Data Analyst – Off-Campus Hiring

Round 1: Online Application → Aptitude & SQL/Python Assessment → Round 2: Technical Interview – problem solving and case study discussion → Round 3: HR/Managerial Round – culture fit and career aspirations

MHTECHIN promotes a collaborative and learning‑centric culture where junior talent is mentored by senior leaders. Employees enjoy a hybrid work model, regular skill‑upgradation sessions, and a clear path for career growth, balancing challenging projects with a supportive work‑life environment.

MHTECHIN's interview process typically spans three rounds: an online aptitude and SQL/Python test, a technical interview focusing on data analysis case studies and coding, followed by an HR round assessing cultural fit. The difficulty is moderate, with emphasis on logical reasoning, SQL query writing, and clear communication of analytical insights. Preparing with real‑world datasets and practicing dashboard creation can give candidates an edge.

Graduation Year: 2025 or 2026. Degrees accepted: B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA (Analytics) or equivalent. Field of Study: Computer Science, Statistics, Mathematics, Data Science, Economics or related. Minimum aggregate: 60% or CGPA 6.0. No active backlogs at the time of joining. Must have strong knowledge of SQL, advanced Excel, and familiarity with Python or R. Good communication skills in English are required.

MHTECHIN is a fast‑growing technology solutions provider headquartered in Pune, known for delivering innovative products across finance, healthcare, and e‑commerce domains. With a strong focus on data‑driven decision making, the company has built a reputation for leveraging cutting‑edge analytics to solve real‑world business problems. Over the past few years, MHTECHIN has expanded its analytics capabilities, establishing a dedicated data team that collaborates closely with product, marketing, finance, and operations units. The firm’s culture emphasizes continuous learning, mentorship, and a collaborative environment where fresh ideas are encouraged. The Data Analyst – Off‑Campus Hiring role is designed for recent graduates who are eager to translate raw data into actionable insights. As a junior member of the analytics team, you will work on end‑to‑end data pipelines, develop visual dashboards, and support strategic initiatives across the organization. You will be mentored by senior data scientists and will have exposure to a variety of business functions, allowing you to build a holistic understanding of how data influences product development and market strategy. Key Responsibilities: 1. Collect, clean, and transform large, complex datasets from multiple internal and external sources. 2. Build and maintain interactive dashboards and visualizations using Tableau, Power BI, or Looker. 3. Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities. 4. Design, execute, and evaluate A/B tests, performing statistical analysis to derive insights. 5. Develop predictive reports and simple forecasting models using Python or R. 6. Collaborate with cross‑functional teams to translate business questions into analytical solutions. 7. Ensure data quality, accuracy, and security throughout the data pipeline. 8. Document methodology, findings, and recommendations for both technical and non‑technical stakeholders. 9. Assist in the creation of data models and support ETL processes using tools like dbt or Airflow. 10. Stay updated with emerging analytics tools and best practices, sharing knowledge within the team. Tech Stack: SQL, Advanced Excel, Python/R, Tableau/Power BI/Looker, Cloud data warehouses (BigQuery, Snowflake, Redshift), ETL tools (dbt, Airflow), basic statistical packages. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Manager within 2‑3 years, supported by structured mentorship programs and internal upskilling workshops. Why Join MHTECHIN? You will be part of a next‑generation analytics team that directly influences business strategy, receive mentorship from seasoned data professionals, enjoy a competitive salary with performance bonuses, and benefit from a flexible hybrid work model that promotes work‑life balance while offering exposure to diverse projects across industries.