Data Analyst - Intern

The Swift interview process typically spans three rounds. The first round tests aptitude and logical reasoning, followed by a technical round focusing on SQL query writing, data manipulation in Python and basic analytics concepts. The final HR round assesses cultural fit and communication skills. Overall difficulty is moderate; thorough preparation on SQL joins, window functions and Python pandas operations helps candidates succeed.

Swift promotes a collaborative, learning‑first culture where interns are treated as full team members and given ownership of real projects. Employees enjoy a balanced work‑life schedule, flexible timings and regular knowledge‑sharing sessions that accelerate personal growth.

Graduates (B.Tech/B.E., B.Sc., B.Com, BCA, MCA, M.Tech) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Candidates should belong to the 2025 or 2026 batch, have 0‑1 year of relevant experience (internships, academic projects or personal projects), and no active backlogs at the time of joining.

Round 1: Aptitude & Logical Reasoning → Round 2: Technical (SQL & Python coding) → Round 3: HR interview

Swift is a fast‑growing e‑commerce technology platform that enables brands across India to digitise their sales channels, manage inventory and gain real‑time insights. Founded in 2018, the company has built a robust analytics engine that powers decisions for thousands of merchants, helping them optimise pricing, forecast demand and improve customer experience. With a culture that encourages experimentation and rapid learning, Swift has been recognised for its innovative use of data to drive business outcomes and for fostering a collaborative environment where fresh talent can make an impact from day one. As a Data Analyst Intern at Swift, you will be part of a dynamic analytics team that translates raw data into actionable business intelligence. Your primary focus will be on creating interactive dashboards in Looker Studio, writing efficient SQL queries to pull and transform data, and developing Python scripts for deeper analysis. You will work closely with product managers, engineers and marketing specialists to understand their data needs, surface insights, and help shape data‑driven strategies that influence product road‑maps and growth initiatives. Key responsibilities include: 1. Design, develop, and maintain interactive Looker Studio dashboards that provide real‑time visibility into key performance metrics for internal stakeholders. 2. Write, optimise and document complex SQL queries (joins, window functions, aggregations) to extract and transform data from relational databases. 3. Build Python scripts using Pandas and NumPy for data cleaning, manipulation and exploratory analysis. 4. Collaborate with cross‑functional teams to gather requirements, translate business questions into analytical solutions, and present findings in a clear, concise manner. 5. Identify data quality issues, propose remediation plans, and implement data validation checks. 6. Document data pipelines, query logic and dashboard specifications to ensure knowledge sharing within the team. 7. Participate in code reviews and adopt best practices for version control and reproducibility. 8. Stay updated with emerging analytics tools and techniques, and suggest improvements to the existing analytics stack. Tech stack you will be exposed to includes Looker Studio, MySQL/PostgreSQL, Python (Pandas, NumPy), Git, and basic cloud data warehousing concepts. The internship offers a clear growth path – high‑performing interns are often considered for full‑time analyst or junior data engineer roles, with mentorship from senior data scientists and opportunities to lead small analytics projects. Joining Swift means you will work in a meritocratic environment, receive hands‑on mentorship, and contribute to data products that directly influence the company’s market expansion. If you are passionate about turning data into strategic decisions and thrive in a fast‑paced startup culture, Swift provides the ideal launchpad for a rewarding analytics career.