Data & Analytics Lead

🕒 May 6

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Abby Care

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

👥 B2C

Healthcare Insurance • B2C

Abby Care is a service that helps families get paid for providing in-home care to loved ones with disabilities or special needs. The organization trains and certifies family caregivers at no cost, manages hiring and payroll, navigates Medicaid and insurance paperwork to secure payment, and provides a purpose-built platform, clinical support, and community resources. Abby Care operates in multiple U. S. states and focuses on enabling high-quality, compensated family caregiving through partnerships with insurers and Medicaid programs.

📋 Description

• Own the company’s data layer end-to-end: define the vision and roadmap across data modeling, metrics, and analytics, and ensure it scales with the business • Establish the single source of truth: define and standardize core lifecycle metrics (e.g., funnel conversion, time to start of care, operational efficiency) and build dashboards used to run the company • Build a scalable data foundation: partner with Engineering to develop a unified data model aligned with the System of Record; ensure strong data governance, reliability, and accessibility • Drive insights and business impact: identify bottlenecks, inform prioritization and strategy, and enable a shift from reactive reporting to proactive, data-driven execution • Lead cross-functional alignment: partner closely with Product, Ops, Engineering, and Finance to align on definitions, priorities, and decision-making frameworks • Leverage AI to accelerate analytics and data workflows: stay at the frontier of AI capabilities and apply them to improve data modeling, analysis, insight generation, and team productivity • Grow and lead a high-performing team: recruit, mentor, and establish strong operating mechanisms for analytics execution and delivery • Stay hands-on as a builder: contribute directly to data modeling, analysis, and dashboarding, especially in early stages

🎯 Requirements

• 6+ years of experience in analytics, data science, or related roles, with experience in supporting the work of others • Experience owning data/analytics roadmap and delivering measurable business impact, ideally building in a 0->1 environment • Strong hands-on expertise in: • SQL and data modeling • Modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker or similar) • Proven ability to work cross-functionally and influence stakeholders • Experience leading or mentoring others (formal or informal) • Strong judgment and pragmatism: able to balance speed, rigor, and scalability • Preferred: • Experience in healthcare, marketplace, or other operations-heavy environments • Familiarity with lifecycle-based analytics and event-driven systems • Experience building data foundations that support AI/ML systems • Strong interest and track record in applying AI to analytics and data workflows (e.g., automation, copilots, AI-assisted analysis) • Experience operating in zero-to-one or early scaling environments

🏖️ Benefits

• Competitive compensation packages that reflect the value you bring. We reward our team for the impact of their work – full-time employees are eligible for an annual company performance bonus. • Comprehensive health coverage that works for you. Choose from high-quality medical dental and vision options, including a $0 deductible PPO and a company-funded HSA, alongside employer-paid life and disability insurance. • Generous paid time off. We provide policies that allow you to recharge along with 10 paid company holidays. • Financial savings benefits to support your future. We support your financial well-being with HSA contributions, optional FSA and commuter benefits, and full coverage of all 401(k) account fees (employer match not currently offered). • Paid parental leave to support your growing family. We provide paid leave, so you can focus on bonding and adjusting to life as your family grows.