# DATA ANALYST
## About the Role
We’re looking for a Data Analyst to help drive better business decisions through thoughtful analysis, clear metric definitions, and strong cross-functional partnership. You’ll work closely with Product, Engineering, Operations, and GTM teams to answer high-impact business questions, translate ambiguity into structured analysis, and uncover insights that shape strategy.
This is a business-impact-focused role that also contributes to clean analytical data models and reliable reporting. You’ll join a small, high-impact data team where ownership is real and your work will directly influence how the company grows.
## Key Responsibilities
Partner with Product, Engineering, Operations, and GTM teams to define KPIs, answer strategic questions, and support decision-making.
Build reporting and dashboards that drive action and business outcomes.
Present analytical findings and actionable insights to technical and non-technical stakeholders.
Perform exploratory data analysis to identify trends, risks, and growth opportunities.
Define and maintain core business metrics to ensure consistency and alignment across teams.
Support and improve dimensional data models, including fact tables and dimension tables, in the data warehouse.
Build and maintain reliable data transformations to support accurate and consistent analytics.
Improve data quality, documentation, and reporting standards.
Contribute to forecasting, experimentation analysis, and predictive or inference modeling initiatives.
Work proactively on projects and collaborate closely with Product and Engineering.
## Required Qualifications
2–4 years of relevant professional experience in analytics, including experience as a Data Analyst, Analytics Engineer, or similar role.
Strong SQL skills.
Experience working with a modern cloud data warehouse.
Experience performing exploratory analysis and communicating actionable insights.
Demonstrated experience working cross-functionally with business stakeholders.
Demonstrated ability to drive measurable business impact through data.
Experience building analytical data models, not only dashboards or ad hoc analysis.
Familiarity with dimensional modeling concepts, including fact tables, dimension tables, and star schemas.
Familiarity with version-controlled analytics workflows.
Strong written and verbal communication skills.
Proactive mindset and willingness to take on projects outside your comfort zone.
Familiarity with modern analytics tooling, including:
Data ingestion tools such as Fivetran, Airbyte, Stitch, or similar dbt, SQLMesh, Dataform, or similar transformation tools
Modern BI tools such as Tableau, Sigma, Looker, or similar
## Preferred Qualifications
Experience building predictive or inference models.
Experience building and maintaining data ingestion pipelines.
Experience implementing data quality testing and documentation practices.
Experience working with GTM teams to define and report on GTM metrics.
Exposure to event-based or product analytics data.
Experience using AI effectively in your workflow.
Experience with modern analytics tooling beyond the required SQL and data warehouse experience.
## Skills & Competencies
SQL and data analysis
Exploratory data analysis
Analytical data modeling
Dimensional modeling and data warehousing
KPI and metric definition
Business intelligence and dashboard development
Data transformations
Data quality and documentation
Forecasting and experimentation analysis
Predictive or inference modeling
Cross-functional collaboration
Stakeholder communication
Strategic problem-solving
Proactive ownership
Translating ambiguous business questions into structured analysis
## Education & Experience
Education
BS in Computer Science, Statistics, Data Science, Mathematics, Engineering, or a related quantitative field, or equivalent practical experience.
Experience
2–4 years of relevant professional experience in analytics.
Relevant experience may include Data Analyst, Analytics Engineer, or similar roles.
Experience working cross-functionally with Product, Engineering, Customer Success, or business stakeholders.
## Work Arrangement & Schedule
Work Arrangement: Fully Remote
Location: United States
Candidates must reside in the USA.
Level: Intermediate
Team: Engineering The company would like employees to fly in occasionally to get to know the team.
The source JD does not specify a required weekly hour schedule, weekend requirement, or specific schedule flexibility.
## Compensation & Benefits
Compensation: $90,000–$120,000
Health, dental, and vision insurance.
Insurance premiums are covered for employees and dependents if the employee chooses a high-deductible health plan (HDHP).
401(k), with no current company match.
Take-the-time-you-need PTO, described as approximately four weeks, with no formal tracking.
Fully remote work arrangement.
## Compliance / Additional Information The company is headquartered in SLC, Utah.
The company raised an $80M Series B funding round in February 2026.
This role is focused on business-impact analytics rather than dashboard-only reporting or pure data engineering infrastructure.
The role involves close collaboration with Product and Engineering and emphasizes proactive ownership.