Data Analyst – Off Campus Hiring

MH Techin; Pune District; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Flexible work culture

Access to mentorship and training

Job summary

A high-growth analytics organization in Pune is seeking Data Analysts for their Off-Campus Hiring 2025 drive. Ideal candidates are recent graduates with strong skills in SQL, analytical capabilities, and a background in relevant fields. This full-time role offers competitive salary, mentorship, and a chance to work in a dynamic environment. Interested candidates should apply through LinkedIn or the company careers page.

Qualifications

• Graduation Year: 2024 or 2025.
• Field of Study: Computer Science, Statistics, Mathematics, Data Science, or Economics.
• Strong knowledge of SQL and advanced Excel.
• Familiarity with Python or R for data analysis.

Responsibilities

• Collect, clean, and transform large data sets.
• Build and maintain dashboards and visualizations.
• Conduct exploratory data analysis and present insights.
• Design A/B tests and perform statistical analysis.

Skills

SQL

Advanced Excel

Analytical thinking

Problem-solving skills

Communication in English

Education

B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA Analytics or equivalent

Tools

Tableau

Power BI

Python

R

Job description

Job Title: Data Analyst – Off-Campus Hiring 2025

Location: Pune – Hybrid

Employment Type: Full-time | Batch: 2024 & 2025 Graduates

About the Opportunity

We are excited to announce our Off-Campus Hiring Drive for 2025! If you are a recent graduate or in your final year and passionate about uncovering insights from data, this is your chance to launch your career as a Data Analyst with a high-growth, innovation-driven organization.

You will join a collaborative analytics team that partners with product, marketing, finance, and operations to deliver data-driven solutions that directly impact business decisions.

Key Responsibilities

• Collect, clean, and transform large, complex data sets from multiple sources.
• Build and maintain dashboards and visualizations using Tableau / Power BI / Looker.
• Conduct exploratory data analysis (EDA), identify trends, and present actionable insights.
• Design and evaluate A/B tests, perform statistical analysis, and generate predictive reports.
• Collaborate with cross-functional teams to translate business questions into analytical models.
• Ensure data quality, accuracy, and security across pipelines and reporting layers.
• Document findings and communicate recommendations clearly to both technical and non-technical stakeholders.

Eligibility & Qualifications

• Graduation Year: 2024 or 2025 (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 discipline.
• Strong knowledge of SQL and advanced Excel.
• Familiarity with Python or R for data analysis.
• Understanding of statistics, probability, and hypothesis testing.
• Excellent analytical thinking and problem-solving skills.
• Strong written and verbal communication in English.

Preferred Skills

• Experience or academic projects with cloud data warehouses (BigQuery, Snowflake, Redshift).
• Knowledge of ETL concepts, data modelling, or tools like dbt/Airflow.
• Exposure to machine learning basics or product analytics platforms (Amplitude, Mixpanel).
• Internship or project experience in data analytics, BI, or related field.

Why Join Us

• Be part of a next-generation analytics team driving strategic decisions.
• Access to mentorship and training from senior data scientists and business leaders.
• Competitive salary with performance bonuses.
• Flexible work culture with opportunities to explore diverse projects across domains.
• Clear growth path toward Senior Analyst and Data Scientist roles.

Application Process

1. Online Application: Submit your resume and academic transcripts via the application link
2. Aptitude & SQL/Python Assessment.
3. Technical Interview – problem solving and case study discussion.
4. HR/Managerial Round – culture fit and career aspirations.

How to Apply

Apply now through LinkedIn or directly at the company careers page. For any queries, contact the recruitment team with the subject “Data Analyst – Off-Campus 2025”.