Innovation Data Analyst

okgov; Oklahoma; On-site; USD 59,000 - 72,000; Full time

Benefits offered by this job

Comprehensive benefits package

Retirement savings plan match

Paid vacation and sick leave

11 paid holidays

Job summary

The Oklahoma Tax Commission is seeking an Innovation Data Analyst to collect, analyze, and interpret large datasets to support strategic decisions. You will collaborate with cross-functional teams to develop reports, dashboards, and data-driven insights that improve services and processes.

Responsibilities include prioritizing information needs with management, maintaining data quality, and presenting findings in clear visuals while supporting governance and IT systems enhancements.

Qualifications

• Experience analyzing large datasets and creating reports.
• Ability to collect, organize, and interpret data for decision-making.
• Strong written and verbal communication for business audiences.

Responsibilities

• Work with management to identify information needs and priorities.
• Collect and analyze large datasets to find trends and insights.
• Ensure data accuracy, consistency, and completeness.
• Develop reports, dashboards, and data analytics to improve decisions.
• Present findings clearly and create actionable visuals.
• Identify data quality issues and propose improvements.
• Support data governance and compliance requirements.
• Assist in data analysis process automation.

Skills

Analytical thinking

Critical thinking

Problem solving

Prioritization

Data storytelling

Communication

SQL writing

GitHub collaboration

Data modeling

Python

Tools

GitHub

SQL

Python

Job description

Innovation Data Analyst

Agency: 695 OKLAHOMA TAX COMMISSION

Supervisory Organization: Data Analytics & Governance

We are unable to provide sponsorship

Salary - $65,500

WHY YOU'LL LOVE IT HERE!

TRANSPARENCY. FAIRNESS. COMPLIANCE. The Oklahoma Tax Commission is committed to leading Oklahoma with unparalleled customer service. Our mission is to promote tax compliance through serving taxpayers with transparency and fairness in administration of the tax code and unparalleled customer service. Check out our About Us page to learn why we are passionate about tax compliance and believe it is the career for you!

There are perks to working for the OTC. We know that benefits matter, and that is why we offer a competitive benefits package for all eligible employees:

• Generous state-paid benefit allowance to help cover insurance premiums.
• A wide choice of insurance plans with no pre-existing condition exclusions or limitations.
• Flexible spending accounts for health care expenses and/or dependent care.
• A Retirement Savings Plan with a generous match.
• 15 days of paid vacation and 15 days of sick leave for full-time employees the first year.
• 11 paid holidays a year.
• Paid Maternity leave for eligible employees.
• Employee discounts with a variety of companies and venders.
• A Longevity Bonus for years of service.

The Data Analyst plays a key role in the Innovation Division, responsible for collecting, analyzing, and interpreting large data sets to support strategic business decisions. This position works closely with cross-functional teams to identify critical metrics, develop comprehensive reports, and produce clear, actionable visualizations. The Data Analyst contributes to the evaluation and enhancement of the agency's products, processes, and overall performance, with a focus on maintaining high standards, streamlining operations, and improving customer experience. Additionally, the role supports project management and organizational assessments, helping to optimize internal structures, business processes, and IT systems.

DUTIES AND RESPONSIBILITIES

• Work closely with management to prioritize business and information needs.
• Collect and analyze large datasets to identify trends, patterns, and insights.
• Ensure data accuracy, consistency, and completeness.
• Work closely with business teams to present data-driven insights and recommendations.
• Develop and implement reports, dashboards, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Interpret complex data and present findings in a clear and understandable way.
• Create visuals and dashboards to communicate data insights effectively.
• Identify data issues and inconsistencies and recommend solutions for improving data quality.
• Ensure compliance with data governance policies and industry regulations.
• Support decision making with data-driven insights and strategies.
• Assist in the development and automation of data analysis processes.
• Perform other job duties as assigned.

COMPLEXITY OF KNOWLEDGE, SKILLS, AND ABILITIES

Knowledge of

• Data processing hardware and software; of computer capabilities; of systems analysis and development; of coding and implementation; of project management and documentation.
• An in-depth understanding of organizational data flow and its use in management decision-making.
• An understanding of requirements gathering, data analysis, process specification, validation, and management practices.
• Data modeling, data mining, and segmentation techniques.
• Data visualization tools and best practices.

Skills in

• Analytical and systems thinking, critical thinking, and problem-solving.
• Prioritizing, scheduling, organizing, and allocating work with competing deadlines.
• Writing for business or technical audiences, presenting information, and negotiating.
• Collecting, organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy.
• Writing SQL queries and reports and presenting findings.
• Version control and working in a team environment within GitHub.
• Data modeling in SQL and/or Python.

Ability to

• Work independently and coordinate a wide variety of activities.
• Communicate effectively both orally and in writing.
• Interpret and apply policies and procedures.
• Create charts and graphs utilizing data visualization best practices.
• Clean and transform data sets for analysis and reporting.
• Solve complex problems using statistical analysis.
• Work effectively in a fast-paced and dynamic environment.

MINIMUM QUALIFICATIONS

Education and Experience