Job Description

Roles and Responsibilities

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