Review and assess alerts generated by our transaction monitoring and screening systems. Require a good level of analytical skill to detect unusual or suspicious transactions and escalate potential hits. Analysts may also be required to send requests for further information from customers.
Conduct transaction reviews and should transaction anomalies be observed, draft Suspicious Transaction Reports (“STR”) for lodgment to the relevant authorities.
Analyse transaction data to identify trends & patterns in transactions that may signify suspicious or fraudulent activities, using data and transaction monitoring tools.
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Collaborate with product managers to define hypotheses and design experiments aimed at improving the consumer experience.
Run A/B testing frameworks, quasi-experiments and statistical methodologies to measure the impact of product changes on main metrics such as user engagement, retention, and conversion rates.
Analyze experiment results to draw actionable insights and make data-driven recommendations for product iterations and enhancements.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Accountable for overall Inventory holding. Responsible for the effective and efficient strategy planning on inventory holding, aged inventory, and all channel inventory planning.
Accountable and responsible on managing accuracy of inventory system and reporting inclusive but not limited to conduct thorough investigation and report of any stocks variance. Manage monthly stocks reconcile or anytime its required and resolve on timely manner.
Own and drive End of Life (EOL) , Return to warehouse (RTW) from stores to warehouse, Return to Vendor (RTV) from warehouse to vendor to deplete all the inventory.
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Fulfil all applicable statutory DPO obligations for the Entity
Ensure that applicable legal obligations regardless of market are identified and operationalized within the services provided, recognizing that each market’s laws may impose obligations on centrally processed data regardless of where processing physically occurs
Provide expert guidance on data privacy obligations, advising on data compliance, and embedding privacy-by-design principles in processes from the outset
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Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules
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Education: Bachelor’s Degree in a quantitative field such as Engineering or Science.
Experience: At least 3 years+ of experience in business analytics or sales operations roles, preferably within B2B, SaaS, or tech environments.
Technical Skills: Proficiency in SQL for data retrieval and analysis. Strong working knowledge of Power BI (at least 1 year experience) for dashboard creation and data visualization.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Review Requests For Proposal (RFP). Identify information for proposal text and budget development and work closely with proposal development team to prepare and finalise proposals.
Prepare text and budget for proposals, rebids and related documents.
Provide support and assistance to other Proposal Developers in the delivery of assigned opportunities.
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Review Requests For Proposal (RFP). Identify information for proposal text and budget development and work closely with proposal development team to prepare and finalise proposals.
Prepare text and budget for proposals, rebids and related documents.
Provide support and assistance to other Proposal Developers in the delivery of assigned opportunities.
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Technical knowledge in SAP S/4HANA HR Development, ABAP, RAP, CDS Views, AMDP, SAP Fiori, SAPUI5/OData, Business Objects, SQL, and SAP HANA would be an advantage.
Familiarity with Employee Central integrations, including Business Integration Builder (BIB), UI Mashups, data replication, and SSO setup/support, is beneficial.
Experience supporting global HR systems and collaborating with stakeholders across multiple regions is preferred.
Migration Strategy Execution: Lead the design and execution of comprehensive data migration frameworks, policies, and processes to smoothly transition legacy data into the new ERP environment
Advanced Governance & Compliance: Design, implement, and maintain advanced enterprise-level data governance frameworks that scale across the organization, ensuring robust data compliance practices
Complex Problem Solving: Tackle highly complex data migration anomalies and discrepancies, performing root-cause analysis to protect the integrity of corporate data
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Analyse, track and optimize on an ongoing basis effective benchmarks for measuring the campaigns performance including keyword/placement bids, account daily/monthly budget caps, impression share, quality score, CTR, conversion rate and other important metrics and proactively make strategic recommendations to meet campaign goals and improve performance.
Communicate with internal stake holders on project development, timelines, and results. Work closely with the other team members to meet goals.
Monitor and administer analytics dashboards and key reporting MIS tools and regularly make recommendations for improving the data available.
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