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:

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.

ประสบการณ์:

4 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.

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:

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 Responsibilities.
• 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).

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SAS

ประเภทงาน:

งานประจำ

• Bachelor's degree in relevant field.
• Minimum 5-8 years of experience in after-sales operations, customer experience, or Service Advisor functions.
• Automotive industry background (mandatory).
• Strong after-sales operations expertise.
• Knowledge of OEM processes and complaint procedures.
• Leadership and team management capabilities.
• Strong communication and problem-solving skills.
• Ability to manage escalations under pressure.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Product Development, Cloud Computing, Microsoft Azure, Web Services, ETL, SAS

ประเภทงาน:

งานประจำ

• This role is responsible for collaborating closely with cross-functional teams to ensure alignment with customer requirements and product capabilities. The role conducts advanced technical demonstrations, analyzes competitors, and designs proof-of-concept projects to showcase solution value.
• The role assists customers with business cases, manages risks, and simplifies technical information while guiding them through the sales process.
• Works closely with sales, product management, and technical teams to ensure alignmen ...
• Conducts advanced technical demonstrations that showcase the depth and breadth of the product's capabilities, addressing intricate technical questions from potential customers.
• Analyzes the strengths and weaknesses of competing products or solutions and provides insights to the sales team to position the organization's products effectively.
• Designs and manages proof-of-concept projects to demonstrate the feasibility and value of the proposed solutions.
• Assists customers in building compelling business cases that demonstrate the return on investment (ROI) and the value of adopting the proposed solutions.
• Gathers, synthesizes and communicates customer feedback and requirements to internal teams to contribute to product development and improvement initiatives.
• Identifies potential risks associated with the proposed solutions and works with customers to address those concerns effectively.
• Translates complex technical information into easily understandable terms, highlighting the business value of the organization's offerings to the clients.
• Provides training to sales teams and other presales consultants on new product features and sales strategies.
• Stays updated with the industry trends, technological advancements, and organization's offerings to effectively interact with customers and guide them through the sales process.
• Education & Experience.
• Recommended.
• Four-year or Graduate Degree in Sales, Marketing, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in technical selling, consultative selling, account management, or a related field or an advanced degree with 3-5 years of work experience.
• Knowledge & Skills.
• Amazon Web Services.
• Application Programming Interface (API).
• Cloud Computing.
• Cloud Services.
• Computer Science.
• Customer Success Management.
• Demonstration Skills.
• Enterprise Application Software.
• Extract Transform Load (ETL).
• IT Infrastructure.
• Microsoft Azure.
• New Product Development.
• Presales.
• Product Management.
• Request For Proposal.
• Sales Process.
• Sales Prospecting.
• SAS (Software).
• Software As A Service (SaaS).
• Virtualization.
• Cross-Org Skills.
• Effective Communication.
• Results Orientation.
• Learning Agility.
• Digital Fluency.
• Customer Centricity.
• Impact & Scope.
• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
• Complexity.
• Responds to moderately complex issues within established guidelines.
• Disclaimer.
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
• LiPost.
• Job -.
• Sales.
• Schedule -.
• Full time.
• Shift -.
• No shift premium (Thailand).
• Travel -.
• Relocation -.
• Equal Opportunity Employer (EEO).
• HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
• Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
• For more information, review HP's.
• EEO Policy.
• or read about your rights as an applicant under the law here: ".
• Know Your Rights: Workplace Discrimination is Illegal.

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:

Recruitment, Power BI, Python, SQL, SAS, English, Thai

ประเภทงาน:

งานประจำ

• About UOB.
• United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means w ...
• Manager - AVP level within the SME Banking Risk Analytics Team, working closely with the Risk Analytics Team Leader to deliver decision-ready analytics that reduce unnecessary risk and improve risk-adjusted return. The position operates with a high degree of autonomy and is expected to influence portfolio and risk-based strategies across SME Banking, while continuing to build technical and analytical expertise in a fast-paced environment. Over time, this role offers the potential to grow into a broader risk analytics or portfolio-level leadership position.
• Manage, clean, and prepare internal and external data for monitoring and analytical assessment of SME Banking portfolios, providing insights and recommendations to enhance portfolio quality and optimize risk-return outcomes including data quality and integrity reports.
• Develop deep-dive analytics across portfolios, products, and customer segments to identify emerging trends, opportunities for SME Banking teams in making decision-ready analytics for business decisions.
• Deploy and enhance pre-emptive early warning signals and monthly triggers to prevent delinquencies, NPLs, and support optimization of banking reserves, through continue enhancement of the triggering framework and improvement of model accuracy.
• Work closely with business users, credit approvers, collections, and relationship managers to align risk parameters, lending policies, product pricing with business strategy and regulatory requirements while generating analytics input for program design and refinement.
• Generate, monitor, assess and improve regular portfolio performance reports and dashboards for senior management, regulators, and key stakeholders, including ad-hoc credit risk analysis and advisory.
• Collaborate with Analytics Support and IT Teams to enhance the Analytics data mart and support system improvements that strengthen portfolio management capabilities.
• Master's degree in data science, Statistics, Engineering, Economics, Finance, or related quantitative field.
• 5-8 years of experience in credit risk analytics, portfolio management, or risk modelling, ideally within SME or Retail Banking.
• Strong analytical mindset with experience analyzing large datasets and translating insights into actionable business and risk decisions.
• Proficient in analytical tools, visualization tools, and programming languages (e.g., SAS, SQL, Python, Power BI, or R), with experience handling large datasets and data warehouses / analytics data marts.
• Good understanding for credit risk concepts, product structures, regulatory requirements, and portfolio reporting frameworks in banking.
• Excellent communication and stakeholder management skills, with the ability to present complex analytical findings to non-technical business and senior leaders.
• Proficient in English (written and verbal), with confident presentation and documentation skills.
• Willing to learn adapt with 'can do' attitude; pragmatic and focused on both short & long-term results.
• Strong interpersonal skills with Entrepreneurial mindset.
• The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
• Additional Requirements.
• 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.
• Apply now and make a Difference.

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:

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:

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.

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.
• Fresh Graduates are welcome to apply!.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science or related fields).
• 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.
• entrylevel.
• 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:

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.

ทักษะ:

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

ประเภทงาน:

งานประจำ

About Agoda 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 sa ...

ทักษะ:

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

ประเภทงาน:

งานประจำ

Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working toget ...