Swift Recruitment 2025: Data Analyst Internship in Dehradun

Are you passionate about turning raw numbers into meaningful business decisions? If yes, here is an exciting career opportunity for freshers and early-career data enthusiasts. Swift is currently looking for a motivated and analytical Data Analyst Intern to join their team in Dehradun. This is a full-time 1-year internship where you will work with real production data, learn industry-standard BI tools, and gain hands-on mentorship from senior analytics professionals.

Quick Job Overview

About the Company

Swift is a high-growth tech and e-commerce enablement platform dedicated to building next-generation digital commerce solutions in India. By focusing on smart logistics, checkout acceleration, and deep data analytics, the company helps direct-to-consumer (D2C) brands and online retailers streamline customer journeys, increase sales conversions, and optimize operational pipelines.

Working at Swift gives you the chance to immerse yourself in high-impact projects where every data query and dashboard you build directly contributes to real business decisions. The team promotes an open, collaborative environment where freshers receive dedicated mentorship, continuous learning opportunities, and transparent feedback to fast-track their tech careers.

Job Responsibilities

As a Data Analyst Intern at Swift, you will play an active role in gathering, transforming, and presenting data across multiple business verticals. Here is a breakdown of what you will handle day-to-day:

• Dashboard Development: Design, build, and maintain interactive, visually appealing dashboards in Looker Studio (formerly Google Data Studio) for stakeholders and cross-functional teams.
• Writing & Optimizing SQL Queries: Write clean, performant SQL queries to extract, transform, and aggregate data from diverse databases and data warehouses.
• Python Data Analysis: Develop Python scripts using libraries like Pandas and NumPy to clean datasets, run exploratory analysis, and automate routine reporting pipelines.
• Business Collaboration: Work closely with product, operations, and marketing teams to understand their analytical needs and translate them into measurable KPIs and metrics.
• Data Quality & Integrity: Proactively identify discrepancies, anomalies, or missing data records in existing datasets and implement robust fixes to maintain data hygiene.
• Documentation & Knowledge Sharing: Maintain structured documentation for all your data logic, SQL queries, metric definitions, and dashboard workflows so the team stays aligned.

Eligibility Criteria & Educational Qualifications

• Degrees: Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Mathematics, Economics, BCA/MCA, or any engineering background with a strong analytical focus.
• Batch Eligibility: Recent graduates (2023, 2024 batches) and final-year students (2025 batch) who can commit to a full-time 1-year internship are encouraged to apply.
• Experience: 0 to 1 years of hands-on experience in analytics. This includes prior internships, self-driven personal portfolio projects, or academic capstone projects.

Required Skills & Key Competencies

To stand out in the selection process, candidates should have solid foundational clarity in the following skill areas:

• Strong SQL Foundations: Good grasp of writing complex SQL queries using JOINs (Inner, Left, Full), GROUP BY, aggregations, subqueries, and window functions (ROW_NUMBER, RANK, DENSE_RANK).
• Basic Python for Analytics: Familiarity with core Python programming along with fundamental data manipulation libraries such as Pandas and NumPy.
• Data Visualization: Hands-on understanding of visualization principles and practical experience building reports in Looker Studio, Power BI, or Tableau.
• Analytical Thinking & Problem Solving: A keen curiosity to dig deep into raw numbers, understand user behaviors, and spot meaningful patterns.
• Communication & Teamwork: Ability to clearly present your data findings and work smoothly with both technical and non-technical stakeholders.

What You Will Gain From This Internship

• Direct 1-on-1 mentorship from senior data analysts and data engineers.
• Experience building production-grade dashboards used by top business leaders every day.
• Hands-on exposure to modern analytics stacks, scalable databases, and cloud technologies.
• An opportunity to transition into a full-time role based on your performance during the internship.

Selection Process

The hiring workflow at Swift typically includes the following stages:

1. Resume Shortlisting: Initial screening based on your portfolio, SQL/Python projects, and academic background.
2. Technical Assessment / Assignment: A practical task to evaluate your SQL query writing and data visualization capability.
3. Technical Interview: Deep-dive discussion on SQL, data logic, problem-solving puzzles, and past analytics projects.
4. HR & Culture Fit Round: Discussion regarding your availability, career aspirations, and internship onboarding details.

How to Apply

Interested and eligible candidates can submit their applications online directly through the official Swift careers portal. Make sure your resume clearly highlights relevant data analytics projects, GitHub profiles, or live dashboard links before submitting.

Note: We advise candidates to apply early as applications are processed on a rolling basis.