Requirements
We are seeking a Data Analyst to join our team in Ahmedabad. This is a full-time, on-site role where the candidate will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights that support business decision-making.
The ideal candidate will have hands-on experience with e-commerce data, strong analytical skills, and the ability to translate data into meaningful insights through reports and dashboards. This role requires close collaboration with cross-functional teams including marketing, operations, and leadership.
Key Responsibilities
Collect, clean, analyze, and interpret large datasets to support strategic business decisions.
Work extensively with e-commerce data including sales, customers, products, and marketing performance.
Design and maintain ETL (Extract, Transform & Load) processes to ensure reliable data flow across systems.
Develop data models and apply statistical techniques to identify trends and patterns.
Create and maintain interactive dashboards and reports using Power BI.
Perform advanced data analysis and automation using Excel (expert-level functions, pivot tables, dashboards).
Write optimized SQL queries to extract and analyze data from databases.
Implement AI-driven automation to improve data processing, reporting efficiency, and analytical workflows.
Ensure data accuracy, integrity, and consistency across reports and systems.
Present insights and findings in clear, concise, and accessible formats to stakeholders.
Mandatory Requirements
Minimum 1 year of relevant experience in the data analytics domain.
E-commerce background is mandatory.
Working knowledge of ETL (Extract, Transform & Load) processes.
Excel – Expert level.
Power BI – Intermediate level.
SQL – Intermediate to Expert level.
AI Automation – Intermediate to Expert level.
Qualifications & Skills
Strong skills in Data Analytics, Analytics, and Data Modeling.
Proficiency in Statistics and applying statistical methodologies to real-world problems.
Excellent communication skills to effectively present data insights to non-technical stakeholders.
Strong attention to detail and problem-solving abilities.xperience with data visualization tools and dash boarding.
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Familiarity with SQL, Python, R, or other data analysis tools is an advantage.
Prior experience in a data analytics or similar role is preferred.
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