• Design, run, and analyse A/B tests and other experiments across the customer lifecycle; from acquisition and conversion through to retention and reactivation. • Build cohort, funnel, and retention analyses that uncover what's driving customer behaviour and where the biggest opportunities sit. • Lead deep-dive investigations into commercial performance, customer churn, fraud patterns, and product engagement. • Translate ambiguous business questions into structured analytical problems, and the answers into clear recommendations. • Present findings to senior stakeholders in a way that's clear, honest, and decision-ready; not just charts, but conclusions. • Build and maintain self-service dashboards and reports that give teams the data they need, when they need it. • Develop a deep understanding of customer acquisition, conversion, retention, commercial performance, and user experience metrics. • Work alongside the Product and Development teams to shape and deliver on the data roadmap. • Partner with Data Engineers on data quality, modelling, and pipeline reliability, also flagging gaps and helping define what "good" looks like. • Support Customer Success, Commercial, Marketing, and Compliance teams with ad hoc analysis and reporting. • Help create and enforce policies around data governance, quality, and responsible use. • Identify opportunities to improve how we collect, model, and surface data across the business. • Stay close to the customer journey and be curious about how people experience our product and what the data says about it. • Champion experimentation as a core part of how we make decisions.

• Develop and deploy advanced analytical models to improve our understanding of Network supply and demand, identify operational inefficiencies, and deliver actionable recommendations to leadership • Implement real-time dashboards and reporting to track and assess Network performance against established metrics • Challenge the status quo and propose and test new strategies for increasing competition and engagement within our service provider network • Analyze feedback, ratings, and reviews from multiple sources and stakeholders to gain insights into service quality and customer satisfaction • Develop operational and performance data to generate actionable insights and recommendations for 3rd party service providers • Analyze the capacity of our Network, identifying gaps and opportunities to improve operational efficiency and service quality • Lead test and pilots for process changes as a result of analysis and communicate the results to management • Serve as an internal data analytics expert by ensuring consistency in data analysis methodologies and sharing of best practices.

Role Description We are seeking a highly capable Data and Systems Analyst to support business operations and decision-making through high-quality data, clear requirements, and effective systems solutions. This role serves as a primary business and systems analysis resource, partnering closely with Finance and cross‑functional teams to translate business needs into scalable, well‑governed data and system solutions. The ideal candidate combines strong analytical and stakeholder leadership skills with hands‑on experience in reporting, analytics, and enterprise systems—particularly NetSuite ERP. What You'll Do - Business & Systems Analysis - Serve as the primary analyst for requirements elicitation, process analysis, and solution definition. - Analyze current-state processes and data flows; define future-state workflows, business rules, and requirements. - Translate business needs into clear functional specifications, acceptance criteria, and implementation guidance. - Maintain traceability between business objectives, requirements, and delivered solutions. - Data, Reporting & Technical Enablement - Develop and maintain reports, dashboards, queries, and analytics solutions as needed. - Investigate data issues, validate results, and support troubleshooting and production needs. - Partner with technical teams when solutions require broader development or engineering support. - Outcome Ownership & Stakeholder Partnership - Ensure delivered solutions achieve measurable business outcomes (e.g., efficiency, accuracy, risk reduction). - Define and validate KPIs and success metrics with stakeholders. - Balance competing priorities through structured analysis and clear communication. - Data Governance & Systems Management - Establish and enforce data governance standards to ensure data quality, consistency, and appropriate usage. - Manage and govern master data within NetSuite ERP. - Perform system administration tasks including user access, roles, and basic configuration. - Collaborate cross‑functionally to improve data processes and system performance. Qualifications - 3–5+ years of experience as a Data Analyst, Business Analyst, or Business Systems Analyst. - Strong experience in data analysis, reporting, and requirements documentation. - Solid understanding of data governance and data management concepts. - Experience with NetSuite ERP and CRM solutions preferred. - Experience with Snowflake (Data Warehouses), Sigma, or similar analytics tools. - Proficient in writing and optimizing SQL queries (JOINs, CTEs, window functions) for data extraction, transformation, and validation. - Strong analytical, communication, and stakeholder management skills. Benefits - Medical, Dental & Vision Insurance. - Voluntary Supplemental Insurance. - Generous PTO: 120 Hours your First Year! - Sick time. - 13 Holidays. - Company Paid Life Insurance & Short-Term Disability. - Company Paid Parental Leave. - 401K.

• Analyze integrated and extensive datasets to extract value, impacting business decisions • Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve clinical outcomes • Focus on enterprise provider analytics to measure and report the actual impact of contract and network changes against projected outcomes • Deliver standardized, structured reporting to track implementation accuracy and validate savings • Interpret and analyze data from multiple sources including claims, provider, member, and encounters data • Identify and assess the business impact of trends • Develop, maintain, and troubleshoot complex scripts and reports using SQL, Microsoft Excel, or other analytics tools • Contribute to planning and execution of large-scale projects with limited direction from leadership • Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation • Identify and perform root-cause analysis of data irregularities and present findings to leadership and/or customers • Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines • Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks • Communicate and present data-driven insights and recommendations to stakeholders