Data Analyst Internship

Round 1: Online aptitude test (logical reasoning, quantitative, data interpretation) → Round 2: Technical interview (SQL queries, Python basics, data cleaning concepts, case study) → Round 3: HR interview (fitment, motivation, remote‑work readiness)

Zenotalent promotes a learning‑first culture where interns are treated as valued contributors. The company encourages knowledge sharing, offers flexible working hours, and maintains a healthy work‑life balance through regular virtual coffee chats and mentorship sessions.

Candidates typically face a three‑stage process. The first stage is a timed aptitude test focusing on data interpretation and logical reasoning. The technical interview dives into SQL query writing, basic Python data handling, and a mini case study where you interpret a dataset. The final HR round assesses cultural fit, communication skills, and readiness for remote collaboration. Preparing with real‑world datasets and practicing clear storytelling of insights can give you an edge.

Open to Undergraduate and Postgraduate students from Engineering, Management, Arts, Commerce, Sciences, Law, Medical streams. Minimum aggregate of 60% (or CGPA 6.0/10). Final year students (2024‑2026 batches) and fresh graduates are eligible. Maximum of one active backlog allowed at the time of application. Must have a stable internet connection for remote work.

Zenotalent is an emerging data‑centric startup that focuses on building collaborative platforms for young professionals to solve real‑world data problems. Founded by a group of data enthusiasts, the company promotes a culture of curiosity, structured thinking, and responsible data usage. Their mission is to empower the next generation of analysts by providing hands‑on projects, mentorship, and exposure to industry‑grade tools. With a lean team spread across India, Zenotalent encourages cross‑functional learning, allowing interns to interact directly with senior data scientists, product managers, and business stakeholders. The Data Analyst Internship is designed for fresh graduates and final‑year students who are eager to translate raw data into actionable insights. As an intern, you will be part of a dynamic analytics squad that supports multiple product lines, ranging from talent acquisition dashboards to internal performance monitoring tools. The role offers a blend of data engineering, exploratory analysis, and visualization tasks, giving you a holistic view of the data lifecycle. Key Responsibilities: 1. Collect, clean, and validate data from internal databases and external APIs. 2. Organize datasets into structured formats suitable for analysis. 3. Build and maintain recurring reports and interactive dashboards for business stakeholders. 4. Conduct exploratory data analysis to uncover trends, anomalies, and performance patterns. 5. Define and document key performance metrics in collaboration with product owners. 6. Communicate findings through concise presentations and written summaries. 7. Assist in improving data quality by identifying gaps and recommending remediation steps. 8. Automate repetitive reporting processes using scripting or workflow tools. 9. Support ad‑hoc analytical requests from various departments. 10. Stay updated with emerging data tools and best practices, sharing knowledge within the team. Tech Stack: SQL, Python (pandas, numpy), Excel, Tableau / Power BI, Git for version control, and basic cloud storage (AWS S3 or Google Drive). Growth Path: Successful interns may be offered a full‑time Analyst position, with clear progression to Senior Analyst, Data Scientist, or Product Analyst roles based on performance and skill acquisition. The company also provides regular upskilling workshops, mentorship programs, and exposure to client projects, ensuring a steep learning curve. Why Join Zenotalent? You will work on real business problems from day one, receive mentorship from seasoned data professionals, and gain visibility across the organization. The remote‑first model offers flexibility while fostering a collaborative virtual environment. Moreover, the stipend of ₹35K/month ensures you can focus on learning without financial strain.