Develop and execute incrementality measurement studies to isolate true campaign impact, including A/B testing, holdout analysis, and matched market approaches for paid marketing campaigns.
Build and maintain Media Mix Modeling (MMM) frameworks to quantify the impact of paid marketing spend across channels, optimize budget allocation, and forecast campaign performance.
Design and conduct geo-lift studies to measure causal impact of paid marketing initiatives at regional or market levels, supporting strategic decision-making and ROI validation.
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Own the Business Intelligence and reporting ecosystem — define standards for dashboards, metrics, and KPI definitions so the business works from a single source of truth.
Establish and govern a consistent metrics layer (semantic definitions, naming, calculation logic) to prevent conflicting numbers across teams.
Oversee development and maintenance of executive, operational, and self-service dashboards.
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Responsible for the delivery and SLAs by guiding incident resolution, problem management, maintenance, and enhancement tickets raised by the end users for data solutions.
Engage with internal technology team to facilitate access to relevant data sources and ensure data quality and governance.
Technically lead the way in reviewing and adopting new, emerging and existing tech, leveraging benefits to improve availability, operations and support objectives.
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Maintaining master mapping (Product, Customer, Sales Representative) for IMS Dashboard. Ensuring data is matching versus distributor portal
Managing Veeva CRM to support MCCP upload, data maintenance and troubleshooting if required. Aim to have highest data accuracy, well crafted SOP and data completeness. At one point to be able to provide training for end users
Assist SFE Manager in Profiling, Segmentation and Targeting which includes working with multifunctional team to assess potential through survey and to match sales through ZP Ship to code
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Own the Business Intelligence and reporting ecosystem — define standards for dashboards, metrics, and KPI definitions so the business works from a single source of truth.
Establish and govern a consistent metrics layer (semantic definitions, naming, calculation logic) to prevent conflicting numbers across teams.
Oversee development and maintenance of executive, operational, and self-service dashboards.
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Experience or demonstrated capability in developing AI solutions, Copilot solutions or AI agents, preferably within Microsoft 365 or similar environments.
Good understanding of data sources, data extraction, transformation and integration.
Strong analytical and problem-solving skills, with the ability to identify manual or repetitive processes and translate them into automation opportunities.
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MINIMUM ACADEMIC / PROFESSIONAL QUALIFICATIONCandidate must possess at least bachelor’s degree in Data Analytics, Information Technology, or any other similar courses
RELATED EXPERIENCE
At least 3 of relevant experience in data analytics work, creating and implementing effective data visualization, dashboards, and reports.
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Design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
Analyse clickstream and transactional data to uncover insights on user behaviour and guide product metrics. You will manage instrumentation for all feature releases within assigned tech families within the bank.
Develop self-serve solutions for partners that are scalable and automated to handle a product environment.
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You will need to manage and priorities work on a daily basis in order to manage customers' expectations and the efficiency of the subject to demands of workflow.
Create, maintain and perform analytics and statistical reports required to assist all internal teams including Marketing, Trade, RMS and S&MS using your technical skills (SQL, SAS, R and/or Python)