We are seeking a Data Analyst Intern to support our data-driven initiatives across product and business functions. This role will focus on building dashboards, creating charts, and conducting analytics based on specific business and product requirements. The ideal candidate has a strong analytical mindset, basic technical skills, and a curiosity to explore data to generate actionable insights.
Responsibilities
- Convert business and product requirements into structured dashboards and reports.
- Build clear and insightful charts that monitor performance, KPIs, and user journeys.
- Analyse user behaviour on app and web platforms (funnels, retention, conversions, engagement).
- Work with tools like PostHog to track and evaluate user actions.
- Write SQL queries to extract and manipulate data from databases (including MBase).
- Use beginner-level Python for data cleaning, transformation, and exploratory analysis.
- Translate raw data into actionable insights that support product and business decisions.
- Collaborate with product managers, business teams, and engineers to align analysis with requirements.
- Assist with on-demand reporting and performance reviews.
- Support data requests across teams in a timely and accurate manner.
Requirements
Knowledge of SQL (queries, joins, aggregations).Beginner-level Python (basic scripting, Pandas / Numpy).Familiarity with PostHog or similar product analytics tools (Mixpanel, GA, Amplitude).Exposure to MBase or relational database systems.Basic knowledge of visualisation / dashboard tools (Metabase, Tableau, Power BI, or similar).Ability to structure and interpret data to address business questions.Strong logical reasoning and problem-solving abilities.Comfort working with product and business stakeholders to define metrics.Good written and verbal communication.Ability to work independently and manage multiple requests.Eagerness to learn new tools, techniques, and frameworks.Attention to detail and commitment to accuracy.This job was posted by Manasa Kamarthi from Flam.
Skills Required
Numpy, Pandas, Power Bi, Tableau, Sql, Python