Principal Data Analyst
Gainwell Technologies
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $116,100 - $165,900 per year
Job Level
Lead
Tech Stack
Amazon RedshiftAWSPythonSQL
About the role
- Oversee data aggregation, transformation, and validation workflows to ensure accuracy, completeness, and consistency across analytic environments
- Lead end-to-end calculation, review, and reconciliation of key performance indicators (KPIs) and quality measures across multiple business domains
- Design reproducible data models, standardized calculation templates, and automated reporting pipelines using SQL, Python, and modern analytics platforms
- Define and enforce data validation checkpoints, version control, and business rules; maintain audit-ready documentation and data dictionaries
- Partner with business, engineering, and analytics teams to align on specifications, resolve discrepancies, and deliver data products that inform strategy
- Produce executive-level dashboards, trend reports, and variance analyses that identify key performance drivers and improvement opportunities
- Provide technical guidance, code reviews, and training for analysts and engineers to strengthen analytic consistency and capability across teams
Requirements
- 12+ years of experience in enterprise data analytics, reporting, or healthcare performance measurement
- Advanced proficiency in SQL, Python, and large-scale data platforms (e.g., AWS Redshift, Snowflake, Databricks, or similar)
- Strong experience in data validation, multi-source integration, and healthcare performance metric development
- Proven ability to communicate analytical findings to executive and technical audiences alike
Benefits
- generous, flexible vacation policy
- educational assistance
- comprehensive health benefits
- 401(k) employer match
- comprehensive leadership and technical development academies
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondata aggregationdata transformationdata validationdata modelingautomated reportingperformance metricsdata integrationdata analysis
Soft skills
communicationleadershipcollaborationtechnical guidancetraining