Data Analytics Internship

Round 1: Application shortlisting → Round 2: Online aptitude & logical reasoning test → Round 3: Technical interview (data concepts, SQL, Python) → Round 4: HR interview (fit & motivation)

Unstop.com promotes a collaborative, learning‑first environment where interns are treated as valued contributors. The platform encourages flexibility, continuous upskilling, and regular interaction with industry mentors, ensuring a balanced work‑life experience while delivering real impact on projects.

The interview process at Unstop typically starts with a shortlisting stage followed by an online aptitude test that assesses quantitative and logical reasoning. The technical round focuses on data manipulation, SQL queries, and basic Python coding, while the HR round evaluates cultural fit, communication skills, and motivation for analytics. Candidates are advised to practice real‑world data scenarios and be ready to discuss past projects.

Graduating students of 2025‑2027 batch; B.Tech/B.E., B.Sc., B.Com, BCA, MCA or related degrees; majors in Computer Science, Information Technology, Statistics, Mathematics, Economics or Data Science; minimum CGPA 6.5/10 (or equivalent); no active backlogs; strong analytical mindset and willingness to learn.

Unstop.com is one of India’s fastest‑growing platforms that connects students with internships, live projects, and entry‑level jobs. Founded with the vision of democratizing access to real‑world experience, Unstop has built a vibrant community of over 5 million young professionals across the country. The platform not only aggregates opportunities from startups, SMEs, and large enterprises but also curates learning resources, hackathons, and career‑building events. By fostering a culture of continuous learning and mentorship, Unstop helps freshers bridge the gap between academic knowledge and industry expectations. The Data Analytics Internship, offered under the Unstop Summer Internship Fair 2026 and hosted by Nova Technology, is a three‑month, full‑time, work‑from‑home opportunity. Interns will be embedded within a cross‑functional analytics team that supports data‑driven decision‑making for multiple client projects. The role is designed for students who are passionate about turning raw data into actionable insights and are eager to gain hands‑on experience with modern analytics tools. Key responsibilities include: 1. Collecting, cleaning, and preprocessing large datasets from APIs, CSV files, and cloud storage. 2. Conducting exploratory data analysis to uncover trends, patterns, and outliers. 3. Building interactive dashboards using Tableau or Power BI to visualize key metrics. 4. Assisting senior analysts in developing predictive models with Python (pandas, scikit‑learn) or R. 5. Performing statistical tests (t‑test, chi‑square) to validate hypotheses. 6. Documenting data pipelines, analysis methodology, and findings in clear reports. 7. Collaborating with product, marketing, and operations teams to translate business questions into analytical tasks. 8. Participating in daily stand‑ups, sprint planning, and presenting progress updates. 9. Ensuring data quality through validation checks and error handling. 10. Contributing to ad‑hoc data requests and supporting the team’s continuous improvement initiatives. The tech stack primarily includes Python, SQL, Excel, Tableau/Power BI, and Git for version control. Interns will receive mentorship from experienced data scientists, exposure to real client data, and the chance to see end‑to‑end analytics workflows. Successful interns may be offered a pre‑placement offer, a certificate of completion, and a letter of recommendation, paving the way for a full‑time role in data analytics or data science at Nova Technology or partner firms. Joining this internship provides a unique blend of practical exposure, professional networking, and a solid foundation for a career in the data domain.