Total 31 Senior Executive system analyst job vacancies in Overseas

The Engineering Technician (AC System) is responsible for the installation, maintenance, troubleshooting, and repair of air-conditioning, ventilation, and refrigeration systems throughout the hotel. The role ensures all HVAC equipment operates efficiently, safely, and in compliance with hotel standards to provide a comfortable environment for guests and employees.

Key Responsibilities

HVAC Operations & Maintenance

• Perform preventive and corrective maintenance on air-conditioning, ventilation, and refrigeration systems.
• Inspect, troubleshoot, diagnose, and repair HVAC equipment, including chillers, FCUs, AHUs, split units, package units, and ventilation systems.
• Monitor and maintain HVAC system performance to ensure optimal efficiency and guest comfort.
• Conduct routine inspections of mechanical rooms, plant rooms, and equipment areas.
• Ensure all maintenance activities are completed according to established schedules.

Repair & Troubleshooting

• Respond promptly to maintenance requests and HVAC-related breakdowns.
• Identify equipment faults and perform repairs in a timely manner.
• Replace defective components such as motors, thermostats, filters, compressors, belts, and control systems.
• Coordinate with external contractors when specialized repairs are required.
• Maintain records of repairs and maintenance activities.

Energy Management

• Monitor energy consumption and recommend initiatives to improve energy efficiency.
• Assist in maintaining optimal operating conditions of HVAC systems to reduce utility costs.
• Support sustainability and environmental programs related to energy conservation.

Safety & Compliance

• Ensure compliance with safety regulations, engineering procedures, and hotel policies.
• Follow lockout/tagout procedures and safe work practices when performing maintenance.
• Handle refrigerants, tools, and equipment safely and responsibly.
• Maintain a clean and safe work environment.
• Report any safety hazards or equipment defects immediately.

General Engineering Support

• Assist with general engineering and maintenance tasks as required.
• Support emergency repairs and operational requirements across hotel facilities.
• Participate in renovation, refurbishment, and project-related works when assigned.
• Provide technical support to other engineering team members.

Administration & Reporting

• Complete maintenance logs, work orders, and equipment records accurately.
• Update preventive maintenance schedules and service reports.
• Monitor spare parts inventory and report stock requirements.
• Ensure proper documentation of equipment performance and maintenance history.

Requirements

• Certificate, Diploma, or Technical Qualification in Air Conditioning, Refrigeration, Mechanical Engineering, Electrical Engineering, or a related field.
• Minimum 1–3 years of experience in HVAC maintenance, preferably in a hotel, commercial building, or facilities environment.
• Strong knowledge of air-conditioning, refrigeration, ventilation, and mechanical systems.
• Ability to read technical manuals, schematics, and engineering drawings.
• Knowledge of preventive maintenance practices and troubleshooting techniques.
• Good communication and teamwork skills.
• Willingness to work shifts, weekends, public holidays, and on-call duties when required.

Key Performance Indicators (KPIs)

• Preventive Maintenance Completion Rate
• HVAC Equipment Uptime and Reliability
• Response Time to Maintenance Requests
• Energy Efficiency and Utility Cost Control
• Guest Satisfaction Related to Room Comfort
• Compliance with Safety and Engineering Standards
• Accuracy of Maintenance Records and Reports
• Reduction of Equipment Downtime and Repeat Repairs

• Annual Leave
• Free duty meals
• Birthday Leave
• Long Service Award
• Compassionate Leave
• Medical Insurance

職位概述

軟體系統工程是系統工程的一個分支，專注於開發複雜的軟體密集系統。它涉及分析、設計、開發、測試和維護各種軟體，以滿足特定的使用者需求，同時也要兼顧品質、時間和預算要求。軟體系統工程師需要理解並且能夠解釋系統軟體的所有功能。他們需要與產品負責人、開發人員和品質保證人員合作，共同理解系統的運作方式以及軟體如何支援其功能。

工作職責

軟體系統工程師將評估問題，並設計新系統或改進現有系統，使其更有效率、更完善。他們需要展現卓越的技術能力，交付關鍵任務基礎設施，並確保最高的可用性、性能和安全性。

• 與跨職能開發人員（電氣、機械、軟體、製造）協商，確定係統功能規範

• 分析和評估軟體系統的功能和架構，有時需要開發原型，並參與軟體開發的各個方面，包括使用者需求和需求收集、文件編寫、設計、程式設計、品質控制、發布工程和軟體維護。

• 視需要前往客戶現場，以支援軟體/產品問題，或了解客戶對軟體功能和操作的需求。

• 作為客戶與開發團隊之間的技術和專案聯絡人，在解決方案交付中發揮關鍵作用。使用成熟的方法建立並記錄系統架構。

• 分析並驗證系統設計是否符合要求

• 軟體工程師將與其他工程師合作，了解、開發並確保軟體中使用的演算法已被記錄並納入軟體需求文件中。

• 資深軟體工程師與團隊負責人和開發人員合作，制定軟體開發計畫。

• 軟體工程師應與開發團隊合作，審查軟體測試計畫並提出改進建議。

• 積極主動地進行自身及團隊的持續改善。向同事提供建設性回饋，以改善團隊和流程。

• SSE 支援故事定義，提供必要的澄清，以幫助團隊進行故事估算和排序。

• 系統工程師需要將軟體視為一個系統來看待。系統工程師應該了解軟體介面、支援以及對第三方設備的控制。

• 視需要，可能還會分配其他職責。

要求

• 需具備電腦科學或工程學位，以及7年以上相關工作經驗。

• 具備 C#/.Net 開發經驗。

• 熟悉 Windows 多執行緒和非同步通訊。具備 CAN 總線和乙太網路/串列通訊經驗。

• 需具備專業的英語工作能力，包括閱讀、寫作、口說和聽力。

• 具備敏捷開發的知識與經驗。

• 具備軟體/硬體系統安裝、設定和故障排除的實際工作經驗。

• 熟悉 UML 和/或其他系統建模能力

• 客戶支援體驗。

申請連結：https://jobs.persolmalaysia.com/detail/38871?apply_id=38871&utm_source=jobstore&utm_medium=sponsored

聯絡信箱：jessie.ng@persolapac.com

福利待遇

• 個人休假
• 開放文化
• 個人發展機會

Get to Know the Role

We are seeking a Senior Analyst, Deal Desk and you will act as a strategic advisor to our regional sales team—structuring complex commercial deals, optimizing end-to-end management processes, and ensuring alignment with corporate profitability targets.

This role reports to the Head of Sales Operations and is fully onsite at the Malaysia's First Avenue Office.

The Critical Tasks You Will Perform

• Deal Structuring & Advisory: Serve as the strategic advisor to regional sales teams on complex deal structures, pricing, and commercial terms to maximize profitability and alignment with corporate goals.
• End-to-End Orchestration: Drive cross-functional alignment (Sales, Legal, Finance, and Operations) to move deals from creation through approval to final closure, resolving exceptions.
• Process Design & Optimization: Improve the regional deal management process to boost governance, and commercial velocity.
• Financial Analysis & CRM Insights: Conduct financial modeling, margin analysis, and pipeline tracking by CRM to deliver data-driven insights for negotiations and sales forecasting.
• Contracting and Compliance: Review contract documentation to ensure total compliance with company policies, accurate revenue recognition and agreement.
• Performance Monitoring: Implement tracking mechanisms to ensure closed deals achieve projected financial targets, identifying variances and optimization opportunities.
• Report & Strategy: Translate complex data into clear summaries and recommendations for senior leadership, while mentoring junior team members on deal desk best practices.

ABOUT THE ROLE
As Senior Finance Analyst you will be providing critical analytical support to financial processes and drive strategic value for the Graphics Solutions (GRS), while proactively managing commercial risks. This role acts as a primary finance partner to the GRS Commercial team for AMEA, ensuring that strategic objectives are met while supporting the Strategic, Annual Operating Plan (AOP), forecast processes, and key business projects including regional projects. This role provides valuable experience and cross-functional interaction with senior leadership and sales/marketing teams, offering excellent learning opportunities. The day-to-day activities of a Senior Finance Analyst are diverse and require a blend of financial acumen and business partnering skills.

KEY RESPONSIBILITIES

• Strategic Business Partnering

  • Partner closely with the Commercial and Marketing teams of the GRS business, providing data-driven, strategic insights to drive profitable topline growth and market share expansion.

• Commercial Performance & Portfolio Analytics

  • Assist in the tracking, reporting, and analysis of commercial performance.

  • Build, maintain, and streamline complex financial models to support critical business initiatives, and conduct in-depth profitability analyses across product lines, customer segments, and regions to identify margin improvement opportunities.

• Core Financial Cycles & Closing

  • Support cross-functional teams by delivering accurate, timely financial data for month-end, quarter-end, and year-end closing cycles, as well as the dynamic rolling forecasting process.

• Process Automation & Modernization

  • ​​​​​​​Lead continuous improvement initiatives within the finance function, focusing on utilizing AI and the total elimination of obsolete reporting in favor of automated, consolidated, and simplified business intelligence (BI) / Google Cloud solutions.

• Corporate Governance

  • ​​​​​​​Participate in ongoing divisional initiatives related to internal controls, SoX guidelines, ethics and values, corporate culture change, and OGSM (Objectives, Goals, Strategies, and Measures) alignment

• Proactive Cost & Pricing Monitoring

  • ​​​​​​​​​​​​​​Closely monitor cost fluctuations driven by inflation/deflation and forex, partnering closely with sales & product management teams to drive pricing actions given the last reference market communications.

This role will be based at Menara Skymind.

We are seeking a highly skilled and experienced Senior Research Analyst, Consulting to independently manage and execute complex custom research projects. This role focuses on delivering strategic insights, driving innovation in research processes, and ensuring alignment of custom research deliverables with client and organizational objectives.

Key responsibilities:

• Lead the successful, on-time delivery of custom research projects, ensuring the availability of high-quality, accurate, and validated data to support market analysis and research deliverables.
• Design and implement advanced workflows for data acquisition, cleansing, and processing, leveraging tools and methodologies to ensure robust and reliable datasets.
• Conduct primary research interviews with key industry contacts, synthesizing findings into actionable insights.
• Perform in-depth secondary research using credible sources such as trade journals, public reports, financial releases, and industry publications to gather comprehensive data for market intelligence.
• Build, validate, and maintain large-scale datasets and market analysis, ensuring alignment with product objectives, consistency with related markets, and thorough documentation of methodologies and assumptions.
• Drive innovation in research methodologies, tools, and processes, identifying opportunities to enhance efficiency, quality, and effectiveness in research execution and delivery.
• Mentor and guide junior team members, fostering a culture of collaboration and supporting their professional development to enhance team capabilities.
• Collaborate with senior stakeholders and cross-functional teams to align research outputs with strategic objectives and ensure the delivery of high-value insights.

As a Senior Finance Data Analyst, you will leverage your expertise to directly impact the strategy, growth, and financial operations of our 16 markets by delivering actionable insights and advanced analytics and reporting solutions. In this role, you’ll work as a critical thought partner with senior Finance and FinTech leaders to influence strategy, mentor junior analysts, and leverage AI to build the future of finance analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Financial Reporting and Analytics: Design robust internal and external reporting and measurement solutions for financial operations and FinTech initiatives ranging from projecting and/or evaluating the impact of campaigns to measuring the value of key FinTech partnerships.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key financial operations; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Stakeholder Engagement & Influence: Collaborate closely with senior finance partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how finance analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst and financial workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

This role will be based at Menara Skymind. 

We are looking for a Senior Research Analyst to join our Manufacturing Technology team in Penang. 

• Scoping : use customer-centric feedback to direct minor scope changes, ensuring research remains fresh and relevant while understanding customer needs and questions to enhance research cycles and add value
• Writing and Thought leadership – providing qualitative analysis to support and justify data, focusing on change and development, and developing concise outputs using text plans and structured outlines while discussing the impact of technology and key market trends in written deliverables or market briefing sessions. 
• Sales support –  Partner with the sales team to generate new leads, progress existing leads, and support renewals, using scoping insights to evolve the research offering and align with client needs. 
• Event support – Collaborate with the events team to showcase research and strengthen Omdia’s position in the industry, gathering intelligence at events to develop new research propositions.
• Primary research – Conducting interviews with key industry contacts across various company types, attending trade shows, participating in face-to-face visits to build relationships and gather insights, and maintaining a detailed log of interactions and feedback.
• Secondary research –  Utilizing sources such as trade journals, in-house research, trade associations, public reports, financial releases, and company press releases to support primary research.
• Building base data –Build credible base data with sufficient market player coverage, creating estimates, ensuring consistency with related data and markets, and logging all assumptions clearly.
• Forecasting – Generating market projections using primary and secondary research supported by credible sources, logging assumptions, and creating narratives around market development, opportunities, and risks.

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
• You will lead the identification of new fraud and risk patterns, developing data-driven rules and strategies to address potential risks using advanced methods like Graph-Based Detection.
• You will conduct statistical analyses to ensure the accuracy and efficiency of detection systems, maintaining data and rule integrity.
• You will architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack patterns, and the efficiency of fraud/AML detection systems.
• You will collaborate with Grab business teams to support data extractions, audits, and compliance requirements, ensuring all necessary data is provided for assessments.
• You will conduct experiments to evaluate the effectiveness of risk controls and recommend improvements based on findings.

Job Description

You will join SEEK as a Senior Business Analyst in the AI and Platform Services (AIPS) Delivery and Operations function, reporting to the Program Manager and working with AI Product Managers, Engineers and Data Scientists — including the Pricing and Performance team — to deliver high-value AI products using cutting-edge technology.

You will lead complex business analysis across AI product initiatives, from requirements and process design through to agile delivery, risk management and change adoption, ensuring new AI-driven systems and processes deliver measurable business outcomes that support SEEK's purpose of helping people live more fulfilling and productive working lives.

Key Responsibilities

• Engage stakeholders to define AI product initiative scope, objectives and deliverables, and gather and validate requirements and feedback across the lifecycle.
• Lead the collection and documentation of complex business requirements, user stories, use cases and acceptance criteria for AI product initiatives.
• Analyse, prioritise and trace requirements, clarifying scope, dependencies and business value to guide decision-making.
• Map and document current ("as-is") and future ("to-be") business processes to enable business transformation and AI-driven improvements.
• Support solution design and assess proposed solutions against stakeholder needs, ensuring they deliver measurable value and quality outcomes.
• Drive agile delivery by leading iteration planning, backlog refinement, reviews and retrospectives, monitoring progress and driving continuous improvement.
• Identify and manage technical, operational and market risks, support change management, and help embed new systems or processes with stakeholders.
• Facilitate workshops and cross-functional meetings, coach and mentor junior team members, and share best practices across BA and AIPS communities.
• Collaborate on test case development and support testing and defect resolution to ensure solutions meet agreed requirements and standards.
• Liaise with third-party vendors as needed, supporting SLA compliance and contributing to recruitment and onboarding activities in the team.

Company: Gridlines

Gridlines is a rapidly growing financial modelling consultancy practice. We transforming the world of financial modelling, helping our clients to make

complex financial decisions quickly and with confidence.

We love to work with exciting clients that are making a big impact on the world around us, helping to tackle some of the world's greatest challenges.

We plan to continue our rapid expansion and are looking for the brightest and best talent to join us on this journey.

Role:

We are seekling an experienced model audit professional that is passionate about financial modelling and driven by growth.

You will work with a team of modelling professionals to analyse and review complex financial models, ensuring they are robust and reliable.

Operations:

• Support financial model audit assignments, ensuring accuracy and compliance with both client expectations and industry standards.
• Use a combination of software checks and parallel model development to identify modelling errors.
• Take ownership of specific assignments and projects, demonstrating initiative and dedication to achieving high-quality outcomes.
• Contribute to the development and enhancement of our financial modelling methodologies and tools, driving continuous improvement and innovation.
• Prepare comprehensive model documentation detailing assumptions, methodologies, and results.
• Maintain meticulous records of modelling processes and methodologies to uphold our high standards and ensure consistency.
• Assist in developing project plans, timelines, and resource allocation to ensure efficient and effective project delivery.

People:

• Collaborate closely with team members, learning and contributing to assignments.
• Communicate model findings and insights effectively to clients and internal teams.
• Simplify complex financial model issues to make them understandable for non-technical stakeholders.

Key Skills and Qualifications

• We hire exceptional individuals who can demonstrate our core values of Drive, Innovation, Collaboration and Excellence.
• [1-2] years of relevent experiencein a financial analysis role within a recognized advisory practice or large corporate setting.
• A good appreciation of accounting concepts
• An understanding of Project Finance concepts.
• Strong analytical skills with a foundation in building and operating financial models using Excel.
• Degree qualified in a numerate discipline, with a postgraduate qualification in accounting or finance beneficial.
• Experience with the FAST financial modeling standard is desirable.

A competitive base salary with flexible working arrangements, including a mixture of office-based, working from home, and working on client sites.

Significant opportunities for professional growth and development as we expand.

Access to cutting-edge financial modelling tools and resources.

Collaborative and supportive team culture

About GoTymeX

GoTymeX is the product, technology and data analytics hub of GoTyme Group. At GoTymeX, we're reimagining digital banking across emerging markets, across South Africa and Asia. Our mission is to unlock human potential, and we aim to do so through the development of transformative financial services that empower individuals and small businesses. We believe in the power of digital in building products that make a real difference in our customers' lives. Today, our products serve more than 22 million customers.

About the Credit Card Product

We are building a group-level credit card product — launching across the Philippines and South Africa — on a modern global stack. The analytical function at the heart of this programme has never existed before. We’re creating it now — and we’re looking for the person to build it from zero with us.

Where This Role Sits

You will report directly to the Director of Product, and work day-to-day alongside the Credit Card Product Owners, Engineers, Designers and Business Analysts. You will carry a dotted-line to the Head of Data & Analytics, giving you deep technical mentorship while remaining fully embedded in the product team. You will collaborate regularly with in-country data and credit risk analysts across the Philippines and South Africa.

Why Work with GoTymeX

• Innovation-driven environment: Work with the latest technologies including Serverless aspects of AWS Cloud, AI-augmented engineering, microservices, Java, and Python
• International and collaborative culture: Be part of a dynamic team that values collaboration, continuous learning, and personal growth
• Competitive benefits: Enjoy a comprehensive benefits package, opportunities for professional development (see below) • Learning and development: Access to technical seminars, conferences, career talks, and overseas training to accelerate your career advancement and ensure continuous growth
• Impactful work: Contribute to projects that directly influence financial empowerment and access in emerging markets

About This Role:

The Senior Product Insights Analyst is the analytical engine of this team, owning the narrative behind every product decision. This isn’t a reporting role. It’s a product intelligence function. You’ll build the analytical foundation for our credit card business, identify what’s working and what isn’t, and tell us — with confidence — what to do about it.

Key Responsibilities

Product & Business Performance

• Own end-to-end performance analytics: activation, engagement, spend, repayment, and retention across all markets
• Track and interpret key KPIs — NPS, activation rates, digital adoption, unit economics (interchange, fee revenue, loyalty costs, ECL contribution) — and translate findings into clear product and commercial storylines
• Monitor portfolio health: revolve rates, payment behaviour, limit utilisation, and cohort evolution — with forward-looking commentary, not just snapshots
• Identify performance inflection points early and generate root-cause hypotheses — don’t wait to be asked

Funnel, Onboarding & Product Development Lifecycle Support

• Analyse the full acquisition and onboarding funnel — from application through activation and first spend — and size improvement opportunities
• Embed in sprint ceremonies and product rituals; define measurement frameworks for new features before they go live
• Provide pre-launch data readiness checks and post-launch performance reads for every release
• Support A/B testing and experiment design to evaluate product and go to market initiatives Insight Generation & Strategic Recommendations
• Go beyond the numbers — synthesise analysis into conclusions, flag strategic implications, and propose concrete product or commercial actions
• Proactively surface insights the team didn’t know to ask for: behavioural patterns, market signals, competitive benchmarks • Support go to market strategy, value proposition testing, and loyalty/rewards design with databacked recommendations
• Partner with in-country analytics and credit risk teams to validate and localise findings across the Philippines and South Africa Dashboards, Tooling & AI Utilisation
• Build and maintain self-serve dashboards in Databricks and Mixpanel covering business performance, funnel health, portfolio trends, and unit economics
• You’ll use the best of modern AI tooling — Claude, Cursor, Databricks AI — to compress the time from question to answer. In our environment, fast insight beats slow perfection
• Contribute to analytics best practices, documentation, and data quality standards across the Credit Card programme

Insight Generation & Strategic Recommendations

• Go beyond the numbers — synthesise analysis into conclusions, flag strategic implications, and propose concrete product or commercial actions
• Proactively surface insights the team didn’t know to ask for: behavioural patterns, market signals, competitive benchmarks • Support go to market strategy, value proposition testing, and loyalty/rewards design with databacked recommendations
• Partner with in-country analytics and credit risk teams to validate and localise findings across the Philippines and South Africa Dashboards, Tooling & AI Utilisation
• Build and maintain self-serve dashboards in Databricks and Mixpanel covering business performance, funnel health, portfolio trends, and unit economics
• You’ll use the best of modern AI tooling — Claude, Cursor, Databricks AI — to compress the time from question to answer. In our environment, fast insight beats slow perfection
• Contribute to analytics best practices, documentation, and data quality standards across the Credit Card programme
  

Technical Skills

• SQL: expert-level — complex queries, window functions, optimisation at scale
• Python / PySpark: proficient for data manipulation, statistical analysis, and automation
• BI / Visualisation: Databricks and Mixpanel (primary); Tableau or similar also acceptable
• Statistics: hypothesis testing, cohort analysis, and experimental design
• AI-augmented analytics: demonstrated daily use of AI tools to accelerate insight generation and automate workflows — this is an expectation, not a nice-to-have

Domain Experience

• 5+ years in data/analytics; financial services, fintech, or banking required
• Lending domain strongly preferred — credit card, BNPL, or personal loans. Terms like revolve rate, vintage analysis, and ECL contribution should be second nature, not new vocabulary
• Exposure to credit risk concepts (vintage analysis, ECL, delinquency) is a meaningful advantage
• Experience with customer lifecycle analytics: acquisition, activation, engagement, retention, and churn

Core Competencies

• End-to-end ownership: raw data to recommendation — accountable for whether it’s right
• Insight, not just analysis: “here’s what the data shows, here’s what I think it means, here’s what I’d do” — every time
• Speed: good-enough-fast beats perfect-and-late in a high-velocity build environment
• Proactivity: you spot the question before it’s asked and flag the signal before it becomes a problem
• Data literacy leadership: you raise the analytical bar of everyone around you — not just your own output

Preferred Qualifications

• Bachelor’s or Master’s in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
• Experience in a multi-market or multi-country product environment
• Familiarity with Visa/Mastercard reporting tools or card management system platforms
• Background in high-growth startup or digital bank environments

• Competitive salary that recognises your talent and potential
• Performance-based bonus, including stock-based incentives for high performers
• Conferences and expert-led training to accelerate your career
• Flexibility to work from home or the office (HCMC-based, hybrid)
• Generous annual leave allowance, paid birthday leave, and additional days off
• Meal and parking allowances
• Premium healthcare for you and your family
• Overseas travel opportunities — Philippines, South Africa, and group offices

Responsible for B2B integration system and implementing EDI onboard (Electronic Data Interchange). Ensuring smooth and success onboard adoption and continuous engagement with trading partners. This role works closely with internal and external stakeholders to coordinate onboarding activities. Understanding of EDI concept and working knowledge with RossetaNet and other exchange method standards to enable seamless data exchange between the organization and trading partners.

Key Responsibilities:

• Support and communicate with IT, Business and External Partners.
• Coordinate end-to-end onboarding process for new B2B trading partners.
• Prepare and validate onboarding documentation and required system setup.
• Work together with business to conduct onboarding sessions, communication for technical and business B2B specification. Including partner testing.
• Strong problem-solving and decision-making skills to interpret and or analyse especially during interface testing.
• Robust analytical skills to review and interpret business documents (FDS and FUT).
• Handle SAP IDOC mapping, Partner profile and output condition conversion configuration and interfaces testing.

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

Role Summary 

The R2R Senior Analyst – Lease is accountable for technical judgement and policy guidance across lease accounting under IFRS 16 / ASC 842, acting as a quality checkpoint between lease preparation and tower-level close governance. 

This role ensures that: 

• Lease master data, ROU asset & lease liability accounting, remeasurements/modifications, and tool-to-GL reconciliations are  

• Complete  

• Accurate  

• Independently supported  

• SOX / IPE compliant  

The role owns resolution of non-standard and complex lease cases, ensures consistent interpretation of SOP 10.3.x, and drives disciplined ageing closure, evidence sufficiency, and exception resolution. 

Role Purpose 

To ensure accurate, compliant, and defensible lease accounting outcomes by: 

• Acting as the technical SME for lease accounting and policy interpretation  

• Resolving complex lease scenarios and judgement-heavy cases  

• Driving cross-tower alignment and audit readiness  

• Strengthening controls, governance, and consistency across entities  

Key Responsibilities 

1. Technical Accounting & Policy Interpretation 

• Own interpretation and application of IFRS 16 / ASC 842 standards  

• Provide guidance on:  

• Lease classification and recognition  

• ROU asset and lease liability accounting  

• Discount rates and assumptions  

• Ensure consistent application of lease accounting policies across entities  

2. Complex Case Resolution & Judgement 

• Resolve non-standard and complex lease accounting scenarios, including:  

• Lease modifications and remeasurements  

• Contract interpretation issues  

• System or accounting discrepancies  

• Provide defensible accounting conclusions with documented rationale and evidence  

3. Certification & Control Gatekeeping 

• Certify lease accounting outputs, including:  

• ROU asset and liability balances  

• Amortization and interest postings  

• Lease tool-to-GL reconciliations  

• Ensure:  

• Compliance with SOX / IPE standards  

• Adherence to maker-checker discipline  

• Audit-ready documentation prior to close  

4. Exception Handling & Close Governance 

• Drive exception resolution and break management  

• Perform and enforce:  

• Root Cause Analysis (RCA)  

• Ageing closure discipline  

• Ensure timely escalation of:  

• High-risk items  

• Systemic issues  

• Support close governance and risk management  

5. Cross-Tower Alignment & Integration 

• Collaborate with:  

• Fixed Assets (FA)  

• IDSW  

• Intercompany (IC)  

• Ensure consistency in:  

• Accounting treatment  

• Data flows and integration  

• Resolve cross-functional dependencies impacting lease accounting  

6. Controls, Compliance & Audit Readiness 

• Ensure compliance with:  

• SOX / ICFR controls  

• IPE evidence standards  

• Maintain audit-ready documentation, approvals, and evidence trails  

• Support internal and external audits, including:  

• Lease accounting validation  

• Policy interpretation discussions  

7. Documentation & Technical Positioning 

• Prepare technical accounting memos and judgement documentation  

• Ensure traceability of:  

• Accounting decisions  

• Approvals  

• Supporting evidence  

• Maintain consistency across:  

• Regions  

• Entities  

• Reporting outputs  

8. Continuous Improvement & Standardization 

• Reduce repeat issues through:  

• Standardized policy interpretations  

• Preventive guidance  

• Clear escalation frameworks  

• Improve:  

• Documentation quality  

• Process consistency  

• Control effectiveness  

9. Stakeholder Collaboration 

• Work with:  

• Lease Tower Lead / Reviewer  

• Controllers / Regional Finance teams  

• Real Estate / Contract owners  

• Compliance & Controls teams  

• Fin-Tech / Systems teams  

• Cross-tower SMEs (FA, IDSW, IC)  

• Provide technical guidance and resolution support  

Top Skills for Success 

• Lease accounting expertise (IFRS 16 / ASC 842)  

• Technical accounting judgement and policy interpretation  

• Remeasurements and modification accounting  

• Controls, Compliance & Audit (SOX / ICFR / IPE)  

• Problem solving (RCA / CAPA)  

• Reconciliation quality and exception handling  

• ERP and lease systems (SAP, lease tools, OneStream)  

• Cross-functional collaboration 

Key Outcomes / Success Measures 

• Audit-ready lease controls with certified reconciliations and traceable evidence  

• Predictable lease close with:  

• Disciplined ageing  

• Clear resolution tracking  

• Reduced repeat exceptions  

• Consistent technical judgement aligned to IFRS 16 / ASC 842 standards  

• Faster resolution of complex cases with:  

• Documented rationale  

• Cross-tower alignment  

Tools & Systems 

• Lease Accounting Tool (ROU / liability calculations, remeasurements) — High  

• SAP GL (postings, extracts, reporting) — High  

• OneStream (reconciliation submission / certification, if applicable) — Medium–High  

• Microsoft Excel (amortization schedules, remeasurement models, tie-outs) — High  

• Contract repositories / master data systems — Medium–High  

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!