เงื่อนไขการค้นหา

ทักษะ:

Architecture, Cloud Computing, SAS

ประเภทงาน:

งานประจำ

• Support the shaping of opportunities through structured technical input.
• Contribute to solution design aligned to SAS standards and Managed Cloud capabilities.
• Ensure solutions are feasible and aligned with delivery and operational expectations.
• Build capability across architecture, sales engagement, and delivery alignment.
• You will work closely with Customer Advisory, Professional Services, and Managed Cloud teams globally, contributing to consistent solution outcomes, reducing delivery risk, and supporting reuse of best practices across regions.
• Solution Design & Architecture Contribution.
• Support the design of scalable, secure, and cost-effective SAS Managed Cloud architectures across opportunities.
• Translate business requirements into structured technical solution components aligned with customer and operational needs.
• Contribute to architecture artefacts including high-level designs, sizing inputs, and supporting documentation.
• Participate in architecture discussions and validation activities.
• Sales Cycle Support.
• Provide technical credibility within sales cycles, contributing to solution positioning and proposal development.
• Support the translation of customer requirements into technical solutions and articulating these within proposals.
• Contribute to customer engagements including presentations, workshops, and technical discussions.
• Assist in RFP/RFI responses and other proposal-related activities.
• Sales-to-Delivery Alignment & Risk Awareness.
• Ensure proposed solutions are aligned with delivery capabilities and Managed Cloud operational constraints.
• Collaborate with delivery teams to validate assumptions and identify dependencies.
• Support smooth transition from pre-sales into implementation and managed operations.
• Identify technical risks and escalate where appropriate, contributing to mitigation approaches.
• Architecture Governance & Standards Application.
• Apply structured architecture design approaches, including requirements capture and design validation.
• Follow established architecture standards, patterns, and governance frameworks.
• Participate in design reviews and quality assurance processes.
• Contribute feedback to improve consistency and repeatability of solution approaches.
• Reusable Assets & Enablement Contribution.
• Solution components.
• Architecture artefacts.
• Pre-sales supporting materials.
• Support adoption of standard approaches and best practices across opportunities.
• Participate in knowledge sharing and enablement activities.
• Stakeholder Collaboration, Development & Management.
• Work closely with Account Executives, Customer Advisory, and delivery teams to support opportunity execution.
• Build effective working relationships across global teams.
• Participate in customer discussions with guidance from senior architects as needed.
• Develop technical and architectural capability across SAS technologies and SAS Managed Cloud Services.
• Guide and advise stakeholders on appropriate design approaches, methodologies and technologies to support the required business outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
• Experience in technical architecture, pre-sales, or solution engineering roles.
• Solid knowledge of SAS platforms and enterprise architecture within managed cloud environments.
• Proven experience supporting complex, enterprise-scale sales cycles.
• A commercial awareness and ability to align technical solutions to business outcomes.
• Excellent communication, presentation, and stakeholder engagement skills.
• Ability to operate effectively in a global, matrixed environment.
• Preferred qualifications.
• Experience defining or applying architecture governance frameworks and standards.
• Experience creating reusable assets (blueprints, patterns, whitepapers).
• Strong background in customer enablement, workshops, and consulting engagements.
• Strong problem solving, communication, decision-making and interpersonal skills.
• Cloud platform knowledge and certifications (AWS, Azure, GCP).
• Why this role matters.
• Driving profitable growth in SAS Managed Cloud Services.
• Improving consistency and scalability of solutions globally.
• Reducing delivery risk through stronger architecture discipline.
• Enabling teams through high-quality, reusable technical content.
• How we design solutions.
• How we enable our teams.
• How we deliver value to customers at scale.
• Thailand, Philippines, Malaysia.
• Remote or Hybrid working model with moderate travel based on business needs.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ทักษะ:

Architecture, Cloud Computing, SAS

ประเภทงาน:

งานประจำ

• Nice to meet you!.
• We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
• As part of our continued growth and investment in SAS Managed Cloud Services (MCS), we are expanding our Global Enablement and Sales Support capability across EMEA and the Globe.
• About the role.
• The Technical Pre-Sales Architect plays an important role supporting the intersection of Sales, Architecture, and Delivery, contributing to the growth of SAS Managed Cloud through high-quality solution design, technical validation, and collaboration across teams.
• This is a development-focused architecture role, working as part of a global enablement capability.
• Support the shaping of opportunities through structured technical input.
• Contribute to solution design aligned to SAS standards and Managed Cloud capabilities.
• Ensure solutions are feasible and aligned with delivery and operational expectations.
• Build capability across architecture, sales engagement, and delivery alignment.
• You will work closely with Customer Advisory, Professional Services, and Managed Cloud teams globally, contributing to consistent solution outcomes, reducing delivery risk, and supporting reuse of best practices across regions.
• Solution Design & Architecture Contribution.
• Support the design of scalable, secure, and cost-effective SAS Managed Cloud architectures across opportunities.
• Translate business requirements into structured technical solution components aligned with customer and operational needs.
• Contribute to architecture artefacts including high-level designs, sizing inputs, and supporting documentation.
• Participate in architecture discussions and validation activities.
• Sales Cycle Support.
• Provide technical credibility within sales cycles, contributing to solution positioning and proposal development.
• Support the translation of customer requirements into technical solutions and articulating these within proposals.
• Contribute to customer engagements including presentations, workshops, and technical discussions.
• Assist in RFP/RFI responses and other proposal-related activities.
• Sales-to-Delivery Alignment & Risk Awareness.
• Ensure proposed solutions are aligned with delivery capabilities and Managed Cloud operational constraints.
• Collaborate with delivery teams to validate assumptions and identify dependencies.
• Support smooth transition from pre-sales into implementation and managed operations.
• Identify technical risks and escalate where appropriate, contributing to mitigation approaches.
• Architecture Governance & Standards Application.
• Apply structured architecture design approaches, including requirements capture and design validation.
• Follow established architecture standards, patterns, and governance frameworks.
• Participate in design reviews and quality assurance processes.
• Contribute feedback to improve consistency and repeatability of solution approaches.
• Reusable Assets & Enablement Contribution.
• Solution components.
• Architecture artefacts.
• Pre-sales supporting materials.
• Support adoption of standard approaches and best practices across opportunities.
• Participate in knowledge sharing and enablement activities.
• Stakeholder Collaboration, Development & Management.
• Work closely with Account Executives, Customer Advisory, and delivery teams to support opportunity execution.
• Build effective working relationships across global teams.
• Participate in customer discussions with guidance from senior architects as needed.
• Develop technical and architectural capability across SAS technologies and SAS Managed Cloud Services.
• Guide and advise stakeholders on appropriate design approaches, methodologies and technologies to support the required business outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
• Experience in technical architecture, pre-sales, or solution engineering roles.
• Solid knowledge of SAS platforms and enterprise architecture within managed cloud environments.
• Proven experience supporting complex, enterprise-scale sales cycles.
• A commercial awareness and ability to align technical solutions to business outcomes.
• Excellent communication, presentation, and stakeholder engagement skills.
• Ability to operate effectively in a global, matrixed environment.
• Preferred qualifications.
• Experience defining or applying architecture governance frameworks and standards.
• Experience creating reusable assets (blueprints, patterns, whitepapers).
• Strong background in customer enablement, workshops, and consulting engagements.
• Strong problem solving, communication, decision-making and interpersonal skills.
• Cloud platform knowledge and certifications (AWS, Azure, GCP).
• Why this role matters.
• Driving profitable growth in SAS Managed Cloud Services.
• Improving consistency and scalability of solutions globally.
• Reducing delivery risk through stronger architecture discipline.
• Enabling teams through high-quality, reusable technical content.
• How we design solutions.
• How we enable our teams.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Recruitment, SAS, SPSS, English

ประเภทงาน:

งานประจำ

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

ประเภทงาน:

งานประจำ

• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive i ...
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Recruitment, Tableau, YouTube, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
• Fresh graduation are welcome (0-1 years of experience).
• Ability to communicate fluently in English.
• Basic business acumen.
• Proficient in statistics and Excel.
• Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Familiar with A/B testing concepts.
• Works under close supervision and supports projects with guidance.
• Experience in digital marketing.
• Academic research experience.
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 4+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

ประเภทงาน:

งานประจำ

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

SQL, Power BI, SAS, Python

ประเภทงาน:

งานประจำ

• Develop and maintain portfolio trackers and MIS reports to monitor retail credit performance (e.g., loan growth, asset quality, delinquency trends).
• Highlight abnormal trends, inconsistencies, or potential policy breaches / non-compliance risks.
• Analyze portfolio data to identify risk trends, concentration, and key drivers.
• Provide actionable insights to support policy review and business decisions.
• Conduct basic trend analysis and forward-looking assessments to detect potential risk build up.
• Identify early warning signals such as deterioration in loan quality or high-risk segments.
• Monitor post approval portfolios to detect high risk developers, projects, or locations.
• Develop and enhance dashboards (e.g., Power BI / Excel) for portfolio monitoring.
• Present data in a clear and simple format for management and stakeholders.
• Ensure data accuracy, consistency, and proper documentation aligned with governance standards.
• Support reporting requirements for management, committees, auditors, and regulators.
• Experience in credit policy & Governance, portfolio management, or risk analytics in banking.
• Strong analytical and problem-solving skills.
• Good understanding of credit risk metrics (e.g., delinquency, NPL, vintage analysis, roll rate) and portfolio monitoring.
• Ability to use tools such as Excel, SQL, Power BI, SAS, or Python.
• Able to explain complex data in a simple, understandable way.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• AdditionalRequirements.
• Develop, Engage, Execute, Strategise.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

ประเภทงาน:

งานประจำ

• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Statistical Analysis, Project Management, Problem Solving, Power BI, SAS

ประเภทงาน:

งานประจำ

• Assist clients in credit risk model development, model implementation and model validation activities. These models include application / behavioral / collection / alternative credit scoring model; Basel related model for Probability of Default ("PD"), Loss Given Default ("LGD") and Exposure at Default ("EAD") model; IFRS 9 Expected Credit Loss ("ECL") models; and stress testing model for various portfolios.
• Perform credit risk related data analytic i.e. data extraction and pre-processing, data cleansing, data transformation, data loading, etc.
• Perform advisory services to implement credit risk framework, system, monitoring and reporting for valued clients.
• Perform credit risk stress testing and climate risk stress testing.
• Develop and maintain productive working relationships with client personnel.
• Build strong internal relationships within Advisory and across other services.
• Develop business opportunities and potential openings with clients.
• Handle multiple/simultaneous engagements.
• Master's degree in engineering, finance, economics, statistics, mathematics, actuarial science, operations research, physics or other relevant quantitative discipline from accredited college/university.
• At least two years' experience in the financial services related industry, preferably in a major bank, consultancy firm or regulatory agency.
• Solid knowledge on statistical analysis, econometric modeling, scorecard development methods or machine learning techniques.
• Demonstrable analytical tools and programming skillset e.g. SAS, Python, R, SQL, VBA, PowerBI, etc.
• Familiar with Basel and Bank of Thailand ("BOT") requirement, IFRS 9, ICAAP and strong knowledge with credit risk management issues preferred.
• Relevant professional qualifications such as CFA, FRM preferred.
• Ambitious, self-driven and outspoken individual who can work under high-paced environment.
• Proficiency in spoken and written English and native Thai and wish to work in MNC.
• Strong written, communication and presentation capability.
• Excellent analytical, problem solving and project management skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Business Development, SAS, English

ประเภทงาน:

งานประจำ

• Identify and develop consulting and professional services opportunities with customers.
• Partner with Sales teams to build pipeline and identify opportunities to attach services to software sales.
• Conduct discovery with customers to understand business and technical requirements.
• Shape services and solution proposals that address customer needs and deliver measurable value.
• Support opportunity qualification, proposal development, pricing estimates, and commercial discussions.
• Build strong relationships with customers, partners, and internal stakeholders.
• Identify opportunities to expand existing customer engagements and develop new business.
• Opportunity & Pipeline Management.
• Manage services opportunities from early-stage identification through the start of delivery.
• Maintain visibility of the opportunity pipeline and support accurate forecasting.
• Coordinate with Sales, Presales, Consulting, Architecture, and other technical teams to develop the appropriate customer solution.
• Support deal reviews and ensure proposals are developed and delivered within agreed timelines.
• Work across multiple markets and stakeholders to progress opportunities effectively.
• Customer & Partner Engagement.
• Build trusted relationships with customer stakeholders and understand their business priorities.
• Translate customer challenges into relevant technology, consulting, and professional services opportunities.
• Collaborate with partners where appropriate to strengthen customer solutions and market coverage.
• Communicate clearly with both technical and business stakeholders.
• Technical & Commercial Skills.
• Good understanding of enterprise software and technology solutions.
• Ability to understand customer business and technical requirements and translate them into value propositions.
• Familiarity with consulting or professional services delivery and implementation lifecycles.
• Strong commercial mindset with an interest in developing and growing customer opportunities.
• Ability to work effectively across Sales, Presales, Consulting, and technical teams.
• Exposure to data, analytics, cloud, AI, risk, fraud, or other enterprise technology solutions would be advantageous.
• Strong communication, presentation, and stakeholder management skills.
• What we're looking for.
• Bachelor's degree or equivalent relevant experience.
• Typically 3-8 years of relevant experience.
• Experience in Business Development, Presales, Customer Advisory, Solution Sales, Services Sales, or another client-facing technology role.
• Experience selling, shaping, or supporting technology services and solutions.
• Experience working for a software, cloud, data, AI, or enterprise technology company is preferred.
• Experience with consulting or professional services engagements is advantageous.
• Experience in Financial Services is advantageous but not required.
• Fluent in English.
• You are welcome here.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ทักษะ:

Automation, Salesforce, Leadership Skill, SAS

ประเภทงาน:

งานประจำ

• Bring an objective and analytical approach to assessing opportunities, with a bias toward action.
• Demonstrate curiosity, teamwork, methodical prioritisation, commitment to growth and improvement.
• Identify growth opportunities with existing and prospective clients, and cross-sell Digital Alchemy services.
• Development Opportunities.
• Lead client engagements with a compelling marketing point of view, backed by the capabilities to deliver.
• Ensure best practice design for generating actionable insights, increasing marketing campaign effectiveness, and building compounding learning loops.
• Provide guidance and leadership to a talented team of marketers, analysts, developers, operators, and technologists to deliver a cohesive solution within the working constraints (budget, time).
• Strong client advocacy and persuasive communication skills (written and verbal).
• Measures of Success.
• Billable utilisation and revenue booked against individual goal.
• Sell-through (conversion) of additional Digital Alchemy data, technology, and marketing services.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Linux, SAS, ETL, SQL

ประเภทงาน:

งานประจำ

• Participate in the implementation and deployment of SAS software and solutions.
• Configure, test and support data integration, ETL and data engineering processes.
• Develop and optimise SQL queries, data mappings and transformation logic.
• Support system installation, configuration and environment validation activities.
• Assist with data migration, integration and deployment activities across customer environments.
• Create clear technical documentation, test plans and implementation deliverables.
• Troubleshoot technical issues and support defect resolution throughout the project lifecycle.
• Collaborate with consultants, architects, project managers and customer stakeholders to deliver successful outcomes.
• Support knowledge transfer and transition-to-support activities following project implementation.
• Continue developing expertise in SAS technologies, cloud architectures and industry solutions.
• Bachelor's degree or equivalent practical experience in Computer Science, Information Systems, Engineering, Mathematics, Statistics or a related discipline.
• 0-2 years working experience in similar/relevant role.
• Experience working with data integration, ETL processes, software implementation or technical consulting projects.
• Experience writing SQL queries and working with relational databases.
• Understanding of data management, data warehousing or data engineering principles.
• Knowledge of Linux or Unix operating systems.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts effectively with technical and non-technical audiences.
• Ability to work collaboratively in a project-based consulting environment.
• Additional competencies, knowledge and skills.
• Experience with data engineering or enterprise data platforms.
• Exposure to cloud technologies, containers or Kubernetes.
• Experience with APIs and system integration.
• Knowledge of Python, Java or other programming languages.
• Experience supporting enterprise software implementations.
• Financial services or regulated-industry experience.
• You are welcome here.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Recruitment, Power BI, Python, SAS, English

ประเภทงาน:

งานประจำ

• Manage, clean, and prepare internal and external data for monitoring and analytical assessment of SME Banking portfolios, providing insights and recommendations to enhance portfolio quality and optimize risk-return outcomes including data quality and integrity reports.
• Develop deep-dive analytics across portfolios, products, and customer segments to identify emerging trends, opportunities for SME Banking teams in making decision-ready analytics for business decisions.
• Deploy and enhance pre-emptive early warning signals and monthly triggers to prevent delinquencies, NPLs, and support optimization of banking reserves, through continue enhancement of the triggering framework and improvement of model accuracy.
• Work closely with business users, credit approvers, collections, and relationship managers to align risk parameters, lending policies, product pricing with business strategy and regulatory requirements while generating analytics input for program design and refinement.
• Generate, monitor, assess and improve regular portfolio performance reports and dashboards for senior management, regulators, and key stakeholders, including ad-hoc credit risk analysis and advisory.
• Collaborate with Analytics Support and IT Teams to enhance the Analytics data mart and support system improvements that strengthen portfolio management capabilities.
• Master's degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field.
• 5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking.
• Strong analytical mindset with experience analyzing large datasets and translating insights into actionable business and risk decisions.
• Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts.
• Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.
• Excellent communication and stakeholder management skills, with the ability to present complex analytical findings to non-technical business and senior leaders.
• Proficient in English (written and verbal), with confident presentation and documentation skills.
• Willing to learn adapt with 'can do' attitude; pragmatic and focused on both short & long-term results.
• Strong interpersonal skills with Entrepreneurial mindset.
• The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• Additional.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Risk Management, SAS, Python, SQL, Quantitative Analysis

ประเภทงาน:

งานประจำ

• Probability of Default (PD).
• Loss Given Default (LGD).
• Exposure at Default (EAD).
• Credit Scoring Models.
• Behavioral Scorecards.
• IFRS 9 ECL Models.
• Stress Testing Models.
• Apply statistical and machine learning techniques to improve model performance and predictive power.
• Develop model documentation and methodology papers.
• Model Governance & Validation Support.
• Establish and maintain model governance frameworks and controls.
• Coordinate independent model validation and remediation activities.
• Ensure compliance with internal policies and regulatory requirements.
• Address validation findings and implement improvement actions.
• Model Performance Monitoring.
• Monitor model stability, discriminatory power, calibration, and predictive accuracy.
• Conduct periodic performance reviews and back-testing.
• Recommend recalibration, redevelopment, or retirement of models when necessary.
• Track model risk indicators and prepare governance reports.
• Risk Analytics & Business Support.
• Support business and risk stakeholders in model usage and interpretation.
• Provide quantitative analysis to support strategic initiatives, risk policies, and portfolio reviews.
• Assess model impacts on lending decisions, capital requirements, provisioning, and portfolio performance.
• Regulatory Compliance.
• Ensure model development and governance practices align with regulatory standards and industry best practices.
• Support regulatory inspections, audits, and governance committee reviews.
• Maintain effective documentation and audit trails for model lifecycle management.
• Bachelor's degree or higher in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or related quantitative disciplines.
• Master's degree preferred.
• Minimum 5-8 years of experience in credit risk modeling, quantitative analytics, model validation, or risk management within banking or financial institutions.
• Proven experience developing or managing PD, LGD, EAD, IFRS 9, scorecards, or stress testing models.
• Understanding of model risk management principles and governance frameworks.
• Strong statistical modeling and analytical skills.
• Proficiency in SAS, Python, R, SQL, or equivalent analytical tools.
• Knowledge of machine learning techniques and predictive modeling.
• Experience with model development lifecycle and validation processes.
• Understanding of Basel regulations and IFRS 9 requirements.
• หมายเหตุ: ธนาคารมีความจำเป็นจะต้องดำเนินตรวจสอบและเก็บข้อมูลประวัติอาชญากรรมของผู้สมัครในตำแหน่งงานนี้เพื่อตรวจสอบคุณสมบัติหรือลักษณะต้องห้ามตามนโยบายของธนาคาร.
• The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• Additional.
• Be a Part of the UOB Family.
• UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

ทักษะ:

Microsoft SQL Server, Data Analysis, Recruitment, SAS, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ทักษะ:

Financial Modeling, Risk Management, Accounting, Python, SAS

ประเภทงาน:

งานประจำ

• Develop and implement risk models and methodologies to evaluate and measure financial risk exposure.
• Conduct in-depth quantitative analysis to assess the accuracy and effectiveness of risk models.
• Collaborate with cross-functional teams to validate risk models and ensure compliance with internal and regulatory requirements.
• Monitor and analyze market trends, risk factors, and economic indicators to refine risk models.
• Use advanced statistical techniques to identify, assess, and quantify financial risks.
• Provide insights and recommendations to optimize risk management strategies based on risk model outputs.
• Assist in the development and implementation of risk management frameworks, policies, and procedures.
• Stay updated with the latest industry developments and advancements in risk modeling techniques.
• Skills and attributes for success.
• To qualify for the role you must have.
• Minimum of bachelor's degree in accounting, finance, engineering, or another finance-related role.
• New graduates are welcome with internship experience in a similar role or working environment,preferably in professional services or client-facing role.
• Individual with experience in the Banking or Financial industry with experience in either front process, operation process, accounting process or IT will be highly considered.
• Having knowledge about Financial Modeling and Coding Skills (i.e. Python, SAS, SQL, R Studio, C++).
• Ideally, you'll also have.
• Individual with an experience in Banking or Insurance industry with experience in either front process, operation process, accounting process or IT will be highly considered.
• We currently are seeking a highly motivated individual to work on multiple client engagements, work with a wide variety of clients to deliver professional services, and lead business development activities.
• What we offer.
• We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions.
• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
• The exceptional EY experience. It's yours to build.
• EY | Shape the future with confidence.
• EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
• Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
• Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

SAS

ประเภทงาน:

งานประจำ

• In-Store Styling Support (approx. 60%).
• Co-style alongside Sales Associates during live customer interactions - demonstrating best practices without replacing the SA's role.
• Handle styling consultations for customers with complex needs: body proportion concerns, occasion dressing, wardrobe building, and lifestyle-based outfit curation.
• Provide real-time, constructive feedback to SAs after each interaction, highlighting strengths and coaching on gaps.
• Observe and document recurring styling gaps across branches and report patterns to management - not just individual cases.
• Training & Coaching (approx. 40%).
• Body proportion and silhouette dressing.
• Color coordination and tone matching.
• Outfit building from current season's product range.
• Occasion-appropriate styling.
• Create practical styling reference materials for branch use: look books per collection, quick-reference styling cards, and pairing guides.
• Track individual SA styling skill development over time and adjust coaching plans accordingly.
• Collaborate with Visual Merchandising to align floor display direction with styling guidance.
• Product Buying team Collaboration & Seasonal Planning.
• Attend seasonal product briefings with Buying team to understand key products, hero items, and collection direction.
• Translate product briefs into seasonal styling training plans - e.g., if key product is Flare Jeans, develop a full styling guide covering compatible tops, footwear, body types, and occasions.
• Produce seasonal styling guides per key product for branch distribution before product arrives in store.
• Feedback commercial insights to the Buying team: identify products that customers hesitate on due to styling uncertainty, providing actionable data on assortment gaps or unclear wearability.
• Education.
• Bachelor's degree or diploma in Fashion, Fashion Merchandising, Styling, or a related field preferred.
• Equivalent professional experience will be considered.
• Experience.
• Minimum 2-3 years of experience in fashion retail, personal styling, or a brand-facing fashion role.
• Demonstrated experience in coaching, mentoring, or training others - formal or informal.
• Prior exposure to seasonal buying or product briefing processes is an advantage.
• Skills & Competencies.
• Strong practical knowledge of styling principles: body proportions, color theory, occasion dressing, layering, and outfit building.
• Ability to read a product brief and develop training content from it independently.
• Natural coaching mindset - genuinely motivated by helping others succeed, not by personal recognition on the floor.
• Sharp observational skills - quickly identifies skill gaps in others and styling opportunities with customers.
• Approachable communication style that puts both customers and junior staff at ease.
• Adaptable communicator - able to shift tone and language between customers, store staff, and management.
• Comfortable working cross-functionally with buying, VM, and operations teams.
• Personal Attributes.
• Self-motivated and organized - manages multiple branches and deliverables simultaneously.
• Passion for fashion and genuine interest in helping others develop their styling confidence.
• Collaborative team player with a low ego - this role is about building others up, not standing out alone.
• What Success Looks Like.
• Sales Associates across branches can style customers with confidence and without needing assistance.
• Seasonal key products are introduced with a clear styling plan before they hit the floor.
• Customer styling satisfaction improves, reflected in conversion rates and basket size.
• Feedback loops to the Buying team provide commercially useful insights each season.

ทักษะ:

Compliance, SAS, SQL

ประเภทงาน:

งานประจำ

• Lead and manage the MIS team responsible for Collections reporting, performance monitoring, and incentive/commission calculation and payment processes.
• Oversee the preparation and accuracy of daily, weekly, and monthly business reports for the Collections Department.
• Manage and validate incentive/commission calculations to ensure accuracy, completeness, and compliance with approved incentive schemes and business rules.
• Work closely with Collections, Finance, HR, IT, and other relevant functions to ensure timely and accurate incentive/commission payments.
• Analyze and improve existing reports, processes, and data workflows to enhance efficiency, accuracy, and turnaround time.
• Develop and automate data processes for routine and ad-hoc reporting using tools such as SAS, SQL, Power BI, Tableau, Access, and Excel.
• Gather business requirements, translate them into reporting and analytical solutions, and coordinate with cross-functional teams to deliver new business requirements.
• Develop performance tracking reports and dashboards to monitor collector productivity, efficiency, and key performance indicators.
• Design and develop data visualizations and dashboards that enable management to understand business performance and make informed decisions.
• Provide data analysis and recommendations to support incentive scheme design, performance management, and business planning.
• Establish appropriate data validation and quality control processes to minimize reporting and incentive calculation errors.
• Present complex data and analytical findings clearly to management and business stakeholders.
• Coach and develop MIS team members, assign workload, monitor performance, and ensure timely delivery of team objectives.
• Bachelor's or Master's degree in Business Administration, Statistics, Economics, Information Technology, Computer Science, Data Analytics, or a related field.
• Minimum 10 years of experience in MIS, Business Intelligence, Data Analytics, Reporting, or a related field, with experience in a team lead or supervisory capacity preferred.
• Experience in MIS/reporting within Collections, Banking, Financial Services, or a similar high-volume operational environment is highly preferred.
• Strong experience in SQL and SAS for data extraction, manipulation, and analysis.
• Experience in developing dashboards, automated reports, and data visualization solutions.
• Strong understanding of data validation, data quality, and reporting controls.
• Experience with incentive, commission, productivity, or performance-based calculation is an advantage.
• Strong analytical, problem-solving, and numerical skills with high attention to detail.
• Strong communication and stakeholder management skills, with the ability to translate business requirements into practical data solutions.
• Demonstrated leadership skills with the ability to manage, coach, and develop an MIS team.

ทักษะ:

Microsoft SQL Server, Recruitment, English

ประเภทงาน:

งานประจำ

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.