PRINCIPAL DATA ANALYST

Under general supervision, identifies captures, analyzes, and manages data contributing to better decision-making and planning; bridges complex datasets with executive decision-making and performs related duties as required.

Essential Duties:

• Works independently with varying teams to determine how data analysis can support organizational goals.

• Gathers data to support recommendations to address problems, with appropriate contingency plans.

• Develop recommendations for resolution of problems and reviews recommendations with the team.

• Understands and apply information and data analysis requirements.

• Turns information into insights to support and enable key decisions and business processes.

• Supports information governance in conjunction with Architects and Data Stewards.

• Designs, creates, and maintains relational databases and data systems of moderate to high complexity.

• Works with open datasets, including populating and extracting data from internal and public open datasets.

• Performs data analysis, including conceptualization, modeling, and presentation of data.

• Performs a variety of technical tasks related to capturing, managing, and analyzing data.

• Cleans and prunes data to discard irrelevant information.

• Designs reporting dashboards to translate data into an understandable illustrative format and fulfills ad hoc reporting requests.

• Develop procedures for data validation, analysis, and presentation.

• Performs initial data exploration (e.g., binning, pivoting, summarizing, and finding correlations).

• Implement statistical models to identify and reveal trends, patterns, and relationships in data to provide guidance to others for decision-making processes.

• Actively suggests analytics opportunities and best practices.

• Catalogs and enables access to resident and external data sources.

• Helps to streamline analytics to go from experimentation into production.

• Supports innovative efforts by driving creativity, acting with agility, and thinking outside current boundaries.

• May create data visualizations and reports to present to audiences using presentation layer tools.

Graduation from an accredited college with an Associate’s degree in Computer Science, Information Systems, Business, or a directly related field, plus two (2) years of data analysis work experience.

OR

Graduation from an accredited college with a Bachelor’s degree or higher in Computer Science, Information Systems, Business, or a directly related field, plus one (1) year of data analysis work experience.

OR

Four (4) years of work experience in data analysis., * 5 or more years of experience in data analytics.

• Experience with BI tools (Tableau, Power BI or AWS Quick sight).

• Experience developing and managing ETL pipelines.

• Strong understanding of Data Governance

• Advanced proficiency in SQL, Python, R, or Spark).

Hours: 8:00a.m. to 4:00p.m. (Flexible)

(Shift may vary due to the needs of the operation)