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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong proficiency in SQL and Python for data processing and analysis, with a focus on data quality, validation, and visualization. Capable of managing end-to-end data readiness activities and collaborating with cross-functional teams to ensure reliable data delivery.
Highest-signal resume keywords
SQL Proficiency (Google BigQuery)Python Proficiency (Pandas)Data Validation and ReconciliationData Visualization (Looker Studio, Power BI, Tableau)Google Cloud Platform (GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData CleaningData PreprocessingData Quality AssessmentData Pipeline MonitoringData AutomationData ReportingData Pattern IdentificationETL/ELT FamiliarityWorkflow Automation
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsIndependent Workflow Management
Tools & Technologies
Google Cloud Storage (GCS)Looker StudioPower BITableauGitAI-Assisted Analytics
Industry Keywords
Healthcare Domain KnowledgeProvider DataCredentialingLicensing
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformPandasPythonSQLTableau
About the role
Key responsibilities & impact- Analyze large datasets and drive data-driven improvements
- Monitor data freshness, coverage, pipeline failures, and operational metrics; identify issues and coordinate resolutions
- Own end-to-end data readiness activities, identify coverage gaps, and ensure data quality standards are met before go-live
- Perform data validation, reconciliation, and quality assessments
- Investigate data issues, coordinate refreshes and corrective actions, and collaborate with cross-functional teams to resolve data gaps
- Build and maintain dashboards, quality scorecards, and operational reports to track key metrics
- Develop SQL- and Python-based workflows to automate data processing, validation, reporting, and recurring analysis
- Ensure reliable data delivery and successful business launches
Requirements
What you’ll need- Strong proficiency in SQL (Google BigQuery) and Python (Pandas)
- Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and Google Cloud Storage (GCS)
- Strong analytical and problem-solving skills, with the ability to identify data patterns, trends, anomalies, and root causes
- Experience with data cleaning, preprocessing, validation, and reconciliation
- Experience with data visualization tools such as Looker Studio, Power BI, or Tableau
- Strong communication skills and ability to independently manage analytical workflows
- Healthcare domain knowledge, particularly provider data, credentialing, or licensing (good to have)
- Familiarity with ETL/ELT pipelines, data ingestion, and workflow automation (good to have)
- Experience with Git, AI-assisted analytics, and automation tools (good to have)
Benefits
Comp & perks- 100% coverage of health, dental, and vision insurance premiums for employees
- Unlimited PTO for the US-based team, with at least two weeks off each year to recharge
- Health insurance for employees in India
- Statutory leave benefits in India
- Additional wellness (menstrual) leave for women in India