About the RoleAnalyze large data sets and marketing results to make data driven recommendations to optimize investments. Enable decision-making by leveraging analytical and database skills to develop analyses and maintain reports that exist across multiple sources including internal data warehouse, marketing mix modeling, web analytics, external marketing platforms, and other digital analytics tools. Partner with Reporting, Engineering teams, and External Vendors to develop new reporting and visualizations as needed. Collaborate with vendors and cross functional teams to enable process, documentation, and evolve measurement and reporting for marketing KPIs. Proactively identify marketing recommendations and insights across full funnel marketing channels and KPIs. Collaborate with cross-brand and cross-functional Marketing Shared Services team members to learn best practices to adopt in your role and identify opportunities to contribute to the larger team. Embrace the complexity in the customer journey from awareness through conversion. Must live within reasonable commuting distance from SF office and able to appear in office as required.

Salary Range: $133,952- $186,900
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.What You'll Do

1. SQL, Python, and Excel usage to analyze marketing effectiveness;

2. Hands on experience and usage of marketing platform Adobe Analytics;

3. Collaboration with external stakeholders including Meta, Google, 3rd party marketing agencies and collaboration with internal stakeholders; including Finance, Marketing;

4. Constructing and designing functional dashboards with Data visualization tools PowerBI and Tableau;

5. Knowledge of Marketing Mix Modeling inputs, outputs and ability to build functional regression models;

6. Experience with media optimization KPIs and diagnostics including: Return on ad spend (ROAS), CPM / CPC, reach / frequency, Cost / Acquisition, and Ecommerce metrics including Conversion, Average Unit Retail (AUR), and Average Order Size (AOS);

7. Ability to deliver data visualizations and marketing optimizations via PowerPoint decks and level up insights for leadership teams;

8. Understanding of incrementality vs last click attribution and customer lifeycycle metrics (CAC, retention rate, CLV, NPS); and

9. Ability to project manage media testing, reporting and ad hoc requests from start to finish via robust project plans and attention to detail.

Who You Are

Bachelor’s degree or foreign degree equivalent in Mathematics, Statistics, Data Science, Computer Science, or related field, and three (3) years of experience in the job offered or related role.