Job Summary: In this role, you will develop analytical insights to identify payment anomalies in client’s healthcare claims data. To be successful in the role, you will have sound knowledge and experience with Statistical Models, Data Mining, and building dashboards to deliver insights, insights communication and presentation, as well as demonstrating the ability to combine advanced analytics skills with exceptional business acumen. The Data Analyst II will collaborate with cross-functional teams to translate complex data findings into clear, concise, and actionable recommendations. This position is a remote position. Key Responsibilities: Data Analysis and Interpretation: - Develop a deep understanding of the key initiative of the organization and be able to provide analytical solutions that provides actionable recommendations to drive the success of the key initiatives. - On-going monitoring of product lines including but not limited to the success metrics for each model and dashboards required for executive decision-making. - Collect, clean, and analyze data from multiple sources to identify trends, patterns, and insights. - Apply statistical methods and advanced analytical techniques to solve business challenges and provide forecasts or predictive models. - Monitor data integrity by conducting regular audits and ensuring accuracy and completeness of datasets. Data Visualization and Reporting: - Develop dashboards using claims and eligibility data with analytical insights to assist in executive decision making. - Work with business stakeholders to understand their goals, challenges, and opportunities, and translate their needs into analytical projects. - Prepare on-demand analyses and ad-hoc reports and insights. - Present findings to stakeholders and translate insights into strategic recommendations. Development and Testing: - Identify opportunities to automate data processes, streamline workflows, and improve reporting efficiency. - Document analytical methodologies, data workflows, and insights to ensure transparency and knowledge sharing across the organization. Business Partner Collaboration: - Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in oral and written presentations. - Work closely with Information Management teams to automate recurring tasks and improve processes to continually increase efficiency. Qualifications: - Education: - Bachelor’s degree in business, economics, finance, mathematics or related field. - Experience: - A minimum of five (5) years of analytical work experience with healthcare claims data - Experience and understanding of data analysis and appropriate application of these capabilities in a business performance environment - SQL: 5+ years (Required) - Healthcare claims: 5+ years (Required) Technical Skills: - Proficiency in SQL and experience with data querying and database management. - Experience with data visualization tools such as Tableau, Power BI, or QlikView. - Familiarity with statistical software or programming languages (e.g., R, Python, SAS, or SPSS). - Working knowledge of ETL processes and data pipelines Key Competencies: - Demonstrated ability to analyze data and synthesize findings into clear insights. - Experience with statistical analysis, forecasting, regression models, and predictive analysis. - Strong attention to detail and a commitment to accuracy. - Proven ability to work independently and collaboratively in a fast-paced, team-oriented environment. - Curiosity, adaptability, and eagerness to learn and apply new technologies or methods. - Strong written and verbal communication skills. - Ability to present complex information in a clear, concise, and actionable manner. This job description serves as a general overview of the role and is not exhaustive. The Data Analyst II may be required to perform additional responsibilities as needed to support the organization’s goals and objectives. Who is SmartLight Analytics: SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.

We are seeking a Data Analyst who will review and analyze data. The Data Analyst will create reports, dashboards, and presentations for stakeholders and/or leadership and utilize findings to aid in decision-making. Specific Duties & Responsibilities - Collect and analyze quantitative and qualitative data in accordance with applicable privacy laws such as PERPA/HIPAA. - Communicate findings compellingly and visually through dashboards, reports, briefing decks, stories, scorecards, executive briefings, etc. For different audiences using solutions like Power BI and Tableau. Proofread and edit reports and other products of office to attain consistency of format. - Regular outreach to offices to learn about upcoming surveys scheduled; maintain up to date documentation. - Assist with the development of a detailed communication strategy and plan for the office/assigned area. - Maintain office website and produce materials in coordination with the divisional communications team. - Other duties as assigned. In Addition to the Duties Listed Above - The Data Analyst will specifically support The Challenge Initiative (TCI). TCI is a global platform led by the William H. Gates Sr. Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health that partners with local governments to sustainably scale proven high-impact interventions in family planning, with expansion into broader primary health priorities in some settings. Since 2016, TCI has worked across 214 local governments in 13 countries in Africa and Asia, supporting cities and subnational governments to lead implementation, strengthen health systems, and institutionalize effective approaches for lasting impact at scale. Minimum Qualifications - Bachelor's Degree. - Three years of related experience. - Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications - Master’s Degree in Public Health or similar areas - Proficiency in data analysis softwares like STATA, R, Python. - Experience with no-code databases like Knack. - Experience with use of AI agents and chatbots for quantitative and qualitative work. Technical Qualifications & Specialized Certifications - Experience using software for data analysis (Tableau, Power BI, Excel). Technical Skills & Expected Level of Proficiency - Data Analysis - Developing - Data Collection and Reporting - Developing - Data Tools and Platforms - Developing - Editing - Developing - Oral and written communications - Developing - Report Writing - Developing - Stakeholder Engagement - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Data Analyst Role/Level/Range: ATP/03/PB Starting Salary Range: $22.21 - $38.84 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: Hours Vary; Approximately 15/week within Monday-Friday FLSA Status: Exempt Location: Remote Department name: PFRH Gates Institute Personnel area: School of Public Health

Title: Staff Data Analyst Location: San Francisco, CA, USA Hybrid Job Description: About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others. The Opportunity: Grow Therapy is seeking a Staff Data Analyst to drive data-informed decision-making across our Match Success product group. In this role, you will lead analytical initiatives that help us understand how patients and therapists connect and begin their journey together, and shape the product experiences that make therapy accessible and effective. You will partner closely with Product and cross-functional stakeholders to set the analytical agenda, own business-critical reporting, use data to improve products, and run rigorous experiments, while helping raise the bar for how data is used across the team. What You’ll Be Doing: - Partner with Product and other technical stakeholders to prioritize analytical needs and support product launches, decision-making, and ad hoc requests through clear, data-driven insights. - Own analytical strategy and define the metrics, reporting frameworks, and experimentation roadmap that guide product direction and OKR development for the team - Design, maintain, and scale business-critical dashboards and datasets that give stakeholders reliable, self-serve access to the metrics that matter. - Lead experimentation end-to-end, from thoughtful test design through execution, analysis, and clear, actionable recommendations that drive product decisions. - Craft compelling data narratives and visualizations that translate complex findings into crisp takeaways for product, leadership, and executive audiences. - Collaborate with data scientists and data engineers to improve logging, pipeline reliability, data availability, and modeling foundations (including dbt). - Partner with other analysts, contribute to shared tooling and frameworks, and help set standards for analytical rigor across the team. You’ll Be a Good Fit If: - You have 7+ years of experience applying analytics to complex, cross-functional business problems in a high-growth, product-focused environment. - You are a self-directed owner who proactively identifies high-impact opportunities, navigates ambiguity well, and drives work forward without waiting to be asked. - You are deeply fluent in SQL and have strong working knowledge of experimental design, including A/B testing methodology and statistical interpretation. - You have a proven track record building business-critical dashboards and data visualizations, ideally in Hex, Looker, or similar platforms. - You have experience with data modeling (dbt) or a strong track record of quickly picking up new technical tools and frameworks. - You are a skilled data storyteller who knows how to extract insight from complexity and communicate it clearly to both technical and executive audiences. - You build strong relationships across functions, comfortable partnering with engineers, PMs, and executives, and you know how to earn trust through rigor and clear communication. - You care deeply about expanding access to mental health care and are motivated by work that has a direct impact on patient and provider outcomes.` - Experience with advanced analytics techniques such as python, ML models, LLM, etc., is a plus. Role Details: - Employment Type: Full-Time, Exempt - Base Compensation: The base compensation range for this position is Hybrid Commitment: $182,000 - $227,000 USD Annually This role is hybrid (onsite from our San Francisco hub location three days per week: Tuesday, Wednesday, Thursday) This include travel 2–3 times per year (e.g., company and department offsites). The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location. Full Time Employee Benefits: - Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage. - Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend. - Financial Wellness: 401(k) program and equity opportunities. - Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees. - Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week. - Wellness & Development: Annual stipends to put towards personal & professional growth. - Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace). - Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance. Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings. Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

• Leads, mentors, and develops a team of safety analysts and engineers, establishing clear roles, responsibilities, and performance expectations across on‑road and simulation‑based safety performance monitoring. • Provides regular technical review, coaching, and feedback to ensure analyses are statistically sound, methodologically defensible, reproducible, and supported by clear documentation. • Sets expectations for rigorous problem formulation, appropriate method selection, and defensible interpretation of results, particularly for sparse, noisy, or rare‑event safety data. • Ensures continuity of knowledge through documentation, peer review, cross‑training, and shared analytical patterns to reduce single‑point dependencies. • Ensures team outputs are aligned with internal safety policies, safety case strategy, and regulatory expectations, including appropriate use of statistical and risk‑based evidence. • Applies engineering judgment, informed by an understanding of safety metrics, deployment context, and probabilistic risk estimation, to evaluate the sufficiency of safety performance evidence and residual risk. • Guides leaders in understanding the strengths, limitations, uncertainty, and assumptions underlying safety performance results. • Balances analytical rigor with timeliness to support high‑consequence, time‑sensitive decisions, without overstating confidence or masking uncertainty. • Drive data visualization and reporting strategies that enable both technical teams and executives to quickly understand insights and tradeoffs • Ensure transparency and traceability through strong documentation, reproducible workflows, and automated reporting (including regulatory artifacts) • Establishes and oversees requirements and safety metrics including thresholds and targets for safety performance monitoring across on‑road and simulation‑based data sources. • Ensures performance monitoring approaches appropriately reflect real‑world deployment exposure and evolving operational contexts. • Governance of continuous analysis workflows that support operational monitoring, milestone gating, and incident response. • Ensures investigations are unbiased, statistically appropriate, and methodologically sound, including correct treatment of rare events, sparse data, and uncertainty. • Reviews and challenges analytical assumptions, metric definitions, and risk interpretations to prevent misplaced confidence. • Guides the team in synthesizing findings across data domains into coherent, defensible safety narratives that connect performance results to risk. • Communicates complex safety performance results, statistical reasoning, and risk implications clearly and confidently to engineers, executives, and safety governance bodies. • Represents the team in cross‑functional forums, advocating for analytical rigor, disciplined interpretation of results, and realistic expectations of what performance data can and cannot support. • Translates uncertainty, assumptions, and limitations transparently, enabling informed decision‑making rather than false confidence. • Builds trust through consistency, technical credibility, and demonstrated accountability for the quality and integrity of team outputs.