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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL and Python for data extraction, cleaning, and analysis, with a strong foundation in statistical modeling and data visualization. Experienced in using Databricks and AWS QuickSight to develop analytical workflows and present findings effectively.
Highest-signal resume keywords
SQL Data AnalysisPython Data AnalysisDatabricks DevelopmentAWS QuickSight VisualizationStatistical Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonStatistical ModelingData PreparationExploratory Data AnalysisPostgreSQLData VisualizationPandasNumPyScikit-learn
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
DatabricksAWS QuickSightGitCI/CDAgile Development
Certifications & Qualifications
Public Trust Clearance
Industry Keywords
Data GovernanceData QualityResponsible AIHealth DataPublic Sector Data
Tech Stack
Tools & technologiesAWSCloudNumpyPandasPostgresPySparkPythonScikit-LearnSparkSQLTypeScript
About the role
Key responsibilities & impact- Use SQL and Python to extract, clean, transform, and analyze structured data from PostgreSQL and other approved sources
- Perform exploratory data analysis to identify patterns, trends, anomalies, and data-quality issues
- Assist with development, testing, and documentation of statistical analyses, machine-learning models, and analytical workflows
- Develop and support notebooks and repeatable analytical workflows in Databricks
- Create and maintain visualizations, datasets, and reports for DataConnect using AWS QuickSight
- Validate analytical outputs and document assumptions, methods, limitations, and results
- Partner with data engineers to define data needs, resolve quality issues, and improve analytical datasets
- Translate business questions into measurable analyses with guidance from senior team members and stakeholders
- Write reusable, version-controlled code and basic unit tests for analytical functions and data transformations
- Present findings through written summaries, visualizations, and team demonstrations
- Follow standards for data privacy, security, governance, and responsible data use
- Participate in Agile planning, refinement, peer reviews, and continuous learning activities
- Perform other duties as assigned
Requirements
What you’ll need- Bachelor's degree
- 2+ years of experience using Python for data analysis, data preparation, and statistical modeling
- Ability to obtain and maintain a Public Trust clearance
- Must reside and be authorized to work in the United States
- Must have lived in the United States for three full years out of the last five years
- Bachelor's degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field
- Foundational SQL skills, including joins, aggregations, filtering, and data validation
- Understanding of core statistics, data preparation, exploratory analysis, and model-evaluation concepts
- Experience with PostgreSQL or another relational database platform
- Experience using Databricks, Spark, notebooks, or cloud-based analytics platforms
- Experience creating data visualizations or dashboards with AWS QuickSight or a comparable business-intelligence tool
- Experience with Python data-science libraries such as pandas, NumPy, scikit-learn, or PySpark
- Familiarity with TypeScript
- Familiarity with Git, code reviews, unit testing, CI/CD, or Agile development practices
- Exposure to data governance, metadata, data quality, privacy, or responsible AI practices
- Experience working with health, public-sector, or other regulated data environments
Benefits
Comp & perks- Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
- Equal opportunity employment
- Benefits information provided under the Transparency in Coverage Act
