Staff Data Analyst

OpenLoop Health

34d

About The Position

OpenLoop’s mission is to bring care anywhere by powering telehealth solutions at scale. OpenLoop is seeking a Staff Data Analyst to serve as a strategic analytics leader within our growing healthcare organization. This role is responsible for shaping how data informs executive decision-making, operational excellence, regulatory compliance, and patient outcomes across our national telehealth platform. As a senior individual contributor, this role combines advanced analytics expertise with strong business partnership.

Requirements

8+ years of experience in data analytics, preferably within healthcare, telehealth, or highly regulated industries.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field required.
Expert-level SQL proficiency; strong experience with Python or R.
Advanced experience with BI and visualization tools (Tableau, Power BI, Zoho Analytics, etc.).
Strong understanding of healthcare operations, compliance considerations, and regulatory reporting environments.
Proven ability to operate independently in ambiguous, high-stakes environments.
Demonstrated experience influencing executive-level stakeholders.
Exceptional communication skills with the ability to: Translate complex technical concepts into accessible language. Clarify ambiguous business requests into structured analytical plans. Deliver high-quality executive presentations.
Strong balance of technical depth and interpersonal effectiveness.
Comfortable managing urgent, high-visibility requests in a fast-paced healthcare environment.

Nice To Haves

Experience working with multi-state healthcare operations.
Familiarity with HIPAA, healthcare compliance frameworks, or regulated environments.
Experience supporting board-level reporting or investor analytics.
Experience building enterprise KPI frameworks tied to patient outcomes and operational efficiency.

Responsibilities

Define, and drive analytics strategy, in partnership with executive leadership
Shape long-term KPI frameworks tied to patient outcomes, provider performance, compliance metrics, and operational scalability.
Support regulatory reporting needs and ensure analytical frameworks will align
Analyze healthcare and telehealth data including utilization trends, patient engagement, provider performance, and quality measures.
Ensure alignment across data definitions, reporting structures, and metric calculations.
Identify risks related to accuracy, audit readiness, and healthcare requirements.
Support critical reporting tied to clinical quality, operational and compliance initiatives.
Anticipate impacts on analytics and proactively recommend data adjustments.
Develop predictive models and forecasting using SQL, Python, R, or similar tools.
Design senior level frameworks to evaluate all operational delivery initiatives.
Build scalable, reusable data models that support enterprise-level reporting.
Serve as a strategic analytics across all operations Finance, Operations, Clinical, etc.
Translate data needs from non-technical stakeholders, into structured analytical plans.
Lead presentations that synthesize complex data into strategic recommendations.
Elevate standards for data quality, reporting rigor, and analytical methodologies.
Mentor Senior and mid-level analysts; in both technical and business acumenIdentify gaps in data collection, governance, and reporting processes and implement scalable improvements.