Operational Data Analyst
New
N
NablaHealthcare, AI
Anywhere in the United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years of experience
- Required Skills
- SQLTableauLooker
Requirements
- 3+ years of experience with clinical operations and business operations data.
- Masters degree or higher in data science or related field (preferred).
- 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).
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.
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