Senior Business Intelligence Engineer - HYBRID

About the Role

Key Responsibilities

• Formulate and test hypotheses by designing experiments to solve complex business problems and quantify their impact. Monitor and assess experiment outcomes to inform future strategies.
• Conduct in-depth analyses to uncover trends and apply advanced statistical methods to provide actionable insights. Expand descriptive, prescriptive, and predictive analysis for experiments.
• Create and deliver visualizations and storytelling tailored to various audiences, effectively communicating complex data and trends.
• Use machine learning and AI to streamline data querying and analysis. Apply ML techniques for experiment design and results analysis. Develop scalable systems to detect recurring patterns in experiments.
• Serve as a subject matter expert in predictive and prescriptive analytics, developing best practices and driving the analytics strategy.
• Keep abreast of industry trends and best practices in experimentation and personalization.
• Collaborate closely with business stakeholders, program management, product management, and engineering to enable scalable end-to-end data and insights solutions.
• Support other data-driven initiatives to deliver the Enterprise Operations' vision as needed.

Requirements

• Bachelor's Degree in Information Technology, Computer Science, Data Science or related experience.
• 5+ years of related work experience extracting, manipulating, and analyzing data to deliver business insights, including building measurement methodology and advanced testing solutions.
• Extensive experience with predictive and machine learning modeling algorithms, including A/B testing, causal modeling, and survey design/analysis.
• Expert in SQL with demonstrated ability to write repeatable and robust code, applying advanced database concepts of optimization and design, and acquiring data from multiple sources efficiently.
• Expert knowledge of at least one programming language to aid analysis, modeling, and automation, with the ability to choose the right tool for the context and assess trade-offs.
• Ability to creatively and effectively apply descriptive and inferential statistical methods to answer complex business questions and conduct analyses with analytical storytelling and recommendations.
• Experience using visualizations to summarize large amounts of data and highlight key insights for stakeholders, combining statistical knowledge with graphical design.
• Experience related to the retail industry.

Nice to Have

• Experience with industry trends in experimentation and personalization.

Qualifications

• Educational background in relevant fields such as Information Technology, Computer Science, or Data Science.

Benefits & Perks

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• Potential performance-based incentives/bonuses
• Benefits including 401k, PTO, holidays, and more