Senior Analyst Advanced Analytics

Create a healthier, brighter future for pets, pet parents and people!

If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco is the place for you.

Our core values capture that spirit as we work to improve lives by doing what's right for pets, people and our planet.

• We love all pets like our own
• We're the future of the pet industry
• We're here to improve lives
• We drive outstanding results together
• We're welcome as we are

Petco is a category-defining health and wellness company focused on improving the lives of pets, pet parents and Petco partners. We are 29,000 strong and operate 1,500+ pet care centers in the U.S., Mexico and Puerto Rico, including 250+ Vetco Total Care hospitals, hundreds of preventive care clinics and eight distribution centers. We're focused on purpose-driven work, and strongly believe what's good for pets, people and our planet is good for Petco.

Essential Job Functions

The incumbent must be able to perform all of the following duties and responsibilities w ith or without a reasonable accommodation.

Leverage advanced analytical techniques and programming languages to mine through massive data sets and isolate patterns in customer purchase behavior, store performance, and competitive pricing schemes (regression analysis, predictive modeling, clustering, design of experiments or A / B testing, text mining, etc).

Influence strategic decisions and create accurate financial forecasts based on deep customer behavior analyses with tangible recommendations to optimize customer acquisition, retention, and lifetime value.

Utilize exceptional communication skills to present findings across the business by effectively translating complex data and analysis into clear insights, opportunities, and tangible business recommendations; regular updates to senior executives required.

Develop automated dashboards and build compelling data visualizations that effectively measure, track, and quantify changes in customer behavior and spend patterns.

Manage complex long-term projects from initial scoping through full execution and training with inputs from a variety of cross-functional teams (IT, Merchandising, Marketing).

Collaborate with data science team as an expert on the business by providing direction on how to best leverage advanced modeling techniques and machine learning algorithms to achieve strategic objectives and business goals.

Display deep intellectual curiosity, creativity, and commitment to learning in order to solve critical business problems and push the boundary of our capabilities.

Education / Experience

Bachelor's degree in economics, statistics, math or related business field; Master's preferred

Minimum of 4 years of work experience in analytics capacity

Experience building large data sets across disparate sources

Experience with SQL

Demonstrated ability to learn new analytic and data manipulation techniques

Experience with pricing, merchandising, marketing and the retail industry strongly preferred

Ability to think conceptually and creatively about problems and solutions

Strong interpersonal communication skills, verbal and written, required due to the nature and level of interaction with senior management

Demonstrated ability to prioritize workload and ability to manage multiple projects while meeting deadlines

Nice to have :

Python

Note : Current responsibilities are impacted by company and team priorities that may have evolved from what is displayed in the Workday job profile. The description provides general job duties and requirements, but the partner's manager may assign additional responsibilities or tasks depending on business needs.

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

Petco Animal Supplies, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other protected classification.

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