Demo

Data Analytics Specialist

Ohio Department of Commerce
Columbus, OH Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/29/2025

What we need :

Data Analytics Specialist

What we do :

At the Ohio Environmental Protection Agency, our primary goal is to protect the environment and public health. We do this by ensuring compliance with federal and state environmental laws.

What we need YOU to do :

Ohio EPA wants you to be our newest data analytics specialist with the Division of Drinking and Ground Waters (DDAGW) at our office in downtown Columbus.

Here we go.

In this position, you'll act as lead to manage, organize, and extract information from a variety of DDAGW data sources including biological and water databases.

We'll look for your technical expertise to oversee data quality assurance and control activities and assist with identifying new data management requirements for the division's information management systems. You'll collaborate with external contractors and the division's management and IT teams to identify and implement necessary enhancements to advance the division's programmatic goals.

You'll develop and support data visualization applications developed in Power Automate such as Metrics, Lead Service Line Inventories, ePlan Dashboard, etc., to identify data trends and relationships. You'll maintain information management documentation, develop and update related training materials, and provide software training and support for external customers.

Let's recap.

  • Act as DDAGW lead for managing, organizing, and extracting information from various data sources.
  • Support the division's Microsoft Power Apps, including the E-Drinking Water Reporting (eDWR) application.
  • Develop and support Power Automate data apps to identify data trends and relationships.
  • Assist with identifying new data management requirements for the division's information systems.
  • Oversee data quality assurance and control activities.
  • Collaborate with agency and division IT teams and external contractors to identify needed enhancements to support the division's programmatic goals.

Code this opportunity as a 'Career Move' and click to apply!

At the State of Ohio, we take care of the team that cares for Ohioans. We provide a variety of quality, competitive benefits to eligible full-time and part-time employees

  • For a list of all the State of Ohio Benefits, visit our Total Rewards website ! Our benefits package includes :
  • Medical Coverage
  • Free Dental, Vision and Basic Life Insurance premiums after completion of eligibility period
  • Paid time off, including vacation, personal, sick leave and 11 paid holidays per year
  • Childbirth, Adoption, and Foster Care leave
  • Education and Development Opportunities (Employee Development Funds, Public Service Loan Forgiveness, and more)
  • Public Retirement Systems ( such as OPERS, STRS, SERS, and HPRS ) & Optional Deferred Compensation ( Ohio Deferred Compensation )
  • Benefits eligibility is dependent on a number of factors. The Agency Contact listed above will be able to provide specific benefits information for this position.
  • Qualifications

    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, Computer Literacy, Critical Thinking, Customer Focus, Interpreting Data.

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