Sr. Analyst, Advanced Analytics

About the Role

Conducts in-depth analysis of large-scale marketing datasets to generate data-driven recommendations that enhance media investment efficiency and campaign performance. Supports strategic decision-making by applying advanced analytical, statistical and database skills to develop, automate, and maintain analytic solutions across diverse data sources, including internal data warehouses, marketing mix models, web analytics platforms, external marketing tools, and digital measurement systems. Partners closely with Reporting and Engineering teams, as well as external vendors, to design and implement scalable frameworks and visualizations tailored to evolving business needs. Involved in cross-functional collaboration to build requirements, standardize processes, document methodologies, and refine measurement strategies for key marketing performance indicators. Proactively delivers insights across the full marketing funnel—from awareness to conversion—by interpreting complex customer journey data and identifying optimization opportunities. Drive adoption of best practices and contribute to enterprise-wide analytics initiatives through engagement with Marketing Shared Services teams across brands. Candidates must demonstrate hands-on proficiency with the following tools and skill sets. Familiarity alone is not sufficient—real-world usage and application are required. Must live within reasonable commuting distance from SF office and able to appear in office as required.

Salary Range: $164,403- $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, Excel, Powerpoint, LLM usage to extract, manipulate, model and analyze retail and media data to measure marketing effectiveness;

2. Hands on expertise with Adobe Analytics with experience navigating workspace, building segments, creating calculated metrics, and extracting insights on channels from traffic to conversion;

3. Ability in both PowerBI and Tableau to construct and design functional dashboards and visualizations; interpret for storytelling, trend analysis, and executive reporting;

4. Understanding of Marketing Mix Modeling inputs and outputs and ability to interpret results for marketing optimization, with experience building diminishing return and saturation curves;

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

6. Clear understanding of the roles of incrementality vs attribution vs experimentation for marketing effectiveness measurement;

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

8. Direct collaboration with external stakeholders including Meta, Google, 3rd party marketing agencies and proven partnership with internal stakeholders including Finance, Marketing;

9. Ability to develop, deliver and communicate findings and recommendations via data visualizations and PowerPoint presentation decks and level up insights for leadership teams; and

10. Consultative approach to identifying media investment opportunities and budget optimization strategies; ability to translate data-driven insights into actionable recommendations that maximize marketing impact and efficiency.

Who You Are

Master’s degree in Mathematics, Statistics, Data Science, Computer Science, or related field and 3 years of experience in the job offered or related role.