Product Data Analyst - Ads Platform

Additional Location: Glendale, CA Duration: 18 Months Contract Onsite 4x week Additional Information • Experience with experimentation (e.g., test design support, results interpretation). • Prior experience partnering with product and/or experimentation teams. • 3 Rounds of interviews Description/Comment: • At Client, data helps us understand how our products are used, how they perform, and how we can continue to improve them. We’re looking for a Product Data Analyst to join our Ad Platforms organization and support the development of data‑driven, best‑in‑class advertising products. • In this role, you’ll work closely with Product Managers, Design, and Technology teams to analyze product performance, support experimentation, and surface insights that help the broader Ad Platforms Product Management team make informed decisions. You’ll work with complex datasets, modern analytics tools, and complex advertising data to help translate questions into insights that improve our products and platforms. • This is a great opportunity for an analyst who is curious, detail‑oriented, and excited to grow their product analytics skillset in a highly collaborative environment. Basic Qualifications What We’re Looking For Product & Analytical Mindset • Interest or experience supporting product and design teams with analytics and insights. • Ability to break down questions into analytical tasks and explain findings clearly. • Eagerness to learn experimentation and product analytics best practices. • Advertising & Platform Interest • Familiarity with or interest in digital advertising concepts and metrics. • Experience analyzing advertising or platform data is a plus. Communication & Collaboration • Clear written and verbal communication skills. • Ability to explain analytical findings to technical and non-technical audiences. • Collaborative approach to working with Product, Design, Engineering, and Analytics partners. Ways of Working • Curious, detail oriented, and motivated to learn. • Interested in growing within product analytics, experimentation, and data storytelling. Preferred Qualifications Analytics & Technical Skills • Proficiency in SQL for querying and analyzing data from large datasets. • Experience using Python for data analysis and basic statistical modeling (e.g., pandas, NumPy, or similar libraries). • Familiarity with notebook-based workflows such as Jupyter or Databricks notebooks. • Experience building visualizations using BI tools (e.g., Tableau, Qlik, Power BI, Looker) or visualization libraries. • Basic understanding of data modeling concepts and how analytics data is structured. Preferred Qualifications (Nice-to-Haves) • Experience with experimentation (e.g., test design support, results interpretation). • Prior experience partnering with product and/or experimentation teams. Required Education BA/BS Degree Comp Sci/IS or related field What You’ll Do Support Product Analytics & Insight Generation • Partner with Product Managers, Designers and Engineers to understand product goals and measurement needs. • Analyze product and platform data to identify trends, patterns, and opportunities. • Help translate product and business questions into structured analyses that support decision making. Experimentation & Measurement • Support the analysis, and interpretation of product experiments, including A/B tests and feature rollouts. • Assist in defining success metrics, guardrails, and post launch measurement plans. • Apply statistical methods to help explain experiment results and observed changes in product performance. Storytelling & Visualization • Create clear summaries and visualizations that communicate findings to product and technology stakeholders. • Contribute to dashboards, reports, and analytics assets used in product readouts and reviews. • Help ensure insights are accurate, understandable, and actionable. Analytics & Modeling • Perform analyses such as cohort analysis, funnel analysis, segmentation, and trend analysis. • Model / encode data to support product analytics and experimentation insights. • Partner with data engineering and other analytics teams to understand data structures and definitions. Programmatic Advertising & Platform Analysis • Analyze data related to programmatic and direct advertising platforms, including delivery and performance metrics. • Support analyses that help product and design teams understand how platform changes impact users and workflows. • Learn and apply advertising domain knowledge to product analytics use cases. AI Assisted Analytics • Use AI enabled analytics tools to support exploration, documentation, and analysis under guidance from senior team members. • Follow best practices for data quality, governance, and responsible use of AI assisted tooling. 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, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Lavanya Cabral Email: lavanya.cabral@ustechsolutionsinc.com