• Own the technical implementation of GA4, Mixpanel, Webflow Analyze, and Google Tag Manager (GTM) across the website and application funnel. • Partner with marketing and website leadership to implement measurement frameworks and KPIs that track website performance and patient acquisition. • Maintain the configuration of OursPrivacy to ensure website and marketing tracking remain HIPAA-compliant and secure. • Collaborate with product and engineering teams to support accurate tracking between website activity and backend application data. • Maintain consistent UTM and tracking parameters to support accurate attribution of website traffic and enrollments. • Partner with the data science team to query and analyze web behavioral data in Snowflake, connecting it with backend datasets to better understand user journeys from first visit to enrollment. • Build and maintain Looker dashboards that provide accessible reporting on marketing and website performance. • Document tagging, naming conventions, and analytics processes to support consistent data collection and reporting. • Analyze website traffic, user behavior, and customer journeys to identify trends and opportunities to improve the user experience and drive patient enrollments. • Support collaboration with the data science team to help develop behavioral datasets that inform analytics and modeling. • Conduct routine data audits and site health checks to ensure continuity between website activity, marketing channels, and patient data. • Serve as a key analytics resource for the marketing team, helping stakeholders interpret data and use reporting tools effectively.

• Partner with Consumer Operations leadership to define the metrics we use to run the business • Investigate unexpected performance changes, uncover root causes, and recommend our response — not just surface symptoms • Build and maintain dashboards, alerts, and monitoring systems that surface issues before they become crises • Connect disparate data sources into a unified, trustworthy picture • Translate complex analysis into clear, actionable insights for non-technical leaders • Help shift the organization from reactive to proactive through better data

Role Description As our Data Analyst, you will support company leaders by providing essential analysis, insights, and reports to drive informed decision-making. You will report directly to the VP of Data, Product, & Engineering Operations. - Develop and maintain reports, visualizations, and dashboards to help monitor performance and identify areas for improvement. - Integrate AI tools into daily workflows to increase efficiency in data cleaning, initial analysis, and documentation generation. - Collaborate with team leads to understand and track outcome-based metrics that support company objectives. - Analyze data and provide stakeholders with clear, actionable insights to drive decision making. - Work with data engineers to understand data transformations and ensure data quality for reporting and analysis. - Manage ad hoc data requests from various business areas under the guidance of senior team members. - Document data processes and communicate findings or data issues to internal stakeholders. - Maintain a curiosity for modern data stacks and a willingness to learn tools such as Fivetran, Snowflake, dbt, Hightouch, and Thoughtspot. Qualifications - 3-5 years of experience as a data analyst. - Proficient SQL skills, 2+ years writing SQL queries (joins, CTEs, window functions). - 3-5 years of experience in building reporting in modern BI tools (e.g. ThoughtSpot, Looker, Tableau, etc). - Strong analytical skills with the ability to communicate actionable insights. - Strong attention to detail and accuracy in organizing and disseminating information. - Demonstrated ability to use AI assistants (e.g., ChatGPT, Claude, GitHub Copilot) to assist in writing SQL, debugging code, and writing documentation. - Experience developing and maintaining data transformations using dbt (preferred but not mandatory). - Hands-on experience building forecasting models (e.g., moving averages, exponential smoothing, Prophet) (preferred but not mandatory). - Experience supporting or building customer success reporting and analytics (preferred but not mandatory). - Proficiency with version control systems (e.g., Git) (preferred but not mandatory). - Experience using Python for data analysis, modeling, or automation (preferred but not mandatory). Requirements - To work remotely, you must have a strong internet connection, quiet space to take calls, and a professional (distraction-free) environment. - This is a remote and US states based opportunity. We ask that you work in a location that is private, with secure (not public) internet and phone access. - Suitable to safely and securely accommodate the sensitive information that you will be handling and communicating. - Given the nature of the material you will be working on and handling, you are required to work from a private, dedicated, distraction-free space. - We are currently not accepting candidates in the following states: Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and West Virginia. Benefits - The starting salary for this position is $80,000-$90,000 annually. - Remote work environment. - Medical, dental, and vision benefits within 30 days of hire. - Retirement saving account with matching company contributions. - Mental health benefits. - 15 days paid vacation, two additional days for each subsequent year (up to a maximum of 25 days). - Sick and Caregiving Days. - Professional development initiatives for growth. - Generous parental leave (maternal and paternal) during a new child’s first year (born into family or adopted) and pregnancy loss leave.

• Analyze existing Power BI reports and dashboards to extract business logic, calculations, and data transformations. • Translate reporting logic into clear functional and technical requirements for rebuilding reports. • Design and develop BI and semantic data models to enable consistent, reliable, and scalable analytics across applications. • Implement and manage open-source reporting and dashboarding tools such as JasperReports, Grafana, and Metabase for operational and analytical insights. • Define and enforce data security, role-based access control (RBAC), and data governance across reporting and application layers. • Architect and develop backend APIs, including robust API contracts, versioning strategies, and performance optimization for data delivery. • Apply advanced React expertise to build interactive, data-driven dashboards and reporting interfaces with high usability and performance. • Support Enterprise Data Warehouse maintenance and enhancements. • Develop and optimize Power BI reports and dashboards for performance and scalability. • Define data refresh strategies and ensure reporting data accuracy and consistency. • Work with multiple data sources and support data ingestion and transformation workflows. • Perform integration work across systems and analytics platforms. • Troubleshoot data and reporting issues across environments. • Collaborate directly with the U.S.-based technical and business teams to align on reporting requirements and delivery. • Continuously improve data models, reporting processes, and documentation standards.