We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects and that's because we're made up of people with curious minds who bring an optimistic, yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started.
Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere.
TextNow is looking for a motivated Senior Data Analyst to join our Analytics & Insights team. You’ll drive data-informed decision-making across the organization by translating business problems into analytical solutions, designing insightful dashboards, and uncovering trends that shape strategic actions.
This role is perfect for someone with strong analytical skills, deep business acumen, and a passion for using data to tell stories that inspire action.
What You’ll Do
Analyze complex datasets to identify actionable insights, trends, and opportunities
Develop and maintain dashboards, reports, and data visualizations using tools like Looker, Tableau, Power BI, or Redash
Conduct ad hoc analyses to support product, marketing, and operations initiatives
Partner with data engineering teams to ensure data quality, integrity, and availability
Develop and maintain KPI frameworks and performance measurement systems
Assist in building scalable data models and automation pipelines
Collaborate cross-functionally with Product, Finance, Marketing, and Operations teams to define analytical needs
Translate business questions into data requirements and present insights and recommendations to senior leadership
Mentor junior analysts and foster a culture of data-driven decision-making
Define and standardize analytical best practices across the organization
You’ll Be a Great Fit If You Have
Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field (Master’s preferred)
5+ years of experience in data analytics or business intelligence
Proficiency in SQL and at least one programming language (e.g., Python or R)
Experience with modern BI tools (Looker, Tableau, Power BI, Mode, or Redash)
Strong understanding of A/B testing, statistical analysis, and data modeling
Experience working with large-scale datasets and cloud-based environments (e.g., Snowflake, Eppo)
Excellent communication and storytelling skills with data
Attention to detail, analytical rigor, and curiosity for continuous improvement
Preferred Skills
Experience in telecommunications, SaaS, or consumer app environments
Familiarity with machine learning concepts and predictive analytics
Understanding of ETL processes and data warehousing fundamentals
Experience collaborating with product teams on experimentation and growth analytics
Estimated Base Salary Range by Location:
Canada (CAD): $103,700 – $140,300
US – National (USD): $114,800 – $155,300
Final compensation will be determined based on a number of factors, including skills, experience, location, and on-the-job performance. We’re committed to paying competitively to hire and retain high-caliber talent. We recognize that exceptional talent may fall outside of these ranges; we encourage all qualified candidates to apply even if their compensation expectations are outside of the listed range.