Are you passionate about leveraging data to drive impactful business decisions? Do you thrive in a dynamic, data-driven environment that values analytical rigor and innovative thinking? Are you excited by the prospect of working with massive volumes of data to uncover insights that could transform the customer experience?
We are seeking an experienced Business Intelligence Engineer as part of the International Emerging Stores (IES) Shopping Experience team, who is a self-driven, analytical problem-solver with a keen eye for data trends and a penchant for building effective measurement frameworks. Candidate should have a strong background in leveraging a combination of data mining and statistical techniques to extract actionable insights from complex datasets. They should be passionate about collaborating with cross-functional teams to solve challenging business problems, create operational efficiencies, and deliver high-quality solutions.
You are:
• Customer-obsessed: You possess sharp business acumen and are passionate about using data to drive customer success.
• Independent and comfortable with ambiguity: You can work independently on incomplete, unstructured requirements and make intelligent decisions based on data and business priorities.
• A leader: You can manage multiple projects and stakeholders simultaneously, guide the team's roadmap, mentor colleagues, and influence the direction of other teams.
• An innovator: You design best-in-class data pipelines and reporting solutions that are efficient, scalable, and extensible, with automated monitoring and alerts to reduce human intervention
Key job responsibilities
• Interface with global stakeholders, data engineers, and business analysts to gather requirements, analyze data, and draw informed conclusions
• Conduct end-to-end deep dives using exploratory data analysis to generate actionable insights
• Produce insightful recommendations and visualizations to support strategic decision-making
• Design, develop, and maintain scalable, reliable analytical tools and dashboards to drive key business decisions
• Demonstrate technical expertise in feature engineering, data exploration, and advanced analytics techniques
- 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)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis