Senior Data Analyst, Customer Analytics

What You’ll Do:

• Be a strong partner to cross-functional teams by understanding new and existing Ads product offering and recommending the right metrics experiments to measure performance.
• Enable our advertisers to achieve business results, with insights measurement, such as those focused on customer and media.
• Provide cross-functional teams visibility into key business KPIs and metrics by developing and presenting reports and dashboards.
• Independently conduct analyses using rigorous analytic methods and build recommendations that drive decision making and business prioritization
• Execute upon experimentation roadmaps by implementing experiments and tests, monitoring results and presenting recommendations
• Generate and share actionable insights with Director+ level leadership via written artifacts such as decks and memos, and verbally in forums such as weekly standup meetings.

Who You Are:

• BA/BS in a quantitative discipline like Math, Computer Science, Economics or Analytics required. MS in Business Analytics highly preferred.
• 3+ years of hands-on experience in business and/or product analytics, working with large, multi-dimensional datasets, preferably at fast-growing tech companies.
• Exceptional communication skills, both verbal and written.
• Skilled in extracting and transforming data from Snowflake warehouse using SQL.
• Hands-on experience in designing, building, operating, and maintaining Tableau dashboards
• Knowledge of customer growth concepts such as CAC/LTV, retention curves, onboarding activation funnels is preferred.
• Experience working with tools like MMPs (eg Adjust, AppsFlyer), CRM tools like Braze, web analytics (Google Analytics), product analytics experimentation tools (Amplitude, Eppo, Mixpanel).
• Experience in experimentation (A/B tests, geo tests etc.) and basic statistics (e.g hypothesis testing) required. Knowledge of commonly used analytic methods such as regression, decision trees and forecasting is highly preferred.
• Experience in and ability to play “trusted advisor” to senior and executive leadership and help make change happen.
• Fast learner. Being a fast learner also means the ability to admit defeat, ask for help and iterate quickly so you can learn from your mistakes and move ahead.
• Respectfully candid with the ability to collaborate with multiple stakeholders as well as peers on the data team
• Resourceful and scrappy with the ability to deliver insights to the right teams in a timely manner.