• Create innovative, thought provoking, and highly leveraged “must-have insights” content • Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests that accelerate the client's ability to act • Develop in-depth analysis to identify the root cause of a client’s barriers or overall needs and reframe thinking to drive strategy forward • Demonstrate thought leadership in establishing Insights positions across a team of analysts • Bring provocative, independent insights to Gartner leaders that can evolve the course of a research agenda • Research, analyze and predict market trends and shifts to provide clients and vendors with actionable insights • Provide clients and prospects with actionable advice aligned to their designated content area via virtual or face-to-face interactions • Create and deliver high value presentation materials on and off stage for Gartner events, industry and professional association conferences, and client briefings • Support BTI and Sales: Provide sales support serving as voice of the market to help Insights teams create content and to drive engagement with clients to make progress against their critical priorities to grow their business • Provide high quality and timely content peer review • Build credibility as an industry expert to represent Gartner insights, methodology and strategy • Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the Insights community • Identify research process improvements or develop new processes that help the team and BTI provide excellent service delivery • Be a mentor and a coach by supporting more junior team members • Be client-centric while actively seeking to help clients engage regularly and often with Gartner insights and interactions

Data Analyst, Clinical Operations Location: Remote (United States) Work Arrangement: Remote (Periodic on-site team sessions throughout the year) Employment Type: Full-Time Job Description: The Role The Data Analyst supports the Clinical Operations Analytics team by producing clear analyses, dashboards, and reports that guide clinical and operational decisions. The role uses SQL and BI tools to explore datasets across claims, ADT/HIE, FHIR, Elevate, and other business systems, and derives insights for internal leaders and customer-facing reviews. The analyst also helps maintain accurate data models and monitors data quality across core reporting assets. Key responsibilities of this role may include: • Collaborate with operational stakeholders (Product, Engineering, Clinical, and Engagement) to clarify analytic needs and define requirements. • Build clear analyses, visuals, and dashboards using datasets such as claims, pharmacy, FHIR, Elevate, and other internal tools. • Prepare customer-facing summaries that show Tuesday Health impact, support JOC materials, and track progress toward SLAs. • Assist with data model development by creating well-documented transformations and partner with Analytics Engineering to ensure models stay accurate and aligned with reporting needs. • Monitor data quality for dashboards and reports. Flag anomalies, locate root causes, and coordinate with cross-functional teams to reduce downstream reporting issues. A strong candidate will demonstrate the following: · Care about improving healthcare and Tuesday’s mission. · Tell clear stories with data and simplify complex ideas for non-technical audiences. · Show comfort in a fast-moving, fluid environment. · Enjoy creating clean, thoughtful visuals and slides. · Approach work with curiosity and willingness to dig. · Maintain a high bar for accuracy and quality. Skills and Experience Required: - Proficiency with SQL - Proficiency with one or more BI tools (ThoughtSpot, Tableau, Looker, PowerBI, etc.) - 2-4 years in healthcare analytics or a related data role - Experience building dashboards or recurring reporting that supports operations Nice-To-Have: - Experience analyzing and transforming data in Python - Familiarity with dbt and analytics engineering best practices - Experience with Databricks, Snowflake, or similar cloud data platforms - Experience with healthcare datasets (e.g. claims, ADT/HIE) - Experience with git for version control What We Offer - Competitive compensation, reflecting our commitment to attracting, retaining, and motivating the best talent in the industry - Comprehensive benefits including medical, dental, vision, and life insurance, paid time off and holidays, employer 401(K) match, etc. - Remote work with multiple onsite sessions each year to maximize collaboration and team building - A dynamic and inclusive team environment where you can lean on your teammates, offer candid feedback, bring your true self to work each day, and deliver tremendous impact while having fun along the way - Meaningful work each day; we care deeply about our mission, our patients, and each other If you are passionate about improving the quality of care for seriously ill individuals and their caregivers through innovative solutions, we would love to hear from you. Tuesday Health seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. Tuesday Health is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

• Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts; and extract insights from these data activities to inform marketing decisions. • Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for marketing leaders. • Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives. • Measure and diagnose the performance of SEM, SEO, and Generative AI channels—analyzing spend efficiency, keyword and query performance, organic visibility and share of voice, funnel conversion, and lead value/ROAS—to guide budget allocation and channel strategy. • Map marketing processes and channel journeys to their corresponding data flows across acquisition, engagement, and revenue generation. • Proactively identify and surface opportunities to improve efficiency, conversion, revenue generation, client and talent experience, operations, communication, systems & tools, cash usage, etc. • Work closely with marketing stakeholders, data analysts, and business process owners to empower data-backed decision making, balancing and prioritizing competing requests across teams. • Leverage Generative AI tools (such as Claude, Gemini, and ChatGPT) to accelerate analysis, automate reporting workflows, and evaluate the growing impact of AI-driven search and referral channels on marketing performance. • Build and maintain marketing data infrastructure from lead acquisition to revenue generation, setting up and integrating Google Analytics, Google Search Console, and Google Ads as required.

• Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Tableau reports, and write SQL scripts; and extract insights from these data activities to inform marketing decisions. • Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for marketing leaders. • Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives. • Measure and diagnose the performance of SEM, SEO, and Generative AI channels—analyzing spend efficiency, keyword and query performance, organic visibility and share of voice, funnel conversion, and lead value/ROAS—to guide budget allocation and channel strategy. • Map marketing processes and channel journeys to their corresponding data flows across acquisition, engagement, and revenue generation. • Proactively identify and surface opportunities to improve efficiency, conversion, revenue generation, client and talent experience, operations, communication, systems & tools, cash usage, etc. • Work closely with marketing stakeholders, data analysts, and business process owners to empower data-backed decision making, balancing and prioritizing competing requests across teams. • Leverage Generative AI tools (such as Claude, Gemini, and ChatGPT) to accelerate analysis, automate reporting workflows, and evaluate the growing impact of AI-driven search and referral channels on marketing performance. • Build and maintain marketing data infrastructure from lead acquisition to revenue generation, setting up and integrating Google Analytics, Google Search Console, and Google Ads as required.