Role Description We’re hiring a GTM Analytics Lead to act as a strategic lever across our go-to-market engine. This is a hands-on IC role focused on driving decisions, not just reporting. You’ll refine how we measure performance, uncover what’s actually driving revenue, and surface insights that directly impact how we allocate spend, scale channels, and operate GTM. You will sit at the intersection of Marketing, Sales, and Finance, turning real-time data into action and helping us grow fast while maintaining high-quality, sustainable revenue. Responsibilities - Drive GTM Performance Through Data - Own and refine how we measure performance across marketing, pipeline, and revenue - Turn data into clear recommendations on where to invest, what to cut, and how to scale - Act as a strategic partner to GTM leaders on channel strategy and performance - Ensure growth is not just fast, but efficient and sustainable (strong conversion, healthy CAC, durable revenue) - Channel Discovery & Optimization - Identify new acquisition channels and opportunities to drive incremental pipeline - Deeply analyze existing channels (paid, outbound, partnerships, organic) to improve efficiency and output - Separate signal from noise — understand what is actually driving pipeline and revenue vs what looks good on paper - Evaluate incrementality and ROI across all GTM spend to ensure scalable, repeatable growth - Marketing → Sales → Revenue Connectivity - Tie marketing activity directly to sales outcomes (conversion, velocity, ACV, win rates) - Identify friction points across the funnel and quantify impact - Build views that reflect real sales cycles (not artificial month-based reporting) - Highlight where growth is coming from high-quality vs. low-quality pipeline - Real-Time GTM Insights - Build and maintain reporting that gives teams real-time visibility into performance - Enable faster decision-making across Marketing, Sales, and Leadership - Move the org from lagging indicators → leading indicators - Surface early signals on pipeline quality, conversion risk, and revenue durability - GTM Data & Tooling Ownership - Work across the full GTM stack to ensure data is usable, connected, and actionable: - CRM: HubSpot / Salesforce - Sales tools: Nooks, Unify, Gong - Marketing tools + attribution systems - Data stack: Snowflake, dbt, BI tools (Omni, Looker, etc.) - Build and refine datasets that power GTM reporting (pipeline, attribution, channel performance) - Experimentation & Insight Generation - Partner with Growth and Marketing to analyze experiments and campaigns - Build frameworks to quickly evaluate what’s working and what’s not - Continuously surface insights that drive iteration and improvement - Ensure experiments lead to scalable wins, not one-off spikes Qualifications - 7–10+ years in analytics, growth analytics, or data roles - Experience owning or standing up GTM / growth analytics in a high-growth SaaS environment - Strong exposure to marketing + sales data and full-funnel analysis - Strong SQL and data modeling experience (non-negotiable) - Experience building datasets and working in modern data stacks (dbt, Snowflake, etc.) - Comfortable working across messy, imperfect data environments - Deep understanding of how SaaS GTM works end-to-end - Strong intuition around channels, pipeline generation, and revenue drivers - Ability to tie analysis directly to revenue quality, not just volume - You don’t just report — you push decisions - You focus on impact, not dashboards - You know how to prioritize what actually moves revenue - You care about building a durable growth engine, not short-term wins - Can translate complex data into simple, actionable insights - Comfortable working directly with execs and influencing GTM strategy Benefits - Embrace autonomy and accountability in a flexible work environment; we focus on outcomes and empower you to determine how to get the job done - Access our company-paid group benefits for you and your family, with $1,000 towards mental health support - Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year - Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows - Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee

Role Description The Senior Analytics Engineer is an integral member of the data analytics organization and is responsible for managing, optimizing, overseeing and monitoring the retrieval, storage and distribution of large data sets to enable data-driven business processes and deliver actionable business insights through dashboards, reports and other self-service visualizations tools. Manages complex projects, mentors junior engineers, and ensures that engineering principles are applied consistently within the team. - Develops, constructs, tests and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, meta data repositories and data warehouse designs in alignment with business requirements. - Optimizes data retrieval, develops data set processes, algorithms and identifies ways to improve data reliability, efficiency and quality. - Contributes to and maintains business glossary and other resources that foster cross-functional collaboration on analytical data resources. - Collaborates with business stakeholders to identify needs and opportunities for improved delivery, business processes and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data driven insights and decision support. - Provides technical guidance to the analytics function and projects, ensuring that new initiatives enable effective analytic information management; builds and tests proof of concepts to test and demonstrate business value. - Cross-trains, supports, and works closely with team members in the following roles: Data Scientist, Systems Analyst, Report Developer. - Other duties as assigned. Qualifications - Bachelor’s degree in computer science, applied mathematics, engineering or another IT-related field; or equivalent combination of education and/or relevant work experience; High school diploma from an accredited school or equivalent GED. - 5 years of experience in IT, to include 3 years data analytics engineering and experience in business intelligence, data warehousing, or analytics. - Must be eligible to work in the United States without the need for work visa or residency sponsorship. Requirements - Demonstrated ability to architect, develop and maintain cloud technologies. - Understanding of relational and dimensional modeling to facilitate data wrangling, code operationalization and exploration of data. - Ability to develop, maintain, review and translate data models. - Proficient in SQL, procedures, and ELT implementations and experience with Cloud databases. - Owns delivery of moderately complex analytics engineering solutions end-to-end, including design, development, testing, and deployment. - Mentors and develops junior analytics engineers, providing guidance on best practices, code quality, and solution design. - Ensures adherence to data engineering standards, testing practices, and performance optimization across work products. - Understanding of Pharmacy Benefit Management / Healthcare eco system. Preferred Qualifications - DBT certified or equivalent work experience. - Experience with development tools such as GitHub and Jira. - Experience working with end users to gather requirements and build technical solutions from concept to implementation. - Programming experience in computer languages such as Python and R. - Experience with cloud database platforms and associated tools such as GCP (Google Cloud Platform) and Big Query. - Experience building and maintaining data and analytics systems/products using common BI tools and Cloud products. Benefits Potential pay for this position ranges from $108,000.00 - $184,000.00 based on experience and skills. To review our Benefits, Incentives and Additional Compensation, visit our Benefits Page and click on the "Benefits at a glance" button for more detail. Company Description Prime Therapeutics LLC is proud to be an equal opportunity and affirmative action employer. We encourage diverse candidates to apply, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex (including pregnancy), national origin, disability, age, veteran status, or any other legally protected class under federal, state, or local law. We welcome people of different backgrounds, experiences, abilities, and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. Prime Therapeutics LLC is a Tobacco-Free Workplace employer. Positions will be posted for a minimum of five consecutive workdays.

• Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs. • Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks. • Develop and manage data pipeline supporting multiple reports, tools, and applications. • Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data. • Lead and engage in requirement planning, trainings, and presentations with technical and non-technical teams.

• Perform hands-on analysis, technical design, data modeling, development, testing, and deployment of Snowflake-based data solutions. • Own the end-to-end lifecycle of analytics data products, from raw ingestion through dbt transformation to semantic models consumed by AI agents and BI tools. • Design, build, and maintain dbt models, tests, and CI/CD pipelines for enterprise BI and analytics use cases. • Build and publish semantic models (Snowflake semantic views) that make enterprise data consumable by AI agents, BI tools, and business users, without requiring SQL. • Own Snowflake platform responsibilities including data architecture, query optimization, RBAC design, cost management, and warehouse administration. • Develop dashboards and analytics deliverables using modern visualization tools (Sigma, Power BI, Streamlit, or similar). • Partner with multiple cross-department business stakeholders and internal IT colleagues to translate business questions into data products, reports, dashboards, semantic models, or agent-queryable datasets. • Troubleshoot and ensure timely resolution of production data issues and platform defects. • Identify and apply creative and innovative approaches to resolving data modeling, integration, and delivery challenges. • Follow and support established processes for enhancements and change requests, as well as recommend and enforce coding standards. • Prepare and document technical designs and conduct code reviews and checkpoint meetings as needed. • Support and mentor junior team members through code reviews, pairing, and technical guidance. • Effectively communicate within the technical team and with business partners.