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.
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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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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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Brainstorm new and creative growth strategies (including identification of new trends in digital marketing and evaluate new technologies) adhering to best practice guidelines
Plan, execute and measure experiments and conversion tests including A/B and multi-variate testing and dynamic ads optimization
Brainstorm new and creative growth strategies (including identification of new trends in digital marketing and evaluate new technologies) adhering to best practice guidelines
Plan, execute and measure experiments and conversion tests including A/B and multi-variate testing and dynamic ads optimization
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.
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Troubleshooting equipment/process failures, requesting proactive corrective actions, and making recommendations to avoid such issues in the future.
Bachelor's degree in Electrical Engineering, Instrumentation, Mechanical Engineering, or related technical field with minimum 3-5 years in field service, installation, and maintenance of analytical/process instrumentation systems.
Proven experience supervising subcontractors and managing site operations and experience with customer-facing technical support and troubleshooting.
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You will design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
You will 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 GFin.
You will develop self-serve solutions for partners that are scalable and automated to handle a product environment. You will guide plans involving Large Language Models or Generative Artificial Intelligence.
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