เงื่อนไขการค้นหา

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:

3 ปีขึ้นไป

ทักษะ:

Network Infrastructure, Microsoft Azure, Windows Server, Procurement, Sharepoint, VMware, SQL, SAS, English

ประเภทงาน:

งานประจำ

• Infrastructure Management (Primary Focus).
• Oversee, manage, and monitor all aspects of the company's IT infrastructure including servers, network systems, cloud services, storage, and security solutions.
• Ensure system performance, availability, scalability, and security across all infrastructure components.
• Perform daily system operations: health checks, performance monitoring, backup verification, and user account management.
• Plan and execute installation, configuration, migration, upgrades, and ongoing maintenance of infrastructure hardware and software.
• Provide backup and onsite support for infrastructure operations when required.
• Conduct root cause analysis on recurring incidents and recommend long-term improvements.
• Technical Support & Troubleshooting.
• Troubleshoot infrastructure and system issues with timely, effective, and permanent resolutions.
• Classify, assess, and prioritize incidents and change requests based on business impact.
• Collaborate with internal teams and external vendors to test and deploy fixes, patches, and updates.
• Formulate clear action plans to resolve issues within defined SLAs.
• Application Support (Secondary Focus).
• Provide L1-L2 application support by coordinating with business users and application vendors.
• Analyze, investigate, and maintain business applications using SQL or other technical tools.
• Support deployment and configuration of application updates, enhancements, and integrations.
• Maintain documentation including Functional Specs, Technical Specs, and User Guides.
• Process Improvement & Documentation.
• Continuously improve operational processes to enhance service quality, reliability, and efficiency.
• Prepare and maintain technical documentation, SOPs, configuration guides, and user manuals.
• Report critical issues, recurring incidents, and risk areas to management with recommended actions.
• Additional.
• Provide IT support for company events, new store openings, and other business activities.
• Manage vendor relationships, coordinate procurement, and review quotations for IT equipment and services.
• Perform other IT operations and infrastructure duties as assigned by Head of IT.
• Diploma or Bachelor's degree in IT, Computer Engineering, Computer Science, or related field.
• Minimum 3 years of hands-on experience in IT infrastructure operations.
• Experience in retail, fashion, FMCG, or multi-branch company environments is strongly preferred.
• Good command of English.
• Technical Skills (Must-Have).
• Windows Server administration: Active Directory, Group Policy, DNS, DHCP.
• Network infrastructure: Firewall (FortiGate preferred), Switches, VLAN, Wi-Fi/AP management.
• Virtualization: VMware.
• Backup & recovery solutions: Veeam or equivalent.
• Microsoft 365 / O365 administration: Exchange Online, SharePoint, Teams, Azure AD.
• Technical Skills (Nice-to-Have).
• Cloud platforms: AWS or Microsoft Azure (basic to intermediate).
• Azure infrastructure management: Azure Virtual Machines, Azure Virtual Network, Azure Active Directory, and Azure resource provisioning.
• Azure Blob Storage: managing storage, containers, access tiers, lifecycle policies, and SAS/access key management.
• POS system support or retail branch IT experience.
• ITSM / ticketing system experience (e.g., Manage Engine, ServiceNow).

ทักษะ:

Project Management, Google Analytics, Web Services, Automation, Salesforce, Javascript, Oracle, SAP, SQL, XML, SAS

ประเภทงาน:

งานประจำ

• Perform day-to-day leadership on Marketing Technology Solutions presale, understand operations, development, system and campaign management on multi-platforms and database.
• Identifies solution improvements to clients and provides communication with client/team and manages the implementation plan and oversee the execution.
• Ensure a clear understanding of requirements so that the solutions delivered to the business are efficient, effective, and meeting the customer experience expectations.
• Understand business processes and provide guidance relative to emerging trends and strategy; understand customer's business, pain points, needs and strategic plans.
• Evaluate & drive proposed technical solutions by weighing the risks, rewards and future implications of each decision and recommending the optimal technical path forward.
• Guide and motivate our client to continually improve their Marketing technology with our team as strategic partner.
• Work closely with Senior Client Services Manager to prepare presale proposal for clients and collaborate with multiple teams.
• Generate ideas and present to client and team for how our solutions can make our clients more successful.
• 4- 7+ years previous project management experience with Salesforce or Adobe or Oracle platform or Marketing Technology consulting industry.
• Demonstrative success with multiple experience of business analyst and presale support for MarTech perspective.
• Significant MarTech platform experience e.g. E-Commerce, CRM, E-mail Automation, Web Analytics, Customer Data Platform, CMS, Line etc.
• Demonstrative success with multiple experience in MarTech assessment, MarTech implementation for marketing technology like Salesforce, Adobe, Oracle, Tealium, SAP, Sas, Sitecore, Google Analytics, Bluekai, Marketo etc.
• Good hands on technical background in HTML, XML, JavaScript, SQL, REST API and SOAP-based web services.
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Digital Marketing, Data Analysis, Recruitment, Negotiation, Power BI, Tableau, YouTube, Python, SQL, SAS, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• Due to continued expansion,.
• 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 (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap.
• 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 e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• 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 e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Digital Marketing, Recruitment, Tableau, YouTube, Python, SQL, SAS, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• This role is based in Bangkok, Thailand, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok.
• Get to Know our.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• In this Role, you'll get.
• 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.
• What you'll Need to.
• 2-3 years of experience.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
• Strong English communication.
• Solid business acumen.
• Strong statistical and analytical skills.
• Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Experience designing and analyzing A/B tests.
• Works independently on daily analytics tasks and provides business recommendations.
• It's Great if you.
• 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:

Digital Marketing, Data Analysis, Recruitment, Tableau, YouTube, Python, SQL, SAS, English

ประเภทงาน:

งานประจำ

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Get to Know our.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• In this Role, you'll get.
• 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.
• What you'll Need to.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• 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.
• Bengaluru.
• 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.
• 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:

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:

SQL, Python, SAS

ประเภทงาน:

งานประจำ

• Manage and plan the data direction and strategy for business need.
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.
• Work Experience.
• 5 years of experience as a data analyst or business data analyst.
• Advanced knowledge in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data studio, Big Query.
• Experience with R, Python, SAS, SPSS, other analytic tools.
• Experience supporting and working with cross-functional teams in a dynamic environment.

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Project Management, Data Analysis, Multitasking, Recruitment, SAS, English, Thai

ประเภทงาน:

งานประจำ

• Assist Strategic Advisors (SAs) in coordinating and attending quarterly strategy meetings (1 hr) and monthly catch-up sessions (30 mins) with students and parents.
• Academic & Admissions Tracking.
• Help monitor each student's academic standing, test prep schedule, and extracurricular progress to ensure alignment with their admissions goals.
• Opportunity Research.
• Identify and recommend relevant competitions, extracurriculars, and profile-building opportunities tailored to each student's interests and target universities.
• Project Management.
• Coach students end-to-end to meet their social impact project milestones alongside expert coaches and NGO partners.
• Homework Monitoring & Guidance.
• Track student homework progress and provide support, tools, or resources to help them complete assignments effectively.
• Timely Communications.
• Manage reminders for important deadlines, events, and document submissions to keep students on track.
• Documentation & Admin Support.
• Maintain accurate student records and provide administrative support for appointments, student engagement, and overall program logistics.
• Ongoing Student Engagement.
• Act as a key point of contact via Line groups, responding to student queries and supporting SAs between meetings.
• Smooth Program Transition.
• Coordinate with SAs to ensure students transition smoothly into the university application counseling phase.
• What You'll Bring.
• Bachelor's degree in any field (recent graduates are encouraged to apply).
• Fluent in English with strong written and verbal communication skills.
• Familiarity with university admissions processes and success factors in the US, UK, Canada, and other major study destinations.
• Strong time management, organization, and multitasking skills.
• Excellent interpersonal skills and a student-focused mindset.
• Eagerness to learn, adapt, and stay current with trends in international education and admissions.
• The Company may use AI-assisted tools to support data analysis at certain stages of the recruitment process. The Human Resources team oversees the entire process and retains final decision-making authority to ensure an accurate and comprehensive assessment.
• Applicant data will not be used to train AI models and will only be accessible to authorized HR personnel and the relevant hiring managers or supervisors.
• By submitting your application for this position through the recruitment system, you acknowledge that you have read and understood this notice.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Teamwork, Tableau, Python, SQL, SAS

ประเภทงาน:

งานประจำ

• Collaborate and work closely with cross function business to identify gaps and structure problems.
• Using data to figure out market and business trends to increase profits and efficiency.
• Conduct data visualization / dashboard.
• Design and delivery of report and insights that analyze business functions and key performance measurements.
• Bachelor or Master Degree in Computer Engineering, Computer Science, or related field (IT, MBA, Finance, Economics).
• At least 3 years experiences in related field, banking and finance industry is advantage.
• Solid experience in data analysis, dashboards and reporting,using all relevant data to support management decision.
• Knowledge of analytic tool (SAS, R, Python) and strong in Excel and SQL language ; familiarity with business intelligence tools (e.g. Tableau, Cognos, Quickview).
• Strong communication, interpersonal, collaboration skills and teamwork.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Data Analysis, Teamwork, Tableau, Python, SQL, SAS

ประเภทงาน:

งานประจำ

• Collaborate and work closely with cross function business to identify gaps and structure problems.
• Using data to figure out market and business trends to increase profits and efficiency.
• Conduct data visualization / dashboard.
• Design and delivery of report and insights that analyze business functions and key performance measurements.
• Bachelor or Master Degree in Computer Engineering, Computer Science, or related field (IT, MBA, Finance, Economics).
• At least 3 years experiences in related field, banking and finance industry is advantage.
• Solid experience in data analysis, dashboards and reporting,using all relevant data to support management decision.
• Knowledge of analytic tool (SAS, R, Python) and strong in Excel and SQL language ; familiarity with business intelligence tools (e.g. Tableau, Cognos, Quickview).
• Strong communication, interpersonal, collaboration skills and teamwork.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Digital Marketing, Recruitment, Leadership Skill, Tableau, YouTube

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:

Digital Marketing, Data Analysis, Recruitment, Leadership Skill, YouTube

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.
• 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:

Thai

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.
• Job.
• 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.
• Additional.
• 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.

ทักษะ:

Quantitative Analysis, Business Development, Financial Modeling, Risk Management, Accounting

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 ...
• 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.

ทักษะ:

Good Communication Skills, Business Development, Microsoft Office, Multitasking, English

ประเภทงาน:

งานประจำ

Qualifications and Skills Solid background preferably with professional experiences in banks/financial institutions in in Business Intelligence Developer role. At least Bachelor's degree from an accredited college/university in appropriate Porgramming disciplines such as computer science/ engineering, information technology. The candidate should be equipped with modest computational background with some statistics and econometrics knowledge. Programming experiences, preferably in the banking system. Computer literacy in standard applications such as Microsoft Office is a must. Stro ...

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Project Management, Microsoft Office, Power point, E-learning, Leadership Skill

ประเภทงาน:

งานประจำ

• Assess training and development needs through surveys, performance evaluations, and discussions with department heads to identify skill gaps and learning priorities.
• Design, develop, and implement learning programs, including workshops, e-learning modules, and leadership development initiatives to enhance employee competencies.
• Coordinate the logistics of training sessions, including scheduling, venue arrangements, materials preparation, and communication with participants.
• Monitor and evaluate training effectiveness by collecting feedback, analyzing learning outcomes, and making recommendations for improvement.
• Manage learning management systems (LMS) and ensure accurate tracking of training records, course enrollments, and completion rates.
• Collaborate with external training providers, consultants, and universities to source and implement specialized training programs.
• Work with Impact team to ensure the training alignment with the institution's priorities.
• Manage onboarding and orientation programs for new employees.
• Support performance management and career development initiatives, mentorship programs, and succession planning efforts by providing guidance on career progression opportunities.
• Maintain up-to-date knowledge of trends in learning and development, industry best practices, and regulatory requirements to ensure compliance and relevance in training programs.
• Work closely with HR leadership to develop and implement policies related to training, professional development, and employee engagement.
• Assist in organizing corporate events, knowledge-sharing sessions, and team-building activities to promote a learning-oriented culture within the organization.
• Perform Learning and Development (L&D) duties and other related assignments as assigned by the supervisor.
• Bachelor's degree in Human Resources, Business Administration, Education, Psychology, or a related field.
• 4-5 years of experience in learning and development, training coordination, or organizational development.
• Strong knowledge of training methodologies, instructional design principles, and adult learning theories.
• Experience in using learning management systems (LMS) and e-learning tools for course administration and tracking.
• Strong project management skills, capable of handling multiple training programs and meeting deadlines. Proficiency in Microsoft Office Suite (PowerPoint, Word, Excel) and other learning-related software.
• Ability to analyze training needs and measure learning effectiveness through assessments and feedback mechanisms.
• Experience in coordinating external training vendors, trainers, and consultants is an advantage.
• A proactive and innovative mindset, with a passion for continuous learning and employee development.
• Fluency in both Thai and English, with strong written and verbal communication skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Digital Marketing

ประเภทงาน:

งานประจำ

• Plan, execute, and optimize paid advertising campaigns across Google, Meta, TikTok, and other digital channels to drive user acquisition and maximize ROI.
• Manage campaign budgets and performance, making data-driven decisions to improve CAC, ROAS, and conversion rates.
• Develop and execute integrated digital marketing campaigns that deliver a seamless customer journey across paid touchpoints.
• Analyze and optimize in-app user journeys and marketing automation campaigns to improve user retention and conversion.
• Conduct A/B testing on creatives, ad copy, audiences, and landing pages to continuously improve performance.
• Monitor campaign performance, identify growth opportunities, and provide actionable insights.
• Collaborate with cross-functional teams to align marketing initiatives with business objectives.
• 3+ years of hands-on experience managing and optimizing paid media campaigns across Meta, Google, and TikTok.
• Proven experience marketing mobile applications with a strong understanding of CPI, CPA, in-app events, and mobile user behavior.
• Experience using Mobile Measurement Platforms (MMPs) such as AppsFlyer, Adjust, or Branch for attribution and performance tracking.
• Familiarity with marketing automation platforms such as CleverTap or Braze.
• Strong analytical skills with the ability to interpret data, build funnels, and optimize budgets based on performance metrics.
• Ability to work independently, manage multiple priorities, and deliver results in a fast-paced environment.
• Proficient in performance reporting and translating insights into actionable recommendations.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment

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.