Sr. Analyst, Business Intelligence

Petco is a company dedicated to improving the lives of pets and their owners. They are seeking a Senior Analyst in Business Intelligence to lead the Data & Analytics strategy for personalization capabilities, revenue forecasting, and customer journey optimization.

Responsibilities:

• Own and drive revenue forecasting of the personalization program
• Develop and implement reporting, analysis and modeling for product features and enhancements, A/B test ideas & performance, and customer journeys
• Lead the team’s measurement strategy, including incremental lift, MMM, MTA and LTV
• Provide expert oversight and advice on A/B testing and optimization strategy
• Create effective data visualizations and strategies for presenting complex data to Senior Leadership
• Collaborate with cross-functional teams to find insights that enable informed and accurate business decisions
• Partner with engineering to implement and govern best practices to collect and structure data ensuring security and compliance
• Introduce and own best practices for setup and measurement of experiments
• Utilize instore, digital, marketing, loyalty and other data sources to discover trends, identify issues, recommend experiments and solutions
• Build and own ongoing health dashboards, reports and alerts
• Help dig deep into various customer segments to allow us to build the most relevant lifecycle journeys creatively utilizing the use of different data assets
• Use statistical techniques such as hypothesis testing, experimental design, clustering, and regression as needed for various analytics projects
• Work with vendors to perform POCs and move the analytics function ahead by researching new tools, techniques, and improving team capabilities
• Use Python to perform data wrangling and curation of datasets ready for analyses, modeling, reporting, and visualization

Requirements:

• Bachelor's degree in Computer Science, Data Management, Business Analytics, or related field
• 5-7 years owning metrics and performance of omni-channel customer experiences at a modern retailer, including digital marketing & media, personalization, retail media, programmatic and paid media
• 5+ years hands-on experience building and maintaining statistical models for incremental lift, MMM, MTA and LTV
• 5+ years defining and building randomized controlled tests (A/B, multivariate) in paid marketing and omni-channel customer experiences
• 5+ years leading data modeling and visualization using SQL, Python, Looker, and Tableau
• 5+ years building and managing modern data systems (CDP, CRM, AWS, GCP, Azure, Snowflake)
• Exceptional understanding of web and app tagging implementation for data capture
• Master's degree