Data

Data Analyst

Remote (US)Full-time$100,000 - $130,000

About This Role

Analyze lead performance data and provide insights to improve conversion rates.

Analyze lead delivery, conversion, and retention data to identify trends and opportunities
Build and maintain dashboards for internal teams and partner-facing reporting
Conduct A/B test analysis and provide statistical rigor to product experiments
Develop lead scoring models and quality prediction frameworks
Collaborate with engineering to improve data infrastructure and pipelines
Present findings and recommendations to leadership

2+ years of data analysis experience
Strong SQL skills and experience with data visualization tools (Tableau, Looker, or similar)
Proficiency in Python or R for statistical analysis
Understanding of statistical concepts (hypothesis testing, regression, segmentation)
Strong communication skills with the ability to translate data into business insights

Send us your resume and a brief introduction. We review every application and will get back to you within 5 business days.

Competitive Compensation
Market-rate salaries, equity options, and performance bonuses.
Remote-First Culture
Work from anywhere. We believe great work happens where you are.
Health & Wellness
Comprehensive medical, dental, and vision coverage for you and your family.
Learning & Growth
Annual learning budget, conference attendance, and career development.
Unlimited PTO
Take the time you need to recharge. We trust you to manage your schedule.
401(k) Match
We match 4% of your salary to help you build for the future.

Start Today

Don't see the perfect role? Send us your resume and we'll keep you in mind for future openings.

No contracts

Pay per lead

Instant delivery

Responsibilities

Analyze lead delivery, conversion, and retention data to identify trends and opportunities

Build and maintain dashboards for internal teams and partner-facing reporting

Conduct A/B test analysis and provide statistical rigor to product experiments

Develop lead scoring models and quality prediction frameworks

Collaborate with engineering to improve data infrastructure and pipelines

Present findings and recommendations to leadership

Requirements

2+ years of data analysis experience

Strong SQL skills and experience with data visualization tools (Tableau, Looker, or similar)

Proficiency in Python or R for statistical analysis

Understanding of statistical concepts (hypothesis testing, regression, segmentation)

Strong communication skills with the ability to translate data into business insights