Fresher Graduate

Quantum Learnings; Mumbai; Hybrid; INR 350,000 - 600,000; Full time

Job summary

Quantum Learnings is hiring an Associate Data Analyst in Mumbai to support analytics across Retail, Finance, Healthcare, and more. You will work with SQL data extraction, dashboard design, and basic statistical analysis to translate raw data into insights.

The role suits a recent graduate with 0–1 years of experience, learning on the job under senior mentors, and contributes to cross-sector projects while building a solid analytics foundation.

Qualifications

• Educational background as listed (Bachelor's or Master's in quantitative field).
• 0–1 years of experience; freshers welcome; internships/projects in data analysis preferred.
• Strong SQL knowledge for data extraction; experience with joins/subqueries/aggregations.
• Experience with BI dashboards and reporting tools like Power BI/Tableau; Excel is essential.

Responsibilities

• Write SQL queries to extract data from databases and assist in cleaning and structuring large datasets.
• Design, build, and maintain BI dashboards and reports using Power BI, Tableau or Excel.
• Perform basic exploratory data analysis to identify trends and anomalies under guidance.
• Work on diverse projects across sectors and learn industry-specific metrics.
• Maintain documentation of data dictionaries, metric definitions and workflows.
• Prepare data summaries and reports for non-technical stakeholders.

Skills

SQL

Excel (Advanced)

Python/R

Statistical analysis

Education

Bachelor's or Master's in Statistics, Mathematics, CS, Economics, Business Analytics or related field

Tools

Power BI

Tableau

Excel

Job description

About the Role

As an Associate Data Analyst, you will kickstart your career by working alongside experienced analytics professionals to solve real-world business problems. You will support a diverse portfolio of clients across multiple sectorsincluding Retail, Finance, Healthcare, Supply Chain, and Technology—by helping to translate raw data into actionable insights. This is an excellent opportunity for a recent graduate to gain hands‑on experience and build a strong foundation in the entire data analytics lifecycle.

Role & Responsibilities

• Data Extraction & Cleaning: Write SQL queries to extract data from various databases and assist in cleaning, formatting, and structuring large datasets for analysis.
• Dashboarding & Reporting: Help design, build, and maintain interactive business intelligence (BI) dashboards and daily/weekly reports using tools like Power BI, Tableau, or Excel.
• Exploratory Data Analysis: Perform basic statistical analysis to identify trends, patterns, and anomalies in client data under the guidance of senior analysts.
• Cross‑Sector Execution: Work on diverse projects across entirely different domains, learning industry‑specific metrics and operational models along the way.
• Documentation: Maintain clear and accurate documentation of data dictionaries, metric definitions, and project workflows.
• Client & Team Support: Assist in preparing presentations, data summaries, and reports that help communicate findings to non-technical client stakeholders.

Preferred Candidate Profile

Experience & Education

• Educational Background: Recent Bachelor's or Master's graduate (or in final year) in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Work Experience: 0–1 years of experience. Freshers are welcome. Prior internship or academic project experience involving data analysis is highly preferred.

Technical Skills

• Database Foundations: Solid academic understanding of SQL, including joins, subqueries, and aggregations.
• Data Visualization: Basic knowledge of BI platforms (like Tableau or Power BI) or advanced proficiency in Microsoft Excel (Pivot tables, complex formulas, charting).
• Programming Basics: Familiarity with Python or R for basic data manipulation and scripting is a strong plus.
• Analytical Concepts: A good grasp of fundamental statistics and data structuring concepts.

Business & Soft Skills

• Problem‑Solving: Strong analytical mindset with a high attention to detail and a logical approach to solving problems.
• Willingness to Learn: High learning agility with a strong desire to quickly grasp new tools, technologies, and business domains.
• Communication: Good verbal and written communication skills; able to explain technical concepts or academic project findings clearly.
• Team Player: Ability to work collaboratively in a fast‑paced, team‑oriented environment and take constructive feedback from senior mentors.