เงื่อนไขการค้นหา

ทักษะ:

Quality Assurance, Architecture, Assurance, 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:

8 ปีขึ้นไป

ทักษะ:

Leadership Skill, Cloud Computing, SAS, English

ประเภทงาน:

งานประจำ

• Engage with targeted customers and prospect accounts to position and sell SAS Marketing solutions.
• Develop strategies to modernize customer engagement for strategic clients.
• Build and maintain relationships, influencing long-term strategies and engaging with C-level decision-makers.
• Provide expertise in industry, business, and marketing technology to close deals in your assigned territory.
• Support lead-generation activities and integrate strategies into account plans, qualifying based on business and technical fit.
• Develop opportunities and create compelling proposals to communicate the value of SAS solutions, collaborating with internal teams.
• Drive the closure of complex sales and assist with pricing and licensing negotiations.
• Required.
• 8+ years of experience in solution selling within enterprise software or marketing technology space.
• Strong consultative selling skills: understand customer goals, identify value drivers, and present to executives confidently.
• Experience of building executive and director-level relationships by addressing business-critical problems and outcomes.
• Ability to proactively search for marketing opportunities and ensure customer satisfaction.
• Attention to detail while focusing on long-term vision and anticipating potential roadblocks.
• Passionate and collaborative team player with self drive and a strong work ethic.
• Good knowledge of sales techniques, software acquisition cycles, and territory dynamics.
• Strong communication skills in English (spoken and written), ability to work independently and in teams, and has ability to travel internationally 30-50%.
• Bachelor's degree preferably in Business, Marketing, Computer Science, or quantitative field.
• Equivalent combination of education, training and experience may be considered in place of the above qualifications.
• You're curious, passionate, authentic and accountable. These are our values and influence everything we do.
• Diverse and Inclusive.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it's essential to who we are. To put it plainly: you are welcome here.
• 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].
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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:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Kubernetes, Python, Linux, Cloud Computing

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!.

ทักษะ:

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

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.

ทักษะ:

Digital Marketing, Automation, Salesforce, Leadership Skill, Teamwork

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:

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:

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 ...
• 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.