Role Description We're looking for a Senior Data Analyst, Customer Retention & Expansion (Advanced Analytics) within Revenue Operations – Global Analytics COE. This role is remote, based in the United States. Scale GTM excellence with deeper, predictive insights that improve revenue durability, forecast confidence, and post-sale execution. The Senior Analyst plays a critical role in improving gross and net retention, churn mitigation, renewal execution, and expansion outcomes across the post-sale lifecycle. This role partners globally with Customer Success, Sales, Finance, and GTM leadership to translate retention and expansion data into actionable insights, trusted analytics, and operationalized predictive signals that inform strategy and in-quarter execution. This is a hands-on, high-impact individual contributor role for an analytically rigorous operator who thrives at the intersection of data, GTM strategy, and decision-making. In this role you will: - Churn & Expansion Analytics - Own analytical frameworks for gross and net retention, churn, renewals, and expansion across regions, segments, and GTM motions (Enterprise, Mid-Market, SMB; New Logo vs. Expansion). - Build cohort-based and lifecycle analyses to isolate structural drivers of retention performance versus timing, mix, and coverage effects. - Partner with Customer Success, Sales, and Finance to align bookings, renewals, and expansion analytics into a single, trusted view of post-sale performance. - Predictive & Diagnostic Analytics (Operationalized) - Develop and apply predictive and diagnostic analytics (e.g., churn risk, renewal prioritization, expansion propensity) using SQL, Snowflake, and Python. - Operationalize predictive outputs into repeatable workflows such as renewal focus lists, risk segmentation, and forecast support materials. - Partner with Data Governance and Business Intelligence, where applicable, to support the movement of advanced analytics into production reporting or operational processes. - Apply scenario modeling to support forecast reviews, renewal deep dives, and in-quarter risk management. - Snowflake & In-Database Analytics - Leverage Snowflake and in-database analytics capabilities (including Snowflake Cortex where appropriate) to create scalable, repeatable scoring and insight outputs. - Build curated feature sets and analytical views that enable consistent use of retention and expansion signals across dashboards and analyses. - Data Marts & Domain Data Quality - Design and build domain-specific data marts in Snowflake to support retention, renewal, and expansion analytics. - Own metric definitions, analytical logic, and data quality for the retention and expansion analytics domain, ensuring consistency and trust across leadership reporting. - Proactively identify data issues, investigate root causes, and partner with Systems, BI, and Finance teams to resolve discrepancies. - Executive Storytelling & Operating Cadence - Translate complex analyses into clear, executive-ready narratives for forecast reviews, QBRs, and renewal deep dives. - Proactively surface emerging risks, trends, and opportunities before they appear in lagging results. - Contribute insights and analysis that inform recurring operating cadences led by RevOps and GTM leadership. Qualifications - 3–5 years of experience in Revenue Operations, GTM Analytics, Customer Analytics, or a related BI/Analytics role within a B2B SaaS or subscription business. - Demonstrated experience analyzing retention, churn, renewals, and expansion metrics. - Strong SQL skills and experience with cohorting, lifecycle analysis, and time-based modeling. - Experience building and maintaining dashboards in BI tools (Tableau preferred) and working directly with CRM and financial data. - Familiarity with Python and statistical techniques for predictive or diagnostic analysis (e.g., regression, propensity analysis) preferred. - Strong business acumen, curiosity, and the ability to connect data to decisions through clear, concise communication. Benefits - Comprehensive compensation package including annual bonuses and program-specific awards. - Salary range: 89200 - 142700 USD, dependent on job-related factors. - Flexibility and empowerment in your career.

Role Description The Data & Automation Program Coordinator supports the Automation Team by owning the execution, coordination, and follow-through of both data operations and project/process improvement initiatives. This role ensures that accurate data flows reliably into reporting and dashboards while simultaneously driving day-to-day execution of projects, documentation, and operational improvements. This position translates strategic direction into actionable work, maintains operational discipline across multiple initiatives, and supports scalable, data-informed decision-making across the organization. This is a fully remote role; however, candidates must reside in Texas due to occasional in-state travel and team alignment. Key Responsibilities - Data Operations & Reporting Execution - Perform daily and weekly extraction of raw data from various company systems and sources. - Assist in the manual cleaning and formatting of datasets to ensure they are ready for analysis. - Execute routine, recurring reports (daily/weekly/monthly) to track service levels and departmental KPIs. - Monitor existing dashboards for discrepancies or visual errors. - Project & Program Execution - Manage incoming project requests through intake, tracking, prioritization, and follow-up. - Coordinate day-to-day execution of active projects, ensuring deliverables progress according to scope, timelines, and priorities. - Identify stalled items, risks, or dependencies early and proactively drive resolution or escalation. - Track milestones, decisions, and action items across multiple concurrent initiatives. - Act as a liaison between operational teams, IT, billing, clinical leadership, and external partners as needed. - Operational & Meeting Support - Provide administrative and coordination support for IT, operations, and project meetings. Prepare and maintain agendas, notes, decisions, and action items, capturing requirements and next steps. - Follow up with stakeholders to ensure completion of assigned tasks and commitments. - Prepare project updates and summaries, including charts and presentation materials for leadership and operational meetings. - Documentation, Process & Change Support - Assist in the testing and documentation of new automation tools and software implementations. - Maintain up-to-date process documentation, SOPs, job aids, and shared reference materials. - Manage feedback trackers, forms, dashboards, and project artifacts. - Ensure documentation is organized, accessible, and consistently maintained. - Support change management efforts, including training materials, communications, and rollout planning. - Serve as a first point of reference for questions related to solutions in production by directing users to shared resources and documentation. Qualifications - Required - High level of proficiency in Microsoft Excel or Google Sheets (Pivot Tables, lookup functions, formulas). - Strong proficiency in Microsoft tools including Teams, Planner, OneNote, SharePoint, and Power Automate. - Exceptional organizational, documentation, and follow-up skills. - Proven ability to manage execution across multiple workstreams simultaneously. - High attention to detail with a strong focus on identifying inconsistencies in large datasets. - Excellent written and verbal communication skills. - Preferred - Familiarity with SQL (basic queries) or BI tools such as Power BI or Tableau. - Experience supporting healthcare, clinical, or operational environments. - Background in project coordination, operations, process improvement, or data operations.

Role Description We are looking for a Senior/Lead Data Analyst to turn large, complex datasets into clear insights that inform decisions across the business. You will write advanced SQL queries against Snowflake, build dashboards in tools like Tableau or Power BI, and present findings to both technical and non-technical stakeholders. The role is focused on analysis and visualization — not data engineering or model development — and actively incorporates AI copilots to accelerate query generation and data exploration. Strong data quality instincts and the ability to work independently across cross-functional teams are essential. Qualifications - 4+ years of experience with Python, Node.js, or Java - Hands-on experience with API integrations - Strong experience working in Kubernetes environments - Experience with Datadog or similar tools such as Prometheus and Grafana - Ability to configure dashboards, alerts, and APM - Experience monitoring containerized and microservices architectures - Hands-on experience with AWS - Experience integrating observability tools into cloud environments - Experience with CI/CD integrations for observability - Ability to automate monitoring and operational tasks using scripting - Upper-intermediate English level Requirements - Experience owning and operating an internal engineering platform, especially observability platforms - Demonstrated ownership of reliability, scalability, and performance - Ability to proactively lead maintenance efforts and platform improvements - Experience installing and configuring Datadog agents and integrations - Experience managing API keys and secure configurations - Experience managing user roles and access controls within observability platforms - Familiarity with Go (Golang) - Experience with additional observability tools such as New Relic, Dynatrace, Elastic Stack, or Splunk Observability Cloud Benefits - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps - Competitive compensation: USD-based pay with education, fitness, and team activity budgets - Exciting projects: Modern solutions with Fortune 500 and top product companies - Flextime: Flexible schedule with remote and office options

Role Description As a Senior Data Analyst, you are responsible for collecting, analyzing, and visualizing data to generate actionable insights that inform business decisions. You design, build, and maintain dashboards and reporting frameworks that improve visibility into product performance, operational efficiency, and revenue outcomes. You help the team utilize AI capabilities to enhance our data platform. You partner cross-functionally with Product, Operations, Finance, and Revenue teams to translate business needs into data solutions, strengthen reporting accuracy and accessibility, and proactively identify trends and opportunities that support strategic growth and continuous improvement. Key Responsibilities - Data Analysis & Reporting: - Collect, analyze, and interpret data from various sources, including our e-prescribing, real time prescription benefit (RTPB), eligibility, and electronic prior authorization (ePA) platforms. - Develop and maintain dashboards and reports that track key business metrics such as customer transactional volume. - Provide actionable insights and recommendations to internal stakeholders (product, operations, and revenue teams) to improve business workflows and performance. - Identify trends, bottlenecks, and areas for improvement; provide actionable insights for optimization. - Data Visualization: - Create interactive, user-friendly reports and dashboards that clearly present business-wide, or customer-specific, metrics to non-technical users. - Optimize and automate reports to ensure timely and consistent access to up-to-date information. - Collaboration with Stakeholders: - Work closely with product managers, engineers, and business leaders to understand business needs and translate them into data-driven solutions. - Partner with the data engineering team to inform data architecture, storage, and processing. - Provide insights that support strategic decision-making for product development, operational improvements, and regulatory compliance. - Ad-Hoc Analysis & Research: - Perform ad-hoc analysis to support specific business initiatives, product development, or troubleshooting. - Research new trends and technologies within healthcare technology and the e-prescribing space to ensure the company remains at the forefront of innovation. - Generative AI: - Help team utilize AI capabilities to advance our data platform and products. - Documentation: - Text to SQL. - Automated Metric and Data Model Generation. Qualifications - 4+ years of experience in data analysis, reporting, and data visualization. - Bachelor’s degree in a relevant field preferred (Computer Science, Information Technology, Business Administration). - Demonstrated experience implementing reports or dashboards for stakeholders. - Expertise in Power BI, Tableau, or an equivalent BI tool. - Fluent with data querying and languages such as SQL (Snowflake). - Strong organizational and project management skills. - Excellent communication and interpersonal skills. - Ability to collaborate cross-functionally but can work independently as needed. - A data-driven approach to problem-solving and business decision-making. Core Competencies - Knowledge & Application: Complete knowledge and full understanding of area of specialization, principles and practices within a professional discipline. Assesses unusual circumstances and uses sophisticated analytical and problem-solving techniques to identify cause. Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. - Complexity & Problem Solving: Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. Devises solutions based on limited information and precedent and adapts existing approaches to resolve issues. Uses evaluation, judgment, and interpretation to select right course of action. - Collaboration & Interaction: Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. Adapts style to differing audiences and often advises others on difficult matters. Working Conditions & Environment - Fully remote role within the United States. - Periodic travel (approximately 5%) for team meetings. - Operates in a fast-paced, growth-oriented, PE-backed SaaS environment. - Requires cross-functional collaboration across Product, Sales, Customer Success, and Executive Leadership. - Ability to manage multiple concurrent projects and shifting priorities. - Success in this role requires the ability to balance synchronous collaboration with thoughtful asynchronous execution in a remote-first environment. Benefits - 🌍Remote work environment with a flexible work schedule to encourage work-life balance. - ✈Annual company offsite. - 🌴Generous leave package including flexible time off policy that encourages team members to take time off to relax and recharge; plus 13 paid holidays, paid sick leave, and paid parental leave. - 💙 Medical, dental, and vision insurance for you and your family, plus a company funded FSA & HSA (dependent on which medical plan you choose). - 💰401(k) company match. - 💸One-time workspace reimbursement to help you optimize your remote workspace.