Role Description The Sales Data Analyst will play a key role in optimizing our sales and customer success operations by managing data, reporting, and CRM processes. This individual will support customer segmentation, sales team alignment, performance measurement, and reporting for both internal teams and external partners. This is a data-driven role requiring someone with strong analytical skills, CRM experience (Zoho and Microsoft Dynamics strongly preferred), and the ability to contribute to process improvements. While this role is primarily back-end, presentation skills are important for supporting QBRs and partner alignment discussions. Key Responsibilities - Support customer segmentation and book-of-business management for sales and CS teams. - Partner with strategic partners and sales teams to align customer data, track sales/CS performance, and optimize partner engagement. - Manage and maintain CRM data integrity, assisting with development and optimization as needed. - Generate reports for QBRs, including sales funnels, Clarus portal KPIs, forecasting, and performance analytics. - Track and analyze rep activity, sales pipeline metrics, and partner team performance. - Provide insights on CRM utilization and automation opportunities for improved efficiency. - Collaborate with leadership to identify gaps in sales enablement and customer success processes. - Support strategic decision-making through data analysis and performance tracking. Qualifications - Bachelor’s Degree in appropriate field of study or equivalent work experience. - 3+ years experience in sales/business analyst roles, particularly in insurance, veterinary, or SaaS industries. - CRM management experience (Zoho and Microsoft Dynamics preferred) with ability to own dashboard development and analyze data. - Strong data analysis and reporting skills (Excel, Power BI, Tableau, or similar tools). - Ability to support internal/external QBRs with data-driven insights and reporting. - Experience working with strategic third-party sales partners, optimizing performance and success. - Self-starter with the ability to identify gaps, suggest optimizations, and take initiative in process improvements. Requirements - Limited US travel is anticipated. Benefits - Comprehensive full medical, dental and vision Insurance. - Basic Life Insurance at no cost to the employee. - Company paid short-term and long-term disability. - 12 weeks of 100% paid Parental Leave. - Health Savings Account (HSA). - Flexible Spending Accounts (FSA). - Retirement savings plan. - Personal Paid Time Off. - Paid holidays and company-wide Wellness Day off. - Paid time off to volunteer at nonprofit organizations. - Pet friendly office environment. - Commuter Benefits. - Group Pet Insurance. - On the job training and skills development. - Employee Assistance Program (EAP).

• Write, read, and improve complex T-SQL against existing objects. • Investigate data discrepancies and reconciliation variances. • Apply analytical judgment to question data accuracy. • Maintain and monitor existing ETL processes and data pipelines. • Build and own Power BI reports and dashboards. • Work directly with capital markets stakeholders to understand their goals.

Role Description CareMore Health is seeking a Senior Clinical Data Analyst to join the analytics team to support and advance clinical analytics by analyzing clinical, claims, and operational data to uncover insights that drive improvements in quality, outcomes, and efficiency. This role is hands-on, focused on generating clear analyses, dashboards, and actionable insights that guide clinical and operational decision-making. The ideal candidate is equally comfortable writing advanced SQL, building compelling visualizations, and communicating findings in plain business language. Key Responsibilities - Data Analysis & Insight Generation - Write, optimize, and maintain SQL queries to extract, transform, and analyze large datasets. - Analyze clinical, claims, and operational datasets to identify trends, care variation, and opportunities for improving outcomes. - Conduct focused deep dive analyses on quality metrics, utilization patterns, readmissions, and chronic disease management. - Reporting & Visualization - Build and maintain dashboards, reports, and scorecards that track clinical quality and operational performance in Power BI or similar visualization tools. - Ensure reporting aligns with organizational priorities and regulatory/quality programs (e.g., HEDIS, STARS) when applicable. - Continuously enhance reporting tools to improve usability, accuracy, and timeliness based on close partnership with operational and clinical stakeholders. - Collaboration & Clinical Support - Partner with providers, care teams, and quality leaders to interpret data and support performance improvement efforts. - Serve as primary analytics contributor in organizational improvement workgroups supporting clinical and population health initiatives. - Data Stewardship & Standards - Support standardization of definitions, metrics, and methodologies across programs and markets. - Collaborate with data engineering and IT teams to ensure data accuracy and availability. Qualifications - Required: - 3+ years of experience in data analytics, healthcare analytics, business intelligence, or related field. - Proficiency in SQL, including writing queries with joins and basic performance tuning. - Experience in creating dashboards and data visualizations that support decision-making. - Ability to translate analytical findings into clear, concise insights for clinical, operational, or business audiences. - Experience collaborating with cross-functional teams (e.g., clinical, operations, quality); comfort engaging stakeholders at various levels. - Strong analytical thinking, problem-solving skills, and attention to detail. - Excellent written and verbal communication skills. - Preferred: - 5+ years of experience in data analytics, healthcare analytics, or business intelligence. - Advanced SQL skills, including working complex joins, aggregations, and query optimization. - Strong experience building interactive dashboards and reports that influence decision-making. - Familiarity with quality programs such as HEDIS, STARS, CMS measures. - Familiarity with data modeling concepts or ETL processes. - Experience with tools such as Power BI, Tableau, or Databricks. - Background in healthcare, clinical data, population health, or value-based care analytics. Compensation $119,313.00 to $178,968.00

• You'll own the metrics that run the business. • You'll own the dashboards and definitions Product, Growth, Marketing, and Finance rely on every day. • You'll build in Hex, document in our spec, and enforce consistent definitions across teams. • When retention dips or a funnel leaks, you won't stop at the symptom. • You'll follow the thread — through cohorts, segments, the quirks of specific games — until you can name the cause and recommend a fix. • You'll design and analyze A/B tests on product changes, pricing, onboarding, and growth initiatives. • You'll set sample sizes, call stat sig, and write the readouts. • You'll work directly with our leaders on the questions that don't have obvious answers. • You'll frame the question, run the analysis, and deliver the recommendation.