Analytics Manager

Join to apply for the Analytics Manager role at Fair Square
.

• Exempt, Base Salary Range: $130K-160K plus Bonus. Position eligible for additional incentives including Bonus, 401(k) match, health and welfare benefits, amazing culture, growth opportunity and more!!
• Hybrid
  
  Schedule:
  
  3-days onsite (M/T/W or M/T/TH)/2-days remote, Monday-Friday
• Location:
  
  San Diego, CA (La Jolla/UTC area)

Reports To:

Sr. Director of Analytics

Department:
Risk Management

Fair Square is seeking an Analytics Manager to drive data‑driven sales strategy and help optimize sales effectiveness and conversion outcomes for working capital products and also support analytics strategy for insurance products. The ideal candidate will have a blend of analytical rigor, business acumen, and data visualization expertise, with the ability to translate insights into strategic recommendations that drive measurable improvements in sales performance.

This role will work closely with Sales and Insurance Leadership and cross‑functional teams to develop, implement, and monitor strategies that enhance sales productivity, funnel efficiency, and customer conversion rates. The ideal candidate is a hands‑on problem solver who can move seamlessly between data analysis, business consulting, and executive communication.

• Partner with Sales Leadership to identify key drivers of sales performance and define metrics that measure effectiveness and conversion across channels and segments.
• Conduct deep‑dive analyses to uncover insights on sales funnel dynamics, rep performance, pricing and offer effectiveness, and customer conversion levers.
• Develop and maintain dashboards and reporting frameworks in Tableau or similar tools to track performance against KPIs.
• Translate data into actionable strategies that inform sales enablement, marketing alignment, and customer experience improvements.
• Support A/B testing and initiative tracking to assess impact and ROI.
• Collaborate with Data Engineering and BI teams to ensure scalable and accurate data infrastructure to support analytics needs.
• Deliver concise, impactful presentations and recommendations to senior stakeholders, including executives and sales leadership.
• Continuously evaluate and enhance existing reporting and analysis frameworks to improve efficiency and insight generation.

• Bachelor’s degree in a quantitative or business field (e.g., Statistics, Economics, Finance, Data Science, or Engineering).
• 5+ years of experience in analytics, strategy, or business intelligence roles — preferably within sales analytics, revenue operations, or related areas in financial services, fintech, or consulting.
• Demonstrated experience using SQL, Python/R, and BI tools (Tableau, Power BI, Domo, or similar) for data extraction, analysis, and visualization.
• Strong business and strategic thinking — able to move from data to insight to action.
• Excellent problem‑solving and quantitative reasoning skills with the ability to translate findings into business recommendations.
• Exceptional communication and presentation skills, particularly in conveying complex analyses to non‑technical audiences.
• Proven ability to manage multiple priorities and work effectively with cross‑functional partners.

• Experience in a sales‑driven or lending environment, with understanding of lead management, conversion funnels, and sales productivity metrics.
• Familiarity with CRM data (e.g., Salesforce) and marketing attribution concepts.
• Exposure to cloud‑based data platforms such as Snowflake, GCP, or AWS.
• Background in consulting or strategic analytics, especially in driving data‑backed go‑to‑market or performance improvement initiatives.

• Analytical Thinking:
  Ability to translate complex data into clear insights and recommendations.
• Business Acumen:
  Understands sales processes, growth levers, and strategic tradeoffs.
• Data Visualization:
  Designs compelling dashboards and visual stories that influence decisions.
• Collaboration:
  
  Works effectively across teams to align analytics with business goals.
• Communication:
  Clearly articulates data findings and recommendations to senior audiences.
• Execution &…