πWorldwide
Staff Data Analyst
closed
TextNow
πRemote - Canada, United States
Summary
Join TextNow as a Staff Data Analyst to fuel the company's growth by delivering analytics and insights that help build an awesome consumer app and communications platform. Collaborate with cross-functional teams, conduct analyses, execute upon experimentation roadmaps, and generate actionable insights.
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
- Experience in experimentation (A/B tests, geo tests etc.) and basic statistics (e.g hypothesis testing) required
Responsibilities
- Be a strong partner to cross-functional teams in understanding usersβ pain points using quantitative methods
- 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
Preferred Qualifications
- Knowledge of consumer app businesses and familiarity with concepts such as NPS is preferred
- Knowledge of commonly used analytic methods such as regression, decision trees and forecasting is highly preferred
Benefits
- Experience in and ability to play βtrusted advisorβ to senior and executive leadership and help make change happen
- 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
This job is filled or no longer available
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