Senior Product Analyst

Company Overview

Flock Freight is the largest Shared Truckload (STL) freight brokerage in the U.S., transforming underutilized truckload capacity into tangible value: cost savings for shippers, increased earnings for carriers, and a smaller carbon footprint. Their AI-powered, patented pooling technology optimizes across Flock’s entire customer network, combining shipments from thousands of businesses into efficient Shared Truckloads. With STL, shippers enjoy truckload-level service while only paying for the space they need.

Trusted by thousands of customers, from some of the largest enterprises to growing brands, Flock Freight delivers an unmatched combination of cost efficiency, exceptional service, and a streamlined shipping experience. Flock Freight has been a Certified B Corp since 2020, meeting high social, environmental, transparency, and accountability standards to all of our stakeholders.

Product Analytics & Data Science – Reporting directly to the Director of Product Analytics & Data Science.

Flock Freight is looking for a Senior Product Analyst to join our Product organization. In this role, you will own analytics for Flock’s Spot Pricing product, partnering closely with Product Managers, Engineering, and business stakeholders to solve complex business problems and influence product strategy through data. This is a highly consultative role for someone who enjoys translating ambiguous business questions into structured analyses, uncovering actionable insights, and driving measurable business impact.

You’ll work with a high degree of autonomy, proactively identifying analytical opportunities, improving pricing performance, and influencing product decisions rather than simply responding to predefined requests.

• Own analytics for Flock’s Spot Pricing product, partnering closely with Product Managers to evaluate pricing performance, analyze win rates, identify pricing opportunities, and influence product roadmap decisions through data‑driven recommendations.
• Translate ambiguous business questions into structured analyses that drive actionable recommendations and measurable business outcomes.
• Operate with a high degree of autonomy by proactively identifying analytical opportunities rather than waiting for predefined requests.
• Collaborate closely with Product, Engineering, Data Science, and business stakeholders throughout product planning and execution.
• Partner with Product Management to define, measure, report on, and visualize product KPIs and OKRs.
• Build and maintain dashboards, analytical models, and reporting tools that enable data-driven decision making.
• Perform approximately 5–10 high-impact analyses each month to prioritize product enhancements, validate hypotheses, measure feature impact, and identify new opportunities.
• Design and support experimentation efforts, including MVP validation, A/B testing, KPI development, and impact measurement.
• Present analytical findings and recommendations to Product Managers and business stakeholders in a clear, concise, and actionable manner.
• Create clear and informative visualizations from complex, multidimensional datasets, including geographic and event-based data.
• Write and optimize SQL queries and data pipelines that power reporting, analytics, and business insights.
• Execute data manipulation, visualization, and statistical analysis using Python or similar programming languages when appropriate.
• Participate in interviewing and evaluating prospective team members.
• Mentor and provide technical guidance to newer members of the analytics team.

• Analyzing pricing performance and shipment win rates.
• Evaluating customer behavior and pricing trends.
• Measuring the impact of pricing changes and new product features.
• Designing and evaluating A/B tests.
• Identifying opportunities to improve pricing strategy through data.
• Recommending product enhancements based on analytical findings.
• Building dashboards and visualizations that help Product teams monitor business performance.

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, Computer…