BIE , IES Shopping

Amazon Inc.; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Amazon India seeks a seasoned Business Intelligence Engineer to convert large-scale data into actionable insights and guide decision-making across product and marketing teams.

You will build dashboards, perform end-to-end data analyses using SQL/ETL, and apply statistical methods and ML concepts to segment and predict shopper behavior, driving measurable improvements in the customer experience.

Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience with one or more analytics visualization tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (t-test, Chi-squared).
• Experience with scripting language (Python, Java, or R).

Responsibilities

• Conduct end to end deep dives using exploratory data and statistical analysis to create actionable insights
• Understanding of stats and ML
• Interface with cross functional stakeholders to gather data and metrics requirements.
• Developing interactive and flexible visualization dashboards, reporting across products, to drive adoption and increase visibility into key measures of business performance.
• Data modeling, Data extraction through ETL and SQL

Skills

2+ years data analysis experience

Statistical methods

Scripting languages (Python/Java/R)

Cross-functional collaboration

Education

Master's degree or advanced technical degree

Tools

Tableau

QuickSight

Excel

PowerBI

MicroStrategy

Job description

Are you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Are you passionate about leveraging data to deliver actionable insights that could impact daily business decisions at Amazon India? Does the prospect of dealing with massive volumes of data excite you? Do you love using data to answer challenging product and customer behavior questions?

We are looking for an experienced Business Intelligence Engineer who is self-driven, analytical and has a strong inclination towards identifying right data tends, highlight gaps in existing data and build effective measurement frameworks to improve experience of our shoppers. Candidate should be able to use a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. He/She will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. This position represents an exciting opportunity to be a part of a dynamic and high paced environment.

Key job responsibilities

• Conduct end to end deep dives using exploratory data and statistical analysis to create actionable insights
• Understanding of stats and ML
• Interface with cross functional stakeholders to gather data and metrics requirements.
• Developing interactive and flexible visualization dashboards, reporting across products, to drive adoption and increase visibility into key measures of business performance.
• Data modeling, Data extraction through ETL and SQL

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.