Staff Data Analyst

🕒 March 18

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OpenLoop

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

☁️ SaaS

🤝 B2B

🏢 Enterprise

💰 $15M Series A - OpenLoop Health on 2023-03

SaaS • B2B • Enterprise

OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.

📋 Description

• 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.

🎯 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. • 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.

🏖️ Benefits

• Health insurance • Professional development opportunities