Role Description We are seeking a Product Analyst III to serve as the state owner for 2–3 states, partnering closely with leadership to drive profitability and growth through pricing and non-pricing actions. You’ll analyze market and performance trends, execute strategic rate changes, manage regulatory filings, and collaborate cross-functionally (Sales, Actuarial, Marketing, IT, Testing) to ensure competitive product positioning and strong business results. - Serve as the state owner for 2–3 markets, managing profitability and growth targets. - Recommend pricing and underwriting actions based on deep analysis of trends and performance metrics. - Coordinate with Sales, Actuarial, Marketing, IT, and Testing teams to execute strategic rate changes. - Present quarterly state performance and strategy updates to executive leadership. - Identify and pursue premium and policy growth opportunities. - Partner with Sales to target high-potential segments and optimize product positioning. - Conduct competitive analysis and market research to inform product enhancements and strategic decisions. - Prepare and submit accurate regulatory filings; respond to objections and ensure timely approvals. - Support initiatives to automate processes, improve product performance, and solve business challenges. - Develop and maintain reports and dashboards using tools like Power BI. - Collaborate with different departments to implement innovative solutions. Qualifications - Bachelor’s degree in Economics, Actuarial Science, Math, Statistics, Insurance, or related field required. - 3+ years of experience in Product or Actuarial roles within the Property & Casualty insurance industry required. - Direct experience with rate filings and insurance product strategy required. - Strong understanding of insurance/pricing concepts, underwriting rules, business processes, and key financial metrics. - Advanced skills in Microsoft Excel and PowerPoint. - Proficiency in SQL, SAS, or Python is required. - Experience with Power BI or Tableau is a plus. Requirements - Strong analytical skills—able to work with large datasets and translate results into clear recommendations. - Deadline-driven with ability to manage competing priorities in a fast-paced environment. - Clear communicator with strong emotional intelligence and ability to influence cross-functional partners. - Comfortable presenting to senior leaders with concise, data-backed storytelling. - High ownership mindset and natural curiosity to dig deeper into “what else” is driving results. Benefits - Excellent benefits package: medical & dental, vision insurance, life insurance, short-term and long-term disability insurance. - Parental Leave Policy. - 401K + Company Match. - PTO Plan + Paid Company determined Holidays.

About Us Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living—getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That’s why we’re building a future in which healthy living is both easy and enjoyable. Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat. About the Role Hungryroot is seeking a Senior Product Analyst to join our growing Product Analytics team and help shape product strategy through data. This role partners closely with Product Managers and cross-functional stakeholders to uncover insights from product, user, and business data, turning those insights into clear recommendations that influence roadmap decisions, which will contribute to Hungryroot's goals! The ideal candidate is deeply analytical, customer-centric, and thrives in ambiguous environments. They bring strong technical expertise alongside the ability to communicate insights clearly to senior stakeholders, playing a key role in improving the end-to-end customer experience and driving meaningful business impact. This is a high visibility role with room for career growth! Responsibilities - Analyze complex product and user behavior data to identify key metrics, trends, and customer pain points - Partner with Product to frame problems, define success metrics, and identify data-backed solutions - Quantify the impact and ROI of opportunities to support prioritization and roadmap decisions - Design and analyze experiments (A/B tests), including defining hypotheses, success metrics, and measurement plans - Build and maintain dashboards and reports that provide visibility into product performance and customer experience - Enable self-service analytics by developing trusted data models and documentation in Looker and Google Analytics - Deliver ad-hoc analyses and insights to support product, growth, and operational decisions - Communicate insights clearly through visualizations, narratives, and presentations tailored to senior stakeholders Qualifications - 4-5 years of experience in Product Analytics, ideally within consumer or subscription-based businesses - Expert-level SQL skills and strong data modeling intuition - Extensive experience with Looker / LookML or similar BI tools - Hands-on experience analyzing user behavior using product analytics tools (Heap, Google Analytics, Amplitude, etc), including defining and validating event tracking - Strong foundation in experimental design and measurement best practices - Excellent data storytelling and communication skills - Highly organized, detail-oriented, and able to manage multiple workstreams - Comfortable operating in a fast-moving, evolving environment - Excited to help shape and scale a growing Product Analytics team Perks & Benefits - Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide! - Equity - Unlimited vacation policy - Universal paid parental leave - Monthly Hungryroot credit for delicious, healthy groceries - Comprehensive health, vision, dental, and life insurance - Wellbeing benefits - 401k with match - A work from home stipend to support your initial home-office setup Expected Pay Range: $140,000-$165,000 #LI-REMOTE The employer will not sponsor applicants for work visas. Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class.

• Become an expert in multimodal data and deliver insights and analyses on this data to customers. • Support end-to-end analytical product development in Amazon QuickSight, Snowflake, and Plotly Dash. • Collaborate with stakeholders, domain experts, Product, and Data Engineering to understand needs and deliver analytical products. • Define best practices, processes, and methodologies for analytics. • Design and document analytical models that power dashboards and self-serve analysis.

• Partner with Product and Engineering teams to research, evaluate, and develop new data-driven products and feature enhancements, conducting deep analyses on complex spend, pricing, and performance datasets to identify patterns, assess data viability, and inform design decisions from concept through production. • Contribute to go-to-market release execution by validating data in production environments, coordinating QA and feature testing, preparing product collateral, and delivering internal demos to align stakeholders on new functionality — all to drive successful adoption and launch readiness. • Support release management by validating production data, investigating anomalies, providing analytical context for product and customer teams, and coordinating release communications to facilitate transparency and smooth deployment across teams. • Design and implement automated data validation and quality frameworks for digital products — defining thresholds, conditional formatting, and anomaly detection logic to proactively flag and resolve data issues, streamline QA processes, and ensure accuracy and reliability across releases. • Lead critical business-as-usual operations for monthly data releases, ensuring quality, reliability, and on-time delivery for customers by driving validation efforts, coordinating stakeholders, and resolving issues efficiently to support client retention and confidence. • Champion best practices in data governance, validation, and experimentation, establishing standards and documentation that enhance data quality, reliability, and analytical rigor across teams. • Play an active role in PI Planning, shaping backlog priorities, validating scope and acceptance criteria, and ensuring coordination across Product and Engineering teams to set realistic and value-driven delivery goals. • Leverage AI-powered analytical tools and LLM-based workflows to accelerate data validation, insight generation, and documentation. • Partner with engineering teams to integrate machine-learning–based anomaly detection and data quality checks into the product pipeline. • Identify product opportunities where AI or predictive modeling can enhance user experience, improve accuracy, or surface actionable insights. • Evaluate dataset readiness for AI/ML use cases, ensuring structures, definitions, and data governance support high-quality model performance.