Business Analyst - Data & Performance Analysis

Business Analyst | Home & Kitchen, OHL

Amazon.in OHL team is seeking a detail-oriented, analytical, and highly motivated Business Analyst who will support data-driven decision-making and help enhance customer experience across digital platforms. As a Business Analyst, you will work closely with cross-functional teams to analyze performance, identify insights, and contribute to optimizing business outcomes.

You will be responsible for tracking key metrics, preparing reports, and supporting execution teams with actionable insights. This role requires strong analytical thinking, attention to detail, and the ability to manage multiple tasks in a fast-paced environment.

Key job responsibilities
- Analyze business performance data across central programs and campaigns to identify trends, insights, and optimization opportunities
- Support end-to-end tracking of marketing initiatives and store performance metrics
- Prepare and maintain regular reports and dashboards for stakeholders, highlighting key KPIs and business drivers
- Work with multiple stakeholders to gather data inputs and ensure accurate reporting
- Provide clear, structured written and verbal updates on performance insights
- Support ad-hoc analysis and deep dives into campaign and traffic performance

Basic qualifications
- Bachelor's degree or equivalent - Speak, write, and read fluently in English - Experience handling multiple projects in parallel
Preferred qualifications
- Experience analyzing campaign performance metrics and key performance indicators (KPIs)
- Experience with data analysis and basic Excel skills
- Experience with Microsoft Office products and applications

Basic Qualifications

- 1+ years of data analytics or automation experience
- 1+ years of capacity planning, operations planning, business analysis or similar experience
- Bachelor's degree
- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- Experience with data mining tools like SQL, SAS, SPSS, or similar

Preferred Qualifications

- Experience in data analytics or automation

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Experience Level

Mid Level