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Tech Stack
Tools & technologiesETLNumpyPandasPySparkPythonSQLTableau
About the role
Key responsibilities & impact- Perform end-to-end data processes, including data collection, curation, analysis, and visualization.
- Develop, automate, and optimize data pipelines to transform raw data into actionable insights.
- Perform data quality checks to ensure accuracy and reliability of the data.
- Write and maintain scripts/macros in Python to support data analytics processes.
- Generate and execute database DDL (Data Definition Language) and DML (Data Manipulation Language) operations.
- Conduct statistical analyses to identify data patterns, outliers or inconsistencies across the data set.
- Collaborate with cross-functional teams to gather insights, refine requirements, and align product goals with team efforts.
- Participate in Agile sprints, owning user stories, backlog items, and deliverables.
- Support investigations and continuous improvement initiatives by leveraging digital thread and enterprise data resources.
- Prepare technical documentation, presentations, and reports to effectively communicate insights and recommendations to both technical and non-technical audiences.
- May require occasionally travel domestically and/or internationally to support project requirements.
- Perform other duties as required.
Requirements
What you’ll need- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years prior relevant experience or an Advanced Degree in a related field.
- Demonstrated professional experience communicating in English (verbal and written).
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field preferred.
- Hands-on experience with Python for data analysis (e.g., NumPy, Pandas, PySpark).
- Proficiency in extracting, transforming, and loading (ETL) data from various sources.
- Intermediate experience with SQL and relational databases for querying and data manipulation.
- Experience in aerospace, defense, or related industry preferred.
- Experience working in Agile teams and familiarity with Agile methodologies.
- Expertise in building data pipelines and automating analytics processes.
- Proficiency with data visualization tools such as Tableau or similar software.
- Familiarity with ontology-based modeling of business domains and enterprise data architecture.
- Knowledge of statistical methods and machine learning techniques.
Benefits
Comp & perks- Medical, dental, and vision insurance
- Three weeks of vacation for newly hired employees
- Generous 401(k) plan that includes employer matching funds
- Participation in the Employee Scholar Program (ESP)
- Life insurance and disability coverage
- Employee Assistance Plan, including up to 8 free counseling sessions.
- And more!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonETLSQLData Definition LanguageData Manipulation LanguageNumPyPandasPySparkdata visualizationstatistical analysis
Soft Skills
communicationcollaborationproblem-solvingadaptabilitytechnical documentation