Ever turn a spreadsheet into a story, or spot a trend nobody else noticed? If you see insights where others see noise, this remote Statistical Analyst role is your playground. Here, your findings drive real-world change—turning questions into answers and numbers into action.
Why This Work Has Real Impact
Your Analysis Fuels Big Decisions
Your models, forecasts, and reports help leaders see what’s working, what needs fixing, and where the next opportunity lies.
From marketing to operations, every team moves smarter with your insights guiding the way.
⚡ Transform Data Into Clarity
Raw data becomes clear recommendations—because you know how to shape complex findings into strategies people can trust.
Whether it’s a dashboard or a quick Slack summary, you put numbers in context and make them easy to use.
Collaboration That Goes Beyond the Data
You partner with engineering, product, and business—turning stats into real outcomes for customers and teams.
Your remote toolkit (Notion, Zoom, Miro, Slack) means location never limits your contribution.
Where You’ll Move the Needle
How You Add Value:
Clean, wrangle, and analyze raw datasets to pull out what matters most.
Build statistical models, dashboards, and forecasts that help teams act with confidence.
Surface trends and risks so business leaders can pivot before problems grow.
Collaborate across teams, translating goals into metrics, then into actionable insights.
Use modern tools—Excel, Python, R, Notion, Miro—to organize, visualize, and share findings.
Present findings, explain recommendations, and stick around to see changes come to life.
What Remote Looks Like Here
Work Where You Focus Best
Set up your day for deep analysis, creative sprints, and collaborative huddles—wherever you’re most productive.
Our digital stack (Zoom, Notion, Slack, Miro) keeps you close to your team and the data.
You’ll have time to get things right and freedom to experiment with new approaches.
A Culture That Lifts You Up
Questions and new ideas are welcome—your perspective makes everyone smarter.
Learn from every project and help the team level up their data literacy.
Growth You’ll See and Feel
Your influence shows up in stronger decisions, clearer strategies, and wins everyone notices.
Each project is a chance to grow your skills and reputation.
Who’ll Love This Role
✔️ You Stand Out If:
Patterns jump out at you, and you’re quick to test what the data really means.
Explaining stats so anyone can “get it” comes naturally—whether it’s a one-pager or a Zoom call.
Building, optimizing, and automating models is just part of your toolkit.
You trust numbers but never forget the bigger picture—impact matters as much as accuracy.
You move comfortably across Excel, Python, Notion, and every tool in between.
You keep your cool as projects pivot and goals change—you help others stay focused too.
What You’ll Get
Annual Salary: $87,550
Honest, competitive pay—rewarding what you deliver, not just your hours.
A Remote Setup That Works
Work anywhere, with the tools you need to explore, model, and present your best work.
Recognition You Can Count On
Expect shoutouts and feedback that help you grow—plus credit for every win you help create.
Ready to Turn Data Into Real-World Results?
If you’re excited to put your skills to work where they’ll be noticed, this is the place. Let’s help teams make better decisions, together.
Global Applicants Welcome: Candidates from the United States, Canada, United Kingdom, European Union, Australia, India and other eligible regions worldwide are encouraged to apply.
Frequently Asked Questions
This role involves performing advanced statistical analyses such as regression, hypothesis testing, variance analysis, and developing predictive models to support decision-making and uncover trends.
This position requires proficiency with statistical software like R, Python, SAS, or SPSS and SQL for querying databases. Experience with data visualization tools like Tableau or Power BI is also beneficial.
This role involves working closely with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide statistical support for informed decision-making.
Daily tasks include data collection and preparation, conducting statistical analyses, developing forecasting models, creating data visualizations, and generating reports to communicate findings to stakeholders.
This position includes designing and conducting experiments, such as A/B tests, to evaluate business strategies. Based on the outcomes of these experiments, you'll provide data-driven recommendations.
