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.
...
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.
...
Partner with People & Culture and business leaders to translate their needs into analytics priorities, ensuring projects are aligned with business impact.
Bachelor's degree in a quantitative field (Data Science, Statistics, Information Systems, Business Analytics) or equivalent professional experience
Proven experience in a data analytics role, with demonstrated success in improving analytics capabilities or leading analytics projects. HR or people analytics experience is preferred
...
Candidates should possess familiarity with digital marketing concepts, such as funnels, conversion rates, and attribution, along with basic proficiency in spreadsheets or analytics tools (e.g., Excel, Google Analytics, or similar).
Candidates should possess a proactive, detail-oriented working style, the ability to learn quickly, and an interest in performance marketing, growth strategy, or data-driven decision-making.
Candidates should possess or be pursuing a diploma or degree in Marketing, Business, Data Analytics, Economics, or a related field; prior internships or projects in marketing or analytics are an advantage but not required.
...
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.
...
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.
...
Design hypotheses and evaluate People programmes or interventions using appropriate research, experimental, or quasi-experimental methods.
Act as a strategic advisor to People and business leaders by framing ambiguous problems, conducting analysis, evaluating options, and translating evidence into practical decisions.
Democratise people data through accessible AI agents, self-service tools, and data products that help non-technical users make better decisions.
...