Data Analytics Specialist - PN

Schedule: Full-time

BWC’s core hours of operation are Monday-Friday from 8:00am to 5:00pm, however, daily start/end times may vary based on operational need across BWC departments. Most positions perform work on-site at one of BWC’s seven offices across the state. BWC offers flex-time work schedules that allow an employee to start the day as early as 7:00am or as late as 8:30am. Flex-time schedules are based on operational need and require supervisor approval.

Internal only: Only current BWC employees will be considered for this position

What You’ll Be Doing:

• Research and analyze complex business problems by collaborating with subject matter experts, IT teams, and agency leadership to define priorities, data needs, and performance metrics.

• Extract, integrate, and validate data from multiple agency systems and business intelligence tools, ensuring accuracy and reliability through established data governance and testing practices (e.g., Python, SQL).

• Apply statistical and analytical techniques to identify trends, anomalies, and predictive patterns, and present findings through reports, visualizations, dashboards, and other analytic tools (e.g., Cognos, Tableau, Snowflake).

• Recommend actionable business solutions based on analytical insights to support agency goals such as program effectiveness, resource allocation, fraud detection, and quality improvement.

• Support and guide business partners and technical teams in interpreting and operationalizing analytic outputs, deploying dashboards, automated reports, and ad hoc analytics.

• Develop and maintain analytic documentation and best practices, contribute to repeatable analytic processes, and deliver basic training to peers and internal customers on tools, methods, and model interpretation.

48 mos. exp. in data analytics or statistical analysis or research methods.

-Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 30 mos. exp. in data analytics, statistical analysis, or research methods.

-Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 24 mos. exp. in data analytics, statistical analysis, or research methods.

-Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 12 mos. exp. in data analytics, statistical analysis, or research methods.

-Or 36 mos. exp as a Data Analytics Associate, 66930.

-Or equivalent of Minimum Class Qualifications For Employment noted above.

Job Skills: Data Analytics

Knowledge of employee training & development*, agency policies & procedures*, data analytics, statistical analysis, data visualization software.

Skill in Microsoft Office Suite, data analysis software, statistical analysis software (e.g., SAS, SPSS), business intelligence (BI) & data visualization tools (e.g. Tableau, PowerBI, Cognos), coding & reporting (e.g. Python, R).

Ability to acquire data from multiple sources, work with structured & unstructured data, understand somewhat abstract field of study, deal with many variables & determine specific action, use statistical analysis, use proper research methods in gathering data, develop complex reports, gather, collate & classify information about data, people or things.