Operational Data Analyst

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3d•Remote

About The Position

We are looking for an Operational Data Analyst to turn real-world customer deployments into scalable insight. In this role, you will analyze implementation patterns, product usage, and operational workflows to identify what drives adoption, retention, and expansion across our customer base. You will partner cross-functionally with our Customer Success, Product, and Sales teams to translate data into best-practice playbooks, measurable success benchmarks, and evidence-based collateral that strengthens both our roadmap and our market narrative.

Requirements

3+ years of experience with clinical operations and business operations data.
Demonstrated track record of turning ambiguous business questions into structured analyses and actionable recommendations.
Excellent communication and writing skills, with the ability to collaborate effectively across teams.
Strong project management skills, with proven ability to manage multiple priorities simultaneously.
Strong SQL proficiency and experience working with large, structured datasets.
Experience building dashboards and reporting frameworks (e.g., Looker, Mode, Tableau, Sigma, etc.).
Ability to design metrics that connect operational inputs to business outcomes (e.g., time-to-value → retention → expansion).

Nice To Haves

Masters degree or higher in data science or related field (preferred).

Responsibilities

Analyze customer implementation data, product usage patterns, and lifecycle metrics to identify new areas of impact and clinical value.
Build and maintain dashboards that track Go Live performance, time-to-value benchmarks, and early indicators of customer engagement.
Quantify the impact of configuration decisions, workflow design, and feature utilization on customer outcomes.
Identify trends and recurring friction points across deployments, translating them into structured insights for Operations and Product teams.
Collaborate with Clinical Product to surface real-world deployment insights that inform roadmap prioritization and feature refinement.
Work with Sales and Customer Success to develop evidence-based narratives around product value and operational impact.
Work with the Marketing team to evaluate communication opportunities, shape messaging based on real-world product impact, and support the development of relevant content and thought leadership.
Support leadership with structured analysis to guide strategic decisions around customer segments, workflows, and growth opportunities.