Are you a data storyteller who loves turning raw numbers into actionable business insights? We are seeking a analytical and detail-oriented Data Analyst to join our team. In this role, you will be the bridge between complex data and strategic execution, uncovering trends, building dashboards, and helping different departments make data-driven decisions.
If you thrive on identifying patterns, solving complex puzzles, and seeing your insights directly shape company growth, we would love to have you on board.
Key Responsibilities
- Data Analysis & Modeling: Interpret complex datasets, analyze trends, and perform exploratory data analysis to identify risks, efficiencies, and growth opportunities.
- Dashboard Development: Design, build, and maintain interactive automated dashboards and data visualizations to track key performance indicators (KPIs).
- Reporting & Communication: Prepare and present comprehensive weekly/monthly performance reports, translating technical findings into clear, actionable recommendations for leadership.
- Data Integrity & Maintenance: Clean, transform, and validate raw data from multiple sources to ensure accuracy, consistency, and absolute data integrity.
- Cross-Functional Collaboration: Coordinate with product, marketing, operations, and engineering teams to align data extraction strategies with daily business needs.
- Process Automation: Identify opportunities to optimize existing reporting workflows and automate manual data processes to scale analytics efficiency.
Required Skills and Qualifications
- Database Querying: Advanced proficiency in SQL for querying, joining, and manipulating large datasets across relational databases.
- Data Visualization: Strong experience with industry-standard BI tools, specifically Power BI, Tableau, or Looker.
- Statistical Analysis: Solid understanding of statistical concepts (regression analysis, hypothesis testing, data distributions) and tools like Python (Pandas/NumPy) or R.
- Spreadsheet Mastery: Advanced Microsoft Excel or Google Sheets skills (VLOOKUP/XLOOKUP, Index/Match, Pivot Tables, and macros).
- Analytical Thinking: Exceptional problem-solving skills with a proven ability to ask the right questions and spot anomalies in data.
- Communication: Strong verbal and written communication skills, with the ability to explain technical insights to non-technical stakeholders.
Preferred Qualifications
- Familiarity with cloud data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift.
- Basic understanding of predictive modeling, machine learning concepts, or statistical forecasting.
- Experience writing automation scripts using Python or Google Apps Script.
How to Apply
Ready to transform data into impact? Click Apply Now to submit your resume, along with a brief description of a data project or dashboard you are particularly proud of building.
Pay: ₹40,000.00 - ₹44,000.00 per month
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
