Data Analyst – Off-Campus Hiring 2026

MHTECHIN's interview process typically starts with an online aptitude test followed by a SQL/Python coding assessment. The technical interview focuses on data‑analysis case studies, EDA, and statistical concepts, while the HR round evaluates cultural fit and career aspirations. Candidates should practice data‑manipulation problems and be ready to discuss past projects clearly.

MHTECHIN promotes a learning‑first culture where employees are encouraged to upskill through internal workshops and external certifications. The company offers a balanced hybrid model, flexible timings, and clear growth tracks, ensuring both professional development and work‑life harmony.

Graduation Year: 2025 or 2026. Degrees accepted: B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA (Analytics) or equivalent. Eligible streams: Computer Science, Statistics, Mathematics, Data Science, Economics or related disciplines. Minimum aggregate: 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Candidates must have strong command of English (written & verbal).

Round 1: Online Application → Round 2: Aptitude & SQL/Python Assessment → Round 3: Technical Interview (problem solving, case study) → Round 4: HR/Managerial Round

MHTECHIN is a fast‑growing technology solutions provider headquartered in Pune, India. With a focus on digital transformation, the company delivers end‑to‑end products for finance, healthcare, and retail sectors. Over the past few years, MHTECHIN has expanded its analytics practice, helping clients turn raw data into actionable business intelligence. The firm prides itself on a culture of 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 start their career in data‑driven decision making. As a junior member of the analytics team, you will work closely with product managers, marketers, finance professionals, and operations leaders to uncover insights that shape strategy. You will be exposed to the full data lifecycle—from ingestion and cleaning to visualization and storytelling—using industry‑standard tools. 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 identify trends, outliers, and patterns. 4. Design, execute, and evaluate A/B tests, performing statistical analysis and reporting results. 5. Develop predictive and descriptive models using Python or R to support business initiatives. 6. Collaborate with cross‑functional teams to translate business questions into analytical solutions. 7. Ensure data quality, accuracy, and security across pipelines and reporting layers. 8. Document methodology, findings, and recommendations in clear, concise reports for both technical and non‑technical stakeholders. 9. Participate in code reviews and contribute to the improvement of data engineering best practices. 10. Stay updated with emerging analytics tools and techniques, sharing knowledge within the team. Tech Stack: SQL, Advanced Excel, Python/R, Tableau/Power BI/Looker, Git, Cloud data warehouses (BigQuery, Snowflake, Redshift), ETL tools (dbt, Airflow), basic machine‑learning libraries (scikit‑learn, statsmodels). Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Manager within 2‑4 years, with access to formal training, certifications, and mentorship from senior data scientists. Why Join MHTECHIN? The company offers a competitive salary with performance bonuses, a hybrid work model, and exposure to diverse industry projects. Employees benefit from a structured learning roadmap, regular hackathons, and a supportive culture that values curiosity and impact. Joining MHTECHIN means being part of a next‑generation analytics team that directly influences strategic decisions and drives business growth.