Senior Data Analyst, Clinical Operations

Role Overview

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 an integrated Snowflake data warehouse housing 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.

Key Responsibilities

Data Integration & Quality

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

Stakeholder Partnership

• Gather requirements from clinical operations leadership and translate them into specific, actionable analyses

Automation & Process Improvement

• Leverage modern tools and techniques (e.g., Excel Power Query, SQL, Claude) to streamline and automate recurring analyses and scale reporting capacity across the organization

• Identify opportunities to streamline and automate data and reporting processes