Senior Data Analyst

We are hiring an experienced Senior Data Analyst to join an on-site analytics team in India. You will convert raw data into actionable insights that improve course outcomes, learner engagement, and placement metrics working closely with Product, Curriculum, Sales and Placement teams to drive measurable business impact.

• Design, build and maintain reliable SQL queries and analytics pipelines to deliver daily, weekly and ad-hoc business reports.
• Create and operate interactive dashboards and visualisations (Tableau/Power BI) to track learner funnels, course KPIs and placement performance.
• Partner with product and operations stakeholders to translate business questions into measurable metrics and analytical experiments.
• Perform cohort analysis, retention analysis and A/B test evaluations to inform curriculum improvements and growth initiatives.
• Define and implement data-quality checks, metadata documentation and basic data governance for core learner datasets.
• Automate recurring analyses and reporting workflows to reduce manual effort and accelerate decision cycles.

Must-Have

• SQL
• Python (pandas/numpy)
• Tableau
• Power BI
• Advanced Excel (PivotTables, Power Query)
• Data Modeling

Preferred

• Google BigQuery or AWS Redshift
• dbt or Apache Airflow
• A/B Testing and Experimentation

Qualifications : Bachelors degree in a quantitative discipline (Statistics, Mathematics, Economics, Computer Science or equivalent). Proven track record of delivering analytics products and dashboards in a high-growth environment. Strong stakeholder-facing experience and comfortable working on-site in India.

• Collaborative, mission-driven environment focused on learning outcomes and measurable impact.
• Hands-on ownership of analytics products, visibility to senior leadership and influence over product roadmap.
• Opportunities for professional growth across data, product and business functions.

This role is ideal for an analytical, delivery-focused professional who wants to drive learner success through robust analytics, clear storytelling and scalable data products. Keywords: SQL, Python, Tableau, Power BI, data pipelines, ETL, data modelling, A/B testing, learner analytics, BI.