Senior Data Analyst

• Own and drive

  data-driven solutions

  to optimise product performance and overall business outcomes by analysing product, learner, and operational data.
• Execute

  end-to-end analytics initiatives

  with high ownership from problem scoping and data analysis to implementation, evaluation, and stakeholder adoption ensuring alignment with organisational goals.
• Analyse product and learner journeys to

  identify performance patterns, drop-offs, and gaps

  in system and user flows, translating findings into actionable analytical initiatives and product/process enhancements.
• Plan and conduct

  structured, hypothesis-driven analyses

  with clearly defined objectives, scope, methodology, and data requirements to ensure unbiased, decision-ready insights.
• Build and maintain

  analytical frameworks, models, and automations

  that improve product effectiveness, streamline internal operations, and enable more personalised and efficient learner experiences.
• Monitor and evaluate the impact of implemented analytics solutions, continuously iterating to improve accuracy, relevance, and long-term business value.
• Design and manage

  monitoring and alerting mechanisms

  for dashboards, automations, and analytical outputs to ensure reliability and early issue detection.
• Take complete ownership of

  data accuracy, consistency, and integrity

  across reports, dashboards, analyses, and automated outputs, ensuring all deliverables are stakeholder-ready.
• Conduct analytical and technical research to enhance methodologies, including

  forecasting approaches, segmentation logic, feature engineering, and performance measurement techniques

  .
• Translate complex analytical findings into

  clear insights, dashboards, and executive-ready recommendations

  for leadership and cross-functional teams.
• Collaborate with engineering and DevOps teams to

  deploy and operationalise analytics solutions

  , supporting version control, monitoring, troubleshooting, and workflow integration.
• Create and maintain

  comprehensive documentation

  for data sources, logic, dashboards, automations, and analytical processes to ensure transparency and scalability.
• Partner closely with

  Product, Academics, Operations, and Business teams

  to understand context, refine requirements, and ensure analytics outputs are practical and actionable.
• Develop a deep understanding of

  product offerings, learner journeys, and operational workflows

  to ensure analytics initiatives are context-aware and high-impact.
• Continuously upskill in analytics tools, techniques, and domain knowledge to stay aligned with evolving best practices and business needs.

Education & Experience

• Bachelor s or Master s degree in

  Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field

• 4-7 years

  of relevant experience in

  data analytics, product analytics, or business intelligence

  roles

Good to Have

• Experience in

  EdTech, SaaS, or LMS-based platforms

• Exposure to

  ML concepts

  such as clustering, forecasting, or predictive modelling
• Familiarity with

  cloud data environments

  (BigQuery, Redshift, Snowflake, etc.)
• Experience working with

  engineering or DevOps teams

  for analytics deployment