Are you a 2025 or 2026 graduate looking to start your career in Data Analytics? Here is an exciting opportunity to begin your professional journey as a Data Analyst at MHTECHIN.
MHTECHIN is conducting an Off-Campus Hiring Drive for Data Analysts, with the opportunity based in Pune under a hybrid work model. The position is designed for fresh graduates who have strong analytical thinking and a foundation in SQL, Excel, Python/R, statistics, and data visualization.
With a reported salary range of βΉ8β16 LPA CTC, this opportunity can be particularly attractive for graduates who want to build a long-term career in analytics, business intelligence, and data science. π»π
π MHTECHIN Data Analyst
πΉ Company: MHTECHIN
πΉ Role: Data Analyst
πΉ Experience: Freshers
πΉ Eligible Batches: 2025 & 2026
πΉ Qualification: B.E./B.Tech and related eligible disciplines
πΉ Location: Pune
πΉ Work Mode: Hybrid
πΉ Salary: βΉ8β16 LPA CTC
πΉ Employment: Full-time
π’ About MHTECHIN
MHTECHIN is a technology-focused organization with opportunities spanning software development, data science, analytics, and other technology areas. Its Data Analyst opportunity emphasizes using data to support business decisions across product, marketing, finance, and operations.
The role also offers exposure to modern analytics technologies, including BI platforms, Python/R, cloud data warehouses, ETL concepts, and product analytics. According to the company’s careers information, employees can also receive mentorship and training with a potential career progression from Data Analyst to Senior Analyst and eventually Data Scientist. π
π Why This Role Is Good for Freshers
One of the biggest advantages of this opening is that it isn’t limited to basic reporting.
Freshers can potentially work across the complete analytics lifecycle β data collection β cleaning β analysis β visualization β statistical evaluation β business recommendations.
The JD mentions exploratory data analysis, A/B testing, hypothesis testing, predictive reporting, dashboards, and collaboration with non-technical stakeholders. This gives candidates an opportunity to develop both technical analytics skills and business communication abilities.
The exposure to platforms such as BigQuery, Snowflake, Redshift, Power BI, Tableau, Looker, dbt and Airflow can also help candidates understand how modern data teams operate.
For a fresher targeting a future career as a Data Analyst, BI Analyst, Product Analyst or Data Scientist, this can be a strong starting point. π
π° Salary Range
The advertised compensation for this opportunity is βΉ8β16 LPA CTC.
The actual package offered to an individual candidate may depend on assessment performance, technical skills, academic background, interview performance, and the company’s final compensation structure.
Candidates should confirm the exact CTC, fixed/variable components, benefits, and any applicable conditions during the recruitment process.
π§βπ» Expected Interview Rounds
The recruitment process provided for this particular MHTECHIN Data Analyst opening consists of four stages:
1οΈβ£ Online Application
Candidates submit their resume and academic information through the company’s application process.
2οΈβ£ Aptitude + SQL/Python Assessment
This is likely to be one of the most important elimination stages. Expect questions around quantitative aptitude, logical reasoning, SQL queries, Python fundamentals, data manipulation, and analytical problem-solving.
3οΈβ£ Technical Interview
The technical discussion is expected to focus on data analysis, SQL, Python, statistics, problem-solving and case-study scenarios.
4οΈβ£ HR/Managerial Round
The final stage focuses on communication, culture fit, career goals, adaptability, and your motivation for choosing Data Analytics.
π₯ Preparation Tips
Don’t prepare only for SQL.
Start with SQL, particularly JOINs, GROUP BY, HAVING, CASE statements, subqueries, CTEs, window functions, aggregate functions and duplicate-data problems.
For Python, focus on Pandas, NumPy, data cleaning, filtering, grouping, missing-value handling and basic visualization.
Next, revise statistics and probability. Be comfortable explaining mean, median, variance, standard deviation, distributions, correlation, confidence intervals, hypothesis testing, p-values and A/B testing.
For dashboards, practice creating a small Power BI or Tableau project. Don’t just show charts β explain what business decision your dashboard supports.
A particularly useful preparation exercise is to take a messy public dataset, clean it with Python, analyze it using SQL, create a dashboard and prepare a five-minute explanation of your findings. This directly mirrors the end-to-end thinking expected from the JD. π
π οΈ Skills Required
Core Skills: SQL, Advanced Excel, Python/R, Statistics, Probability, Data Cleaning, EDA, Data Visualization.
BI & Analytics: Power BI, Tableau, Looker, Dashboard Development, KPI Analysis, Business Reporting.
Advanced Exposure: BigQuery, Snowflake, Redshift, ETL, Data Modelling, dbt, Airflow.
Bonus Skills: A/B Testing, Product Analytics, Amplitude, Mixpanel, Machine Learning Fundamentals, Predictive Analytics.
π Resume Tips for Freshers
Your resume should focus heavily on projects, because most candidates will have limited professional experience.
Create a dedicated Data Analytics Projects section and mention the tools used in every project.
Instead of writing:
β “Created a sales dashboard.”
Write:
β “Analyzed 50,000+ sales records using SQL and Python, identified regional revenue trends, and developed a Power BI dashboard to track revenue, profit and monthly KPIs.”
Use keywords from the JD naturally: SQL, Python, Excel, EDA, Power BI/Tableau, statistics, hypothesis testing, data visualization, data cleaning, ETL and analytics.
If you have completed an internship, Kaggle project, academic analytics project or certification, place it prominently.
π© How to Apply
π Application Link: Click Here
Eligible 2025 and 2026 graduates should apply through the official MHTECHIN careers process.
Before submitting your application, make sure your resume clearly demonstrates your SQL, Python, Excel, statistics and analytics projects.
β οΈ Important: Never pay anyone for an interview, registration, job offer, training, or selection. Always verify recruitment communication through official company channels.
If you’re a 2025/2026 graduate with a genuine interest in data, this MHTECHIN opportunity is worth considering β especially if you’re ready to demonstrate your skills through SQL, Python, statistics and real-world analytical projects. ππ
