Innovation Data Analyst: Insights & Dashboards

State-of-Oklahoma

Oklahoma

On-site

USD 56,000 - 75,000

Full time

14 days+
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Job summary

The Oklahoma Tax Commission seeks an Innovation Data Analyst to collect, analyze, and interpret large data sets to support strategic decisions within the Data Analytics & Governance division. You will collaborate with cross-functional teams to deliver clear data insights and actionable visualizations to improve processes and customer experience.

Ideal candidates have a bachelor’s in business administration or information systems with at least two years of statistical modeling or data analytics

Qualifications

  • Bachelor’s degree in business administration, information systems, or related field with two years in statistical modeling and/or data analytics.
  • Equivalents accepted if accompanied by relevant experience in data analytics.
  • Familiarity with Agile and Lean methodologies; experience with modern analytics tools is a plus.

Responsibilities

  • Collect and analyze large datasets to identify trends, patterns, and insights.
  • Develop reports, dashboards, and data collection systems to optimize analytics.
  • Create visuals to communicate insights and inform decision-making.
  • Ensure data quality and governance compliance across projects.
  • Collaborate with cross-functional teams to translate data into actionable recommendations.
  • Support automation of data analysis processes and provide data-driven strategy support.

Skills

Statistical modeling
Data analytics
Agile methodologies
Lean methodologies

Education

Bachelor's degree in business administration or information systems

Tools

Qlik Analytics
DBT
Snowflake
Google BigQuery

Job description

The Oklahoma Tax Commission seeks an Innovation Data Analyst to collect, analyze, and interpret large data sets to support strategic decisions within the Data Analytics & Governance division. You will collaborate with cross-functional teams to deliver clear data insights and actionable visualizations to improve processes and customer experience.

Ideal candidates have a bachelor’s in business administration or information systems with at least two years of statistical modeling or data analytics

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