Data Analyst - Intern

Candidates typically face a 30‑minute online aptitude test followed by a 45‑minute technical interview that probes SQL query writing, Python data handling, and scenario‑based analytics questions. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation on SQL joins, window functions, and basic Pandas operations greatly improves performance.

Swift promotes a collaborative, merit‑based environment where ideas are judged on impact rather than seniority. Employees enjoy flexible working hours, regular knowledge‑sharing sessions, and a strong emphasis on work‑life balance, with occasional hackathons to spark innovation.

Graduates or final‑year students of B.Tech/B.E., B.Sc., B.Com or MCA in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields. Minimum 60% aggregate (or CGPA 6.5/10). No active backlogs at the time of joining. Batch years 2023‑2026 are eligible. Internships are open to freshers and candidates with up to 1 year of relevant project or internship experience.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (SQL & Python coding) → Round 3: HR interview (fitment and motivation)

Swift is an emerging e‑commerce technology platform that aims to reshape online shopping experiences across India. Founded by a team of ex‑FAANG engineers and seasoned product managers, the company combines AI‑driven recommendation engines with a robust logistics backbone to deliver faster, more personalized services. With its headquarters in Dehradun and a rapidly expanding remote workforce, Swift has secured multiple rounds of funding and is now scaling its data‑centric product suite. The culture emphasizes rapid experimentation, data‑driven decision making, and continuous learning, making it an ideal launchpad for fresh talent eager to make a tangible impact. As a Data Analyst Intern, you will be immersed in real‑world analytics projects that directly influence business strategy. Working side‑by‑side with senior analysts and data engineers, you will translate raw data into actionable insights, build interactive dashboards, and help maintain data quality across the organization. This role is designed for candidates who are comfortable with SQL, have a basic grasp of Python, and are enthusiastic about visual storytelling using Looker Studio. You will get hands‑on exposure to the end‑to‑end analytics pipeline—from data extraction and transformation to insight delivery and stakeholder communication. **Key Responsibilities** 1. Design, develop, and maintain interactive Looker Studio dashboards for product, marketing, and operations teams. 2. Write, test, and optimise complex SQL queries (joins, window functions, aggregations) to pull data from relational databases. 3. Develop Python scripts for data cleaning, transformation, and exploratory analysis using Pandas and NumPy. 4. Collaborate with cross‑functional stakeholders to gather requirements and translate them into analytical solutions. 5. Identify data quality issues, propose remediation plans, and implement data validation checks. 6. Document data pipelines, query logic, and dashboard specifications for knowledge sharing. 7. Assist in ad‑hoc analysis to support rapid decision‑making during product launches and campaigns. 8. Participate in weekly analytics stand‑ups, presenting findings and recommendations. 9. Stay updated with emerging data‑visualisation and analytics tools, suggesting improvements to the existing stack. 10. Contribute to building a data‑driven culture by mentoring peers on best practices. **Tech Stack**: SQL (MySQL/PostgreSQL), Python (Pandas, NumPy), Looker Studio, Git, basic Excel, and exposure to cloud data warehouses (BigQuery/AWS Redshift) is a plus. **Growth Path**: Successful interns can transition to full‑time Data Analyst roles, with clear pathways to senior analyst, data engineer, or analytics manager positions based on performance and skill acquisition. **Why Join Swift?** The internship offers mentorship from industry veterans, exposure to a fast‑growing e‑commerce ecosystem, and the chance to see your dashboards influence real business outcomes. You will sharpen both technical and communication skills, making you a well‑rounded analytics professional ready for the competitive Indian job market.