Data Analytics Internship

Round 1: Application shortlisting → Round 2: Online aptitude & logical reasoning test → Round 3: Technical interview focusing on data concepts and case studies → Round 4: HR interview assessing fit and motivation

Unstop.com promotes a flexible, inclusive, and learning‑focused culture where interns are treated as valued contributors. The platform encourages autonomy, regular feedback, and opportunities to upskill through webinars and mentorship, ensuring a balanced work‑life experience.

The interview process at Unstop typically starts with a short online aptitude test, followed by a technical interview where candidates solve a mini‑case study or discuss a past data project. The final HR round evaluates cultural fit and communication skills. Overall difficulty is moderate; thorough preparation on EDA, SQL queries, and basic statistics helps candidates succeed.

Open to Undergraduate and Postgraduate students from Engineering, Arts, Commerce, Sciences & other streams. Final year students or fresh graduates with a minimum of 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Candidates should have basic knowledge of statistics, data handling, and a keen interest in analytics.

Nova Technology is a fast‑growing data‑centric solutions provider that helps enterprises turn raw information into actionable insights. Founded in 2018, the company has built a reputation for delivering end‑to‑end analytics services ranging from data engineering to predictive modelling for clients in e‑commerce, finance, and healthcare. With a culture that encourages curiosity, continuous learning, and cross‑functional collaboration, Nova Technology has become a preferred destination for young talent looking to make a real impact on business decisions. The Data Analytics Internship, offered as part of the Unstop Summer Internship Fair 2026, is a three‑month, full‑time, work‑from‑home opportunity designed for fresh graduates and final‑year students. Interns will work directly with senior analysts and data scientists on live projects, gaining hands‑on experience with the entire analytics lifecycle – from data ingestion to visual storytelling. The role is ideal for candidates who are comfortable with numbers, love solving puzzles, and are eager to learn modern data tools in a supportive environment. Key Responsibilities: 1. Assist in collecting, cleaning, and processing large datasets sourced from APIs, databases, and spreadsheets. 2. Perform exploratory data analysis (EDA) to uncover trends, patterns, and outliers. 3. Develop interactive dashboards using Tableau or Power BI to communicate insights to non‑technical stakeholders. 4. Support senior analysts in building predictive models using Python libraries such as scikit‑learn or statsmodels. 5. Translate business requirements into analytical tasks and propose appropriate methodologies. 6. Document data pipelines, analysis procedures, and model performance metrics for future reference. 7. Participate in regular team stand‑ups, present progress updates, and incorporate feedback. 8. Conduct quality assurance checks to ensure data integrity and accuracy of analytical outputs. 9. Contribute to ad‑hoc data requests and assist in preparing presentation decks for client meetings. 10. Continuously explore emerging analytical tools and techniques to improve workflow efficiency. Tech Stack: Python (pandas, numpy, matplotlib), SQL, Excel, Tableau/Power BI, Git, Jupyter Notebook, basic statistical methods. Growth Path: High‑performing interns are often offered a Pre‑Placement Offer (PPO) for a full‑time Analyst role. The internship also provides a Certificate of Completion, a Letter of Recommendation, and valuable exposure to real‑world data problems, laying a strong foundation for a career in data science or business analytics. Why Join Nova Technology? The company offers flexible working hours, a mentorship‑driven environment, and direct access to senior data professionals. Interns get to work on projects that directly influence client strategies, making the experience both rewarding and career‑building. The remote setup ensures a healthy work‑life balance while still fostering a collaborative team spirit through virtual meetings and regular feedback sessions.