Staff Data Analyst - Core Experience

September 22

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Social Communication • Mobile Products • Software Development • Technology • Freemium Wireless Company

51 - 200

Description

• Be a strong partner to cross-functional teams in understanding the extent and severity our users’ pain points, especially through quantitative methods & approaches. • 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.

Requirements

• BA/BS in a quantitative discipline like Math, Computer Science, Economics or Analytics required. • MS in Business Analytics highly preferred. • 8+ 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 consumer app businesses and familiarity with concepts such as NPS is preferred. • 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.