MHTechin Off-Campus Hiring: Are you searching for the most current Data Analyst jobs for freshers across India? An exciting job for a Data Analyst off-campus hiring 2026 job opportunity is available for 2025 and 2026 students. Candidates with strong analytical abilities, SQL knowledge, and a desire to work in business intelligence may take advantage of this full-time hybrid position in Pune. This is a great opportunity for recent graduates who want to make a successful profession with data analytics and business intelligence. SQL, Python, and data visualisation.
You may be looking to find positions in the IT industry for new graduates, high-paying data analyst positions or other off-campus job opportunities in India. This hiring campaign will give you a solid foundation for your career, with education as well as mentorship and the potential for growth over time.
Job Overview
| Particulars | Details |
|---|---|
| Job Role | Data Analyst |
| Job Type | Full-Time |
| Work Mode | Hybrid |
| Job Location | Pune |
| Eligible Batch | 2025 & 2026 |
| Qualification | B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA Analytics or Equivalent |
| Experience | Freshers Eligible |
About the Data Analyst Off-Campus Hiring 2026
This hiring event off campus is targeted towards fresh graduates who are enthusiastic about transforming data into useful business-related insights. The candidates selected will work with a variety of business functions, analyse massive datasets, produce reports and aid in making strategic decisions using advanced analytics software.
Professionals who are interested in career opportunities in business analytics, data science jobs, SQL developer jobs, as well as IT jobs at an entry level in India will profit from this opportunity by getting hands-on experience with actual business problems as well as sophisticated analytical techniques.
Key Responsibilities
The candidates selected will be accountable for:
- Cleaning, collecting, and transforming large data sets from various sources of data.
- Creating dashboards and business reports with Tableau, Power BI or Looker.
- Performing Exploratory Data Analysis (EDA) to detect patterns and trends.
- Analysing statistical data and evaluating results from A/B testing.
- Preparing reports that are predictive to aid in business decision-making.
- In close collaboration with the product marketing, finance and operations teams.
- Upholding high standards of accuracy, quality of data and security.
- The presentation of analytical findings to technical and non-technical stakeholders.
- Recording reports, methodologies and recommendations in a clear manner.
Eligibility Criteria
Candidates must be able to meet the following criteria:
- Graduation Year: 2025 or 2026
- Qualification:
- B.E.
- B.Tech
- B.Sc
- M.Sc
- M.Tech
- MBA Analytics
- Equivalent Degree
- Academic background preferred:
- Computer Science
- Data Science
- Statistics
- Mathematics
- Economics
- Related disciplines
Graduates who are seeking graduate positions for graduate positions in India, campus opportunities for placement,t as well as careers in analytics are invited to apply only if they meet the criteria for eligibility.
Required Skills
Candidates should have:
- Strong SQL understanding
- Intermediate Microsoft Excel skills
- Python as well as R programming to analyse data
- Fundamentals of probability and statistics
- Concepts that are tested for hypotheses
- Analytical thinking and critical thinking
- Effective communication skills
- A strong approach to problem solving
These technical abilities are sought-after in the rapidly growing areas that include analytical data, business intelligence and the field of financial analysis. This makes this position the ideal starting point for career advancement over the long term.
Preferred Skills
Additional abilities that can help the application are:
- BigQuery
- Snowflake
- Amazon Redshift
- ETL concepts
- Data Modelling
- DBT
- Apache Airflow
- Machine Learning basics
- Amplitude
- Mixpanel
- Academic or internship projects that are in connection with analytics or business intelligence
The knowledge gained from these technologies will increase the opportunities for future developments with regard to the field of cloud-based data engineering, AI analytics and managing enterprise-level data.
Why Consider This Opportunity?
The benefits of these include:
- Experimentation with modern analytics projects.
- Experienced professionals sharing their knowledge.
- Performance-based incentives.
- Flexible and flexible hybrid work environment.
- Advancement in your career towards Senior Data Analyst and Data Scientist positions.
- Opportunities to work across a variety of areas of business.
People who are considering a career in IT positions, data science, and business intelligence are able to benefit from the experience gained in this job.
Selection Process
The process for gaining employment comprises:
- Online Application Submission
- Aptitude Assessment
- SQL & Python Assessment
- Technical Interview
- HR / Managerial Discussion
- Final Selection
Making sure you are prepared with SQL queries, Python basics, analytical reasoning, and problem-solving strategies will significantly enhance your performance in the interview.
Documents Required
Candidates should have the following documents in mind before applying:
- Updated Resume
- Academic Mark Sheets
- Government Photo ID
- Passport-size Photograph
- Educational Certificates
- The Certificate of Internship (if available)
How to Apply
Interested applicants may apply via the official portal for careers at a company or on the LinkedIn Application page. Be sure to keep the resume up-to-date with academic projects, technical expertise such as certificates, and work experience before submitting an application.
For questions related to applications, call the number for support in recruitment mentioned in the official notice.