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

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)

Analyst

Key skills