Manager, Marketing Analytics & Data Science

Key Skills

AWS, Data science techniques, Data Visualization, Database testing, Effective communication skills, Google Cloud Platform (GCP), Leadership Skill, Looker, Machine learning techniques, Microsoft Office suites, Powerpoint, Python Programming, Snowflake, SQL, Statistics

Job Description

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Position Purpose:

The Manager, Marketing Analytics and Data Science sits in the Enterprise Analytics & Data Science department and uses analytics and data science to drive CRM/Customer initiatives and improve owned channels (Direct Mail, Email etc.) performance

The manager will lead a team of analysts and partner with CRM, Email, Direct mail, SEO, Organic Social and membership teams. The manager reports to Director, Marketing Analytics.

Essential Job Functions:

• Provide leadership in CRM/Customer analytics.
• Build out data analytics capabilities to generate customer insights to build on customer journey optimization and lifecycle marketing
• Continue to improve CRM dashboards and develop new performance metrics to track customer file health, quantify the value of CRM initiatives and highlight trends in consumer behavior
• Partner with CRM Marketing team around optimization of direct mail, email, offers and other personalized marketing communications and provide consistent support through high-velocity test and learn
• Develop and implement behavioral and predictive models that drive owned channel performance
• Build partnerships with Membership, SEO and Organic Social teams and develop KPIs and dashboards to monitor the health of the programs
• Use social listening tools to identify the trend and build advanced models to improve engagement rate on social platforms
• Present findings to executive leadership by effectively translating complex data and methodologies into clear insights, opportunities, and achievable business actions.
• Partner with the MarTech and IT teams to improve CRM and audience data and stay current on the latest trends in data management and lead projects to continuously improve data quality, adopt best practices and streamline processes.
• Perform other related duties, tasks and responsibilities as required, assigned or directed.

Education/Experience:

• Bachelor's degree in Economics, Math, Computer Science or similar (Master’s degree is strongly preferred)
• 5+ years in marketing/customer analysis required with Bachelor’s degree or 3+ years of experience in in marketing/customer analysis plus Master’s degree in business analytics, Economics, math, computer science or similar
• 1+ year experience managing data analysts and/or data scientists with a proven track record of building high-performing analytics teams and developing analysts/data scientists.
• Expert in SQL; Proficient in Python / other statistical programming languages and technical environments
• Proficient in Looker or other data visualization tools
• Knowledge and expertise working with relational databases and large datasets. Experience with both Snowflake, AWS and GCP environments a plus
• Deep understanding of Machine Learning and Data Mining techniques Experience with retail industry and customer-level data strongly preferred
• Ability to think conceptually and creatively about problems and solutions
• Ability to synthesize and communicate complex analyses for a broad group of stakeholders
• Excellent communication, interpersonal, analytical and presentations skills are necessary due to the nature and level of interaction with peers and senior management Working knowledge of Microsoft Office, PowerPoint, database management, as well as project management and leadership skills is requiredThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Exact rate of pay will be based on position, location, and experience level.
• $163,100.00 - $244,600.00

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.