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About the role
- Work in collaboration with a team to support the development, enhancement, and maintenance of multiple datasets
- Evaluate datasets for consistency, completeness, accuracy, and reasonableness
- Interact with stakeholders and other teams to obtain data requirements for new and existing applications
- Generate qualitative/quantitative reports that communicate the key takeaways in an easy-to-understand manner
- Develop process improvements for data management activities
- Perform data analysis using statistical tools
- Generate data reports periodically for stakeholders
- Address any issues, questions, and problems in an accurate and timely manner
- Perform data cleansing and harmonizing to enable analysts to perform statistical analysis
- Audit data regularly and ensure data integrity
Requirements
- 2+ years of relevant data management/software programming experience
- Knowledge of statistical data analysis tools such as R & Python, SQL, Excel, and VBA is a must, and SAS is nice to have
- Experience in Big Data Analysis with Hadoop, Hive, Spark, etc., is a plus
- Exposure to cloud-based data environments such as AWS, Google Cloud Platform (GCP), or Azure - particularly in working with data warehouses, analytics, or ETL pipelines is highly desirable
- Bachelor’s Degree (computer science, engineering, or other technical disciplines)
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data managementdata analysisstatistical analysisdata cleansingdata harmonizingRPythonSQLExcelVBA
Soft Skills
collaborationcommunicationproblem-solvingattention to detailstakeholder interactionprocess improvementreport generationtimeliness