Data Analyst Associate

MH Techin; Pune District; On-site; INR 350,000 - 600,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Mentorship and training

Job summary

A modern data analytics firm in Maharashtra is seeking a Data Analyst Associate. The role involves collecting and analyzing data to drive business decisions, collaborating with cross-functional teams, and ensuring data integrity. The ideal candidate has a Bachelor’s degree in a related field, strong skills in SQL and Excel, and is familiar with data visualization tools. This position offers a hybrid work environment and opportunities for professional growth.

Qualifications

• Bachelor’s degree in a related discipline required.
• Strong proficiency in SQL & Excel is essential.
• Experience with data visualization tools preferred.

Responsibilities

• Collect, clean, and validate large datasets from multiple sources.
• Perform exploratory data analysis to identify patterns.
• Build and maintain dashboards and reports.

Skills

SQL

Excel

Data visualization tools

Analytical skills

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Tableau

Power BI

Job description

Job Title: Data Analyst Associate
Location: Pune (Hybrid) / Remote (as applicable)
Employment Type: Full-time

About MHTECHIN

MHTECHIN is a forward-thinking organisation that leverages data and analytics to drive business growth, efficiency and innovation. You’ll be joining a collaborative analytics team interfacing with product, marketing, finance and operations.

Role Overview

As a Data Analyst Associate at MHTECHIN, you will collect, process and analyse data from multiple sources, build dashboards & visualisations, uncover trends and deliver actionable insights that support business decisions. You’ll work with cross-functional teams and ensure data quality and integrity.

Key Responsibilities

• Collect, clean, transform and validate large and complex datasets from diverse sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, correlations and anomalies.
• Build, maintain and update dashboards / reports / visualisations using tools like Tableau, Power BI, Looker or similar.
• Collaborate with stakeholders (product, marketing, operations, finance) to translate business questions into analytical models and actionable insights.
• Ensure data integrity, accuracy, and consistency across data pipelines and reporting layers.
• Document analysis methodologies, dashboards, workflows and communicate findings clearly to technical and non-technical stakeholders.
• (For fresher/off-campus roles) Assist in basic statistical analysis, A/B testing, and predictive/prescriptive modelling under guidance.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Data Science or a related discipline.
• Strong proficiency in SQL & Excel.
• Familiarity with data visualisation tools such as Power BI, Tableau or similar.
• Good analytical, statistical, problem-solving skills, attention to detail.
• Excellent written and verbal communication skills; able to present insights to non-technical stakeholders.

Preferred / Nice-to-Have

• Experience or academic projects in Python or R for data analysis.
• Familiarity with cloud data platforms (AWS, Google BigQuery, Azure).
• Understanding of basic machine learning concepts or product analytics tools (Amplitude, Mixpanel) for off-campus roles.
• Prior internship/project experience in data analytics, BI or a related field.

Why Join Us

• Work in an environment where analytics drives strategic decisions and growth.
• Mentorship, training, and clear growth path (Data Analyst → Senior Analyst → Data Scientist) for freshers.
• Hybrid/remote-friendly environment, collaborative team, modern tools.
• Competitive salary; performance bonuses and benefits.

Application Process

1. Submit your resume + academic transcripts.
2. Online assessment (aptitude, SQL/Python).
3. Technical interview (case study, problem-solving).
4. HR/managerial round (culture fit, career aspirations).