Marketing Analytics / Media Measurement & Experimentation Analyst

Location: San Francisco, CA (Hybrid) Duration: 3 months contract Job Description: We are seeking a highly analytical and experiment-driven Marketing Analytics / Media Measurement & Experimentation Analyst to support data-informed decision-making across our marketing organization. In this role, you will design, execute, and analyze experiments that measure the effectiveness of marketing strategies, media investments, and product initiatives. You will partner cross-functionally with Marketing, Data Science, Product, and Finance teams to guide decisions using rigorous statistical methods and clear, compelling insights. Responsibilities: Experimentation & Causal Inference Design and implement user-level A/B tests and geo-based experiments to measure the incremental impact of marketing and media activities. Define treatment/control structures, sampling strategies, success metrics, and statistical power calculations. Monitor test execution, ensure data integrity, and troubleshoot experiment setup issues. Conduct post-experiment analyses using causal inference techniques (e.g., DID, synthetic control, propensity scoring) to quantify lift and isolate marketing impact. Media & Marketing Measurement Analyze the performance and ROI of cross-channel marketing campaigns across digital, offline, and emerging media formats. Support development of measurement frameworks for brand, growth, and performance marketing programs. Collaborate with media partners and internal teams to validate and interpret campaign results. Analytics & Insights Explore and analyze large, complex datasets to identify drivers of performance and opportunities for optimization. Develop dashboards, reports, and visualizations to communicate findings to executive and cross-functional stakeholders. Build scalable analytical models and frameworks to automate measurement and insight generation. Cross-Functional Collaboration Partner with Marketing, Product, Engineering, and Data Science teams to align on experiment roadmaps, measurement standards, and KPI definitions. Translate technical findings into clear, actionable recommendations for non-technical audiences. Experience: Expertise in data analysis and experiment design — especially user-level A/B testing and geo-experiment design (this is the most critical requirement). Strong proficiency in SQL and at least one analytical/statistical language (Python, R). Experience working with large-scale datasets and modern data warehouse environments. Strong understanding of causal inference methods and statistical modeling techniques. Hands-on experience in marketing analytics, media measurement, or performance analysis. Ability to communicate complex analytical concepts clearly and concisely. Skills: Marketing Analytics Data analysis Geo-experiment design SQL A/B testing Education: Bachelor’s degree. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions 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, or status as a protected veteran.