Data Analyst

The UniApply interview process typically starts with a timed online aptitude test, followed by a technical interview that assesses SQL queries, Python scripting, and case‑study analysis. The final HR round focuses on cultural fit and communication skills. Overall difficulty is moderate, and candidates should prepare with real‑world data scenarios and clear articulation of their analytical approach.

UniApply promotes a results‑oriented yet flexible work culture where employees enjoy autonomy, regular knowledge‑sharing sessions, and a supportive environment for personal growth. The company emphasizes transparent career paths, frequent feedback, and a healthy work‑life balance, especially with its remote‑first policy.

Graduates (B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent) from any stream with a minimum of 60% aggregate. Final year students of the 2025 or 2026 batch are eligible. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn are essential.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL/Python/Case Study) → Round 3: HR Interview

UniApply is a fast‑growing Indian ed‑tech platform that bridges the gap between aspiring students and higher‑education institutions across the globe. Founded in 2020, the company leverages AI‑driven recommendation engines to personalize college and course suggestions, helping thousands of candidates make informed decisions every year. With a strong focus on data‑centric decision making, UniApply has built a robust analytics engine that powers its matchmaking algorithms, content personalization, and market expansion strategies. The organization operates with a lean, collaborative culture that encourages ownership, continuous learning, and innovation, making it an attractive destination for fresh talent looking to make a tangible impact. In recent years, UniApply has expanded its footprint beyond the Indian market, establishing partnerships with universities in the US, UK, Canada, and Australia. This expansion has driven a surge in data volume, creating a need for skilled analysts who can turn raw data into actionable insights. The company promotes a flexible work‑from‑home model, allowing employees to work from any location while staying connected through regular virtual stand‑ups and cross‑functional syncs. Employees enjoy a balanced work‑life environment, with generous leave policies, wellness programs, and opportunities for upskilling through internal workshops and external certifications. The Data Analyst role is designed for fresh graduates who are passionate about extracting meaningful patterns from large datasets. As a Data Analyst at UniApply, you will be responsible for cleaning, validating, and preparing data for reporting and visualization. You will collaborate closely with product, marketing, and operations teams to understand business requirements and deliver data‑driven solutions that enhance user experience and drive growth. The position offers exposure to a modern tech stack, mentorship from senior analysts, and a clear career progression path. Key Responsibilities: 1. Conduct in‑depth data analysis to identify trends, patterns, and outliers. 2. Clean and validate data to ensure accuracy and consistency. 3. Prepare data for reporting and visualization using SQL, Python, and Tableau. 4. Collaborate with cross‑functional teams to understand business requirements and provide data‑driven solutions. 5. Develop and maintain data models and algorithms for predictive analysis. 6. Present findings and recommendations to stakeholders clearly and concisely. 7. Automate repetitive data processing tasks using scripting languages. 8. Monitor data pipelines for performance and reliability. 9. Document analytical processes and maintain data dictionaries. 10. Stay current on industry trends and best practices in data analytics. Tech Stack: SQL, Python (pandas, numpy), Tableau, Power BI, Excel, Git, AWS S3 for storage, and basic knowledge of statistical modeling. Growth Path: Junior Data Analyst → Data Analyst → Senior Data Analyst → Analytics Manager → Head of Data & Insights. Why Join UniApply: You will work on real‑world problems that directly influence millions of students' educational journeys, benefit from a fully remote setup, receive a competitive salary package of 6‑9 LPA, and gain mentorship from industry‑experienced professionals. The role offers ample scope to upskill, experiment with cutting‑edge analytics tools, and accelerate your career in a high‑growth environment.