PeopleFinders.com, the premier online service for consumers to locate, contact and verify people and businesses. Over the past couple of decades the Company has quietly become one of the largest owners of public records data in the country, distributing its products over a vast network of websites.
Are you passionate about data and helping businesses make smarter decisions? We're looking for a Senior Business and Marketing Analyst to join our team and help us better understand our customers, evaluate what's working, and find new opportunities to grow. You'll collaborate closely with marketing, product, and engineering teams — and your work will have a direct impact on how we move the business forward.
We're in an exciting phase of growth — modernizing our data infrastructure and building out our analytics capabilities. You'll be joining at the right time to help shape how we work with data, contribute to a reporting environment that's still maturing, and leave a real mark on how the organization uses insights to make decisions.
Our core focus is D2C/B2C on PeopleFinders.com and across our network of high-traffic websites, with a growing B2B presence for multiple brands, adding an exciting new dimension to the work.
Salary$85K -$100K/year Key Responsibilities
- Design, develop, and maintain dashboards, reports, and data visualizations to support business decision-making
- Perform end-to-end campaign analysis — measuring and trouble-shooting performance, attribution, and ROI across marketing and product initiatives
- Analyze customer performance through segmentation, cohort analysis, lifetime value (LTV) tracking, churn analysis, and usage/engagement behavior to identify trends and growth opportunities
- Build and maintain predictive models for customer retention, LTV, and propensity to buy, leveraging behavioral and transactional data
- Hit the ground running in a maturing analytics environment — our core infrastructure is being modernized, and you'll play an active role in building out reporting, refining data models, and helping establish best practices in Domo as we migrate to the platform
- Partner with the data engineering team to coordinate on Domo and ETL pipelines, ensuring data accuracy, availability, and alignment with analytical requirements
- Translate business questions into analytical frameworks and communicate findings clearly to both technical and non-technical audiences
- Identify trends, anomalies, and opportunities within large datasets to inform strategic decisions
- Support data governance and documentation efforts to maintain data quality and integrity
- 5+ years of experience in a data analyst or similar role
- Strong proficiency in SQL (query optimization, complex joins, window functions, CTEs)
- Experience with R or Python for statistical analysis and predictive modeling
- Analyze paid acquisition performance across search, display, social, and affiliate channels connecting ad platform metrics (CPA, CTR, impression share, etc.) to downstream conversion events and unit economics
- Hands-on experience building data models and visualizations in Domo, Tableau, Power BI, and extensive experience with Domo is a plus!
- Experience with Snowflake (preferred) and/or AWS (Redshift, S3, Glue, etc.) for cloud-based data warehousing and processing
- Demonstrated experience with subscription/trial-based business models (trial conversion, churn, LTV) in a high volume in a high-volume, D2C/B2C SaaS Subscription environment
- Experience with performance marketing campaign analytics and channel performance (paid search, display, affiliates)
- Experience building retention models and/or propensity-to-buy models
- Experience building out forecast models
- Experience with QA of large datasets
- Solid background using Google Analytics 4 (GA4 360) and digital marketing analytics
- Strong communication and data storytelling skills
- Ability to work independently and manage multiple priorities in a fast-paced environment
- Experience using AI/ML tools to augment analysis workflows — prompt engineering, copilot-assisted coding, or LLM-based data exploration
- Experience in a B2B environment in addition to B2C
- Experience with Recurly or similar subscription billing/revenue platforms
- Experience with multi-touch attribution and flexibility between attribution models
- Experience with ad platform APIs and Data Connectors
- Experience working with large affiliate networks and partner-level performance data
Featured benefits
- 401(k)
- 401(k) match
- Dental insurance
- Vision insurance.
- Medical insurance
Why Join Us?
This is a high-visibility role where your work will directly influence business strategy. You'll have access to rich, diverse datasets, modern cloud infrastructure, and a team that values curiosity and analytical rigor. If you're looking for a place where data truly drives decisions — and where your insights will be seen, heard, and acted on — we'd love to hear from you.
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