About Lark
At Lark Health, we’re leading the way into a new era of cardiometabolic care, leveraging advanced AI techniques–including deterministic and generative models–to provide scalable, affordable, and compassionate care. We help our healthcare partners manage over 30 million lives and prevent conditions like obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real-time personalized counseling and health monitoring for each patient. By providing compelling and actionable insights, we empower every user to live happier, healthier lives. Come join our team!
The Role
Lark is looking to hire a talented Data Business Analyst to join our growing team! The Business Analyst is a central role on our Product team, working at the intersection of business strategy, client requirements, and data delivery. You will collaborate closely with the Product team (strategy and vision), the Data Science team (execution and delivery), and technical data teams (engineering, science, reporting) to ensure our health coaching platform delivers reliable, tailored, and impactful reporting to clients.
If you’re passionate about data, driven by impact, and excited to work at the intersection of healthcare, AI, and human-centered design, we’d love to meet you.
What You’ll Do
Triage and Prioritize Requests: Holistically evaluate and prioritize external data requests, bridging business and technical teams. Requires a strong understanding of data architecture, pipelines, and analytics to ensure successful handoff and execution. Serve as the liaison between business stakeholders and technical/data teams, requiring a strong understanding of data architecture, pipelines, and analytics.
Proactive Risk Management: Identify and manage risks unique to data (e.g., security breaches, integration failures), collaborating with the Security team and escalating issues as needed. Collaborate closely with the Data Governance team to manage risks related to data privacy, integration, or delivery breakdowns.
Requirements Translation: Translate business and client needs into clear, detailed specifications and user stories for data/analytics engineers, data scientists, and analysts, ensuring alignment with both short-term client expectations and long-term product strategy.
Data Collection Strategy Alignment: Collaborate with the Product , Data Science, and Analytics teams to ensure reporting designs and upstream data collection align with strategic company objectives and scalable future needs.
Quality Assurance & Iteration: Review initial report outputs, validate accuracy and relevance, and iterate based on feedback to ensure outputs meet client expectations and business value requirements.
Partner File Specifications: Develop, standardize, and maintain specifications for files required by partners, ensuring accuracy, thorough documentation, and compliance with client expectations.
Business Needs Discovery: Identify high-level data business needs and collaborate with the Product Manager to define clear solutions and measurable success criteria.
Continuous Feedback & Improvement: Gather and synthesize feedback from clients and internal teams to inform reporting enhancements, identify inefficiencies, and drive improvements in usability and satisfaction.
What You’ll Need
Proven experience as a Business Analyst in client-focused, data-driven environments (healthcare, wellness, or highly regulated industries preferred)
Strong understanding of data flows, reporting systems, and data lifecycle from collection through delivery
Ability to think strategically while sweating the details — translating business needs into scalable, measurable reporting solutions
Experience defining metrics and success criteria for data products or reports
Strong requirements elicitation, documentation, and communication skills
Ability to collaborate effectively with strategic (Product), delivery (Program), and technical (Engineering/Data) teams
Experience working in agile or hybrid delivery environments
Familiarity with healthcare data privacy and compliance (HIPAA, GDPR) is a plus
Working at Lark
Lark operates as a remote organization, requiring all employees to reside within the United States. The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.
Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.
#LI-JB1
#LI-Remote
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead the design and delivery of scalable data pipelines and integrations as a senior engineering leader focused on data quality and cross-functional impact.
Lead the design and execution of Signet’s customer data and analytics platform to optimize existing customer profiles and develop AI-powered prospect identification strategies.
Artemis is looking for an Analytics Engineer / Data Scientist to build scalable on-chain data pipelines and public dashboards that power a next-generation data terminal for digital finance.
Claritas Rx is hiring a Senior Data Engineer to define and implement robust, HIPAA-compliant data architectures and lead engineering efforts across a remote US team.
Collective Health is hiring a Senior Data Engineer to lead design and implementation of large-scale ETL, data modeling, and governance for analytics and ML across hybrid offices in San Francisco, Lehi, or Plano.
Senior Data Engineer needed to architect and maintain a scalable data platform at Amplify, powering data-driven products and insights for K–12 education.
Senior Power BI Technical Lead to define BI architecture, build performant semantic models, and drive Power BI best practices across a remote US analytics organization.
Trexquant seeks a hands-on Data Platform Engineer to build scalable, observable data infrastructure and ensure high-precision data reliability across its trading operations.
Lead Emory Healthcare's Data Integrity program to ensure accurate patient records in Epic through identity resolution, chart corrections, governance, and cross‑team collaboration.
Lumion seeks a hands-on Senior Data Engineer to build scalable Snowflake pipelines and BI solutions that drive actionable insights across a growing edtech platform.
Capital One seeks a Senior Data Engineer experienced in Python, Scala, and AWS to build and optimize cloud-scale data platforms and streaming solutions that support analytics and product delivery.
Comcast Business is hiring a Data & Analytics Engineer to design scalable data pipelines, manage data systems, and enable business intelligence across enterprise platforms.
Lead the design and operationalization of scalable lab and enterprise data architectures to enable scientific insights and regulatory-compliant data management across AskBio's global lab network.