Data Analyst

About this role

Skills you'll use

What you'll do

• Collect, clean and transform raw data so it is accurate, consistent and analysis-ready
• Write and optimise SQL queries to pull data from warehouses and production databases
• Build and maintain dashboards and recurring reports for business and product stakeholders
• Analyse trends, funnels, cohorts and anomalies, and explain what is driving them
• Partner with product, growth, finance and operations teams to answer business questions with data
• Run data-quality checks and validation so reported numbers can be trusted
• Automate repetitive reporting so the team spends time on analysis, not copy-paste
• Present findings clearly through concise decks, notes and visualisations

Who can apply

• Bachelor's/Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science or a related quantitative field
• 0–2 years of professional experience — 2023–2026 graduates and freshers with strong project work are encouraged to apply
• Strong SQL — joins, aggregations, subqueries and window functions written from scratch
• Advanced Excel / Google Sheets: pivot tables, lookups, conditional logic, charting
• Working knowledge of Python or R for data manipulation (pandas, NumPy)
• Familiarity with a BI tool such as Power BI, Tableau, Looker or Metabase
• Understanding of core statistics — distributions, averages vs medians, correlation, basic hypothesis testing
• Ability to structure an ambiguous business question into a concrete analysis plan
• High attention to detail and a healthy scepticism about data quality
• Clear communication — you can explain a chart to someone who has never seen the data

Perks & benefits

Interview & selection process

6 rounds — typical selection flow for this role:

1. 1Resume & profile screening
2. 2SQL / Excel online assessment
3. 3Case round — business problem solving with data
4. 4Technical interview — analytics depth and past projects
5. 5HR discussion & culture fit
6. 6Offer letter

About Purplle

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