MHTECHIN Off Campus Drive 2026 – Data Analyst Jobs for Freshers
MHTECHIN is inviting applications for the Data Analyst role through its Off Campus Drive 2026. According to the supplied job listing, candidates graduating in 2025 or 2026 with qualifications such as B.E., B.Tech, B.Sc, M.Sc, M.E., M.Tech, or MBA Analytics may be eligible to apply.
The position is listed as a hybrid opportunity in Pune, Maharashtra, and is intended for freshers interested in data analysis, SQL, Excel, Python or R, statistics, and business intelligence. The official salary and exact application deadline have not been specified in the supplied details, so candidates should verify the live vacancy before applying.
Quick Job Snapshot
| Company | MHTECHIN |
|---|---|
| Role | Data Analyst |
| Qualification | B.E./B.Tech, B.Sc, M.Sc, M.E., M.Tech, MBA Analytics, or an equivalent relevant qualification |
| Experience | Freshers |
| Eligible Batch | 2025 and 2026 |
| Salary | Best in Industry, as stated in the listing; exact CTC not disclosed |
| Job Type | Off-campus recruitment; employment terms to be confirmed |
| Work Mode | Hybrid, according to the supplied listing |
| Location | Pune, Maharashtra, India |
| Last Date | ASAP; no specific closing date provided |
About the Opportunity
The MHTECHIN Data Analyst opening is presented as an entry-level opportunity for graduates who want to build careers in analytics and data-driven decision-making. The listed skills span data preparation, statistical analysis, dashboards, reporting, and communicating insights to business teams.
Note: The information in this article is based on the supplied third-party listing. Confirm the employer’s identity, current vacancy, work arrangement, and application instructions before sharing personal information.
Eligibility Criteria
- Graduation year: 2025 or 2026.
- Qualifications: B.E./B.Tech, B.Sc, M.Sc, M.E., M.Tech, MBA Analytics, or an equivalent relevant qualification.
- Relevant disciplines: Computer Science, Statistics, Mathematics, Data Science, Economics, or a related field.
- SQL and Excel: Strong SQL knowledge and advanced Excel skills.
- Programming: Familiarity with Python or R for data analysis.
- Statistics: Understanding of probability, statistics, and hypothesis testing.
- Analytical ability: Strong problem-solving and analytical thinking skills.
- Communication: Good written and verbal English communication skills.
Preferred Skills
- Academic projects or practical exposure to cloud data warehouses such as BigQuery, Snowflake, or Amazon Redshift.
- Understanding of ETL concepts, data modelling, dbt, or Airflow.
- Basic knowledge of machine learning or product analytics tools such as Amplitude and Mixpanel.
- Internship or project experience in data analytics, business intelligence, or a related area.
Key Responsibilities
- Collect, clean, and transform complex datasets from multiple sources.
- Build and maintain dashboards and visualizations using Tableau, Power BI, or Looker.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Present actionable insights to support business decisions.
- Design and evaluate A/B tests and perform statistical analysis.
- Prepare predictive reports and support analytical modelling.
- Work with cross-functional teams to translate business questions into analytical solutions.
- Maintain data quality, accuracy, and security across data pipelines and reporting layers.
- Document analytical findings and communicate recommendations to technical and non-technical stakeholders.
Salary Details
The supplied listing describes the salary as “Best in Industry” but does not provide a confirmed CTC or salary range. Candidates should not interpret this phrase as a guaranteed package. Confirm the salary structure, benefits, and employment terms with the employer during the recruitment process.
Selection Process
The third-party listing describes the following recruitment stages. The actual process may vary, so verify the steps in the current application instructions.
- Online application: Submit your resume and academic details through the specified application channel.
- Aptitude and technical assessment: Prepare for aptitude questions and SQL or Python exercises.
- Technical interview: Discuss analytical problem-solving, data interpretation, and case studies.
- HR or managerial round: Discuss communication, career goals, and suitability for the role.
Documents to Prepare
- Updated resume highlighting SQL, Excel, Python or R, and analytics projects.
- Academic transcripts and relevant degree certificates, when requested.
- Links to relevant dashboards, GitHub repositories, or portfolio projects, if available.
- Details of internships or academic projects related to data analysis.
Preparation Tips for the MHTECHIN Data Analyst Role
- Practise SQL: Revise joins, subqueries, aggregate functions, GROUP BY, window functions, and common data-cleaning tasks.
- Improve Excel skills: Learn PivotTables, lookup functions, charts, conditional formatting, and data validation.
- Learn Python or R: Practise loading datasets, cleaning missing values, analysing trends, and creating visualizations.
- Revise statistics: Understand probability, distributions, hypothesis testing, correlation, and A/B testing fundamentals.
- Build a dashboard: Create a small project using Power BI, Tableau, or another visualization tool.
- Prepare a portfolio: Choose a dataset, analyse it, document your findings, and explain the business recommendations.
- Practise communication: Explain your findings clearly without relying only on technical terminology.
Recommended Learning Resources
1. SQL Course and Notes
Practise SQL queries, joins, grouping, and database fundamentals that are important for entry-level data analyst roles.
2. Python Course and Notes
Strengthen Python programming fundamentals and prepare for data manipulation and analysis tasks.
3. Data Science Complete Course
Explore foundational data analysis and machine-learning concepts that complement a data analyst learning path.
Explore the Data Science Course
Interview Preparation
Prepare for Data Analyst Interviews
Focus on SQL queries, Excel exercises, basic Python or R, statistics, data interpretation, and explaining insights from a dataset. Prepare to describe one project from data collection through analysis and final recommendations.
Related Job Opportunities
How to Apply for MHTECHIN Off Campus Drive 2026
- Open the third-party job listing provided below.
- Use the application information on that page to locate the relevant MHTECHIN vacancy and verify the employer’s official application channel.
- Confirm that the 2025 or 2026 graduation batch and your qualification meet the current requirements.
- Prepare your resume and highlight SQL, Excel, Python or R, statistics, and analytics projects.
- Submit your application through the verified employer application page and follow any instructions provided.
View Job & Application Details
Important: The link above is a third-party job listing, not a verified direct employer application URL. Verify the live vacancy and application destination before submitting personal information. The deadline is described as ASAP, so check the listing for current availability.
Frequently Asked Questions (FAQs)
1. Who can apply for the MHTECHIN Data Analyst Off Campus Drive 2026?
According to the supplied listing, candidates graduating in 2025 or 2026 with B.E./B.Tech, B.Sc, M.Sc, M.E., M.Tech, MBA Analytics, or an equivalent relevant qualification may be eligible. Check the current application page for the exact accepted disciplines.
2. What skills are required for the Data Analyst role?
The main listed skills are SQL, advanced Excel, Python or R, statistics, probability, hypothesis testing, analytical thinking, and communication. Knowledge of dashboards and cloud data warehouses is an advantage.
3. What are the salary, location, and last date?
The job is listed as hybrid in Pune. The salary is described as “Best in Industry,” but no confirmed CTC is supplied. The deadline is listed as ASAP, with no specific closing date stated.
Ready to start your data analytics career? Review the eligibility criteria, prepare your SQL and analytics skills, and verify the live vacancy before applying. Keep visiting The Power Hunt for more off-campus drives, fresher jobs, and learning resources.
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