Sr. Analyst, Business Intelligence

About the role

This role will report to the Director of Customer Experience and Personalization and will lead the Data & Analytics strategy for enablement and measurement of personalization capabilities, as well as LTV, MMM, incremental lift, and revenue forecasting. This critical role will cooperate with UX, Product, and Engineering in developing a comprehensive customer lifecycle vision and strategy that drives customer acquisition, retention, and loyalty across Petco’s businesses, reducing customer frustration and friction. This is an important role that will help lay the foundation for our enterprise customer strategy, partnering across the company with marketing, analytics, data science, merchandising, product, and engineering teams.

About Petco

We’re proud to be "where the pets go" to find everything they need to live their best lives for more than 60 years — from their favorite meals and toys, to trusted supplies and expert support from people who get it, because we live it. We believe in the universal truths of pet parenthood — the boundless boops, missing slippers, late night zoomies, and everything in between. And we’re here for it. Every tail wag, every vet visit, every step of the way. We are 29,000+ strong and together we nurture the pet-human bond in more than 1,500 Petco stores across the U.S., Mexico, and Puerto Rico, 250+ Vetco Total Care hospitals, hundreds of preventive care clinics, and eight distribution centers. In 1999, we founded Petco Love. Together, we support thousands of local animal welfare groups nationwide and have helped find homes for approximately 7 million animals through in-store adoption events.

The Customer Experience mission is to drive customer obsession across our teams and programs to deliver outstanding customer experiences, leading to engagement, loyalty, retention, and profitability. The Customer Journey & Personalization team specifically works to elevate and amplify optimized customer journeys, set enterprise personalization strategy, and enable powerful customer-led programs.

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 in-store, 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.
• Dig deep into various customer segments to allow us to build the most relevant lifecycle journeys creatively utilizing 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. Master's degree preferred.
• 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.

Pay

Salary Range: $85,800.00 - $141,900.00

Benefits

For a detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO, see Petco Benefits.