Atlas has invested in a robust operations data infrastructure, and we're looking for someone who can build on that foundation to accelerate automation and speed-to-insight across our analytics workflows. The Senior Data Analyst, Clinical Operations will be a strategic analytics partner to clinical operations leadership, bringing together data from multiple platforms — including call center data, outcomes reporting, and our integrated Snowflake data warehouse that houses EMR data— to understand productivity and performance drivers across care teams. This role owns the full lifecycle of operational reporting: pulling and reconciling data across sources, reviewing it for accuracy and consistency, building and maintaining dashboards, and generating insights that practice administrators and leadership can act on.

Data Integration & Quality

Pull, combine, and reconcile data from multiple platforms into unified analyses

Scope includes data supporting engagement, clinical programs, clinical documentation, and care team access/productivity

QC data across sources to identify inconsistencies, gaps, or errors, and resolve or escalate data integrity issues as needed

Maintain documentation of data sources, definitions, and report logic to ensure consistency across analyses

Reporting & Dashboards

Build and maintain datasets to analyze care team productivity, call volumes/handling, and EHR-based workflow data across practice-partner sites

Design, build, and maintain recurring dashboards and reports that track key operational metrics over time

Insights & Analysis

Identify drivers of performance variation across teams, sites, and roles

Generate clear, actionable insights from complex, multi-source datasets and present them to both technical and non-technical audiences, including clinic-level operators and senior leadership

Senior Data Analyst, Clinical Operations

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Atlasonc

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