Staff Data Analyst

closed
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TextNow

πŸ“Remote - 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 users’ 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 β€œtrusted advisor” 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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