MHTECHIN is hiring a Data Analyst Associate in Pune. This role is ideal for candidates passionate about data analytics, visualization, and business intelligence, looking to work in a hybrid or remote setting. As a Data Analyst Associate, you will collect, process, and analyse data from multiple sources, build dashboards, uncover trends, and deliver actionable insights to support business decisions. This is an excellent opportunity for freshers or early-career professionals to grow in a collaborative analytics team interfacing with product, marketing, finance, and operations teams.
About MHTECHIN
MHTECHIN is a forward-thinking organisation leveraging data and analytics to drive business growth, efficiency, and innovation. The company prides itself on creating a collaborative environment where analytics professionals work closely with multiple business functions. MHTECHIN empowers teams with actionable insights and fosters data-driven decision-making across all levels of the organisation.
Role Overview / Details
| Job Title | Data Analyst Associate |
|---|---|
| Company | MHTECHIN |
| Location | Pune (Hybrid) / Remote (as applicable) |
| Type | Full-Time |
| Experience | Fresher / Entry-Level |
| Education | Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Data Science, or related discipline |
| Reporting To | Analytics Team Lead / Manager |
| Skills Required | SQL, Excel, Power BI/Tableau, Data Cleaning, Data Analysis, Dashboarding, Reporting, EDA, Statistical Analysis |
| Preferred Skills | Python or R for data analysis, Cloud data platforms (AWS, Google BigQuery, Azure), Basic ML concepts, Product analytics tools (Amplitude, Mixpanel), Prior internship/project experience |
Key Responsibilities
- Collect, clean, transform, and validate large datasets from diverse sources to ensure data accuracy.
- Perform exploratory data analysis (EDA) to identify patterns, trends, correlations, and anomalies.
- Build, maintain, and update dashboards, reports, and visualisations using tools like Power BI, Tableau, or Looker.
- Collaborate with stakeholders across product, marketing, operations, and finance to translate business questions into actionable insights.
- Ensure data integrity, consistency, and accuracy across pipelines and reporting layers.
- Document analysis methodologies, dashboards, workflows, and clearly communicate findings to technical and non-technical stakeholders.
- For freshers, assist in basic statistical analysis, A/B testing, and predictive/prescriptive modeling under guidance.
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Required Skills
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Data Science, or related field.
- Strong proficiency in SQL and Excel.
- Familiarity with data visualisation tools such as Power BI, Tableau, or similar.
- Strong analytical, statistical, and problem-solving skills with attention to detail.
- Excellent written and verbal communication skills, with the ability to present insights to non-technical stakeholders.
Preferred / Nice-to-Have Skills
- Academic or professional experience in Python or R for data analysis.
- Familiarity with cloud data platforms such as AWS, Google BigQuery, or Azure.
- Understanding of basic machine learning concepts or product analytics tools like Amplitude or Mixpanel.
- Prior internship or project experience in data analytics, BI, or related fields.
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Expected Salary
For entry-level Data Analyst roles in Pune, the market-based annual salary typically ranges between ₹3,00,000 to ₹5,00,000, depending on technical skills, analytical proficiency, and prior internship experience.
How to Apply
Interested candidates can apply by submitting their resume and relevant project experience to MHTECHIN’s careers portal or the provided application link. Applicants should:
- Hold a Bachelor’s degree in a relevant field.
- Demonstrate strong SQL, Excel, and data visualization skills.
- Be ready to work in a hybrid or remote setting in Pune as applicable.
Joining MHTECHIN as a Data Analyst Associate provides hands-on exposure to analytics, BI, and data-driven decision-making, helping early-career professionals develop a strong foundation in data analysis, visualization, and business intelligence in a real-world setting.
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