Senior Data Analyst

Summary

Join TextNow as a Senior Data Analyst and contribute to our growth by working with cross-functional teams to drive customer acquisition and retention. You will deliver actionable insights to optimize our business, developing reports and dashboards, conducting analyses, and presenting findings to leadership. This role requires strong analytical skills, experience with large datasets, and excellent communication. The position offers a strong work-life blend, flexible work arrangements, employee stock options, unlimited vacation, competitive pay and benefits, parental leave, and wellness programs. The ideal candidate will possess a BA/BS in a quantitative field and 3+ years of relevant experience.

Requirements

• BA/BS in a quantitative discipline like Math, Computer Science, Economics or Analytics
• 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
• Experience in experimentation (A/B tests, geo tests etc.) and basic statistics (e.g hypothesis testing)

Responsibilities

• 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

Preferred Qualifications

• MS in Business Analytics
• Knowledge of customer growth concepts such as CAC/LTV, retention curves, onboarding & activation funnels
• Experience working with tools like MMPs (eg Adjust, AppsFlyer), CRM tools like Braze, web analytics (Google Analytics), product analytics & experimentation tools (Amplitude, Eppo, Mixpanel)
• Knowledge of commonly used analytic methods such as regression, decision trees and forecasting
• 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

Benefits

• Strong work life blend
• Flexible work arrangements (wfh, remote, or access to one of our office spaces)
• Employee Stock Options
• Unlimited vacation
• Competitive pay and benefits
• Parental leave
• Benefits for both physical and mental well being (wellness credit and L&D credit)
• We travel a few times a year for various team events, company wide off-sites, and more