Data Analyst Supervisor

State of Oklahoma; Oklahoma; On-site; USD 84,000 - 102,000; Full time

Benefits offered by this job

Benefit allowance

Insurance plans

FSAs

Retirement match

Paid vacation

Job summary

The Oklahoma Tax Commission is seeking a Data Analyst Supervisor to lead a team of data analysts, producing data-driven insights that inform strategic decisions across departments.

The role involves mentoring, training, and managing schedules, while overseeing data quality, governance, and the development of dashboards and reports for stakeholders at all levels.

Qualifications

• Lead, mentor, and guide a team of data analysts, providing regular feedback and conducting performance reviews.
• Provide training, evaluate performance, provide professional development, and manage an assigned team's schedules, time, and leave.
• Oversee the analysis of large datasets to extract meaningful insights that support strategic business decisions.

Responsibilities

• Lead, mentor, and guide a team of data analysts, providing regular feedback and conducting performance reviews.
• Provide training, evaluate performance, provide professional development, and manage an assigned team's schedules, time, and leave.
• Assign and prioritize tasks to ensure team deadlines and workloads are balanced.
• Foster a collaborative environment and promote continuous learning and professional development.
• Oversee the analysis of large datasets to extract meaningful insights that support strategic business decisions.
• Develop and implement data analysis processes, including statistical analysis, data mining, and predictive modeling.

Skills

Data leadership

Team mentoring

Data analysis

Statistical analysis

Data visualization

Python (libraries)

Tableau/Power BI/Qlik Sense

Tools

Tableau

Power BI

Qlik Sense

Python (Matplotlib/Seaborn)

Job description

Job Posting End Date

Refer to the date listed at the top of this posting, if available. Continuous if date is blank.

Job Posting Title

Data Analyst Supervisor

Agency

695 OKLAHOMA TAX COMMISSION

Supervisory Organization

INN Programs

Full/Part-Time

Full time

Job Type

Regular

Salary - $92,808

Job Description

Data Analyst Supervisor

We are unable to provide sponsorship

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!

Benefits

• 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.

Job Summary

The Data Analyst Supervisor will provide data-driven insights that will significantly impact strategic decision-making. This role will lead and mentor a team of data analysts, overseeing data-related projects and collaborating across departments. Responsibilities include assigning and reviewing work, providing training and professional development, and managing the team's schedule and leave.

Duties And Responsibilities

• Lead, mentor, and guide a team of data analysts, providing regular feedback and conducting performance reviews.
• Provide training, evaluate performance, provide professional development, and manage an assigned team's schedules, time, and leave.
• Assign and prioritize tasks to ensure team deadlines and workloads are balanced.
• Foster a collaborative environment and promote continuous learning and professional development.
• Oversee the analysis of large datasets to extract meaningful insights that support strategic business decisions.
• Develop and implement data analysis processes, including statistical analysis, data mining, and predictive modeling, adhering to industry best practices.
• Design and deliver clear, actionable reports and interactive dashboards for stakeholders at all levels of the organization.
• Ensure data accuracy, integrity, and compliance with applicable standards and regulations.
• Lead data analysis projects from inception to completion, coordinating with cross-functional teams as needed.
• Ensure alignment of data analysis efforts with business objectives and timelines.
• Identify opportunities for process improvements and streamline workflows.
• Oversee the development of a data warehouse to centralize and standardize tax data from multiple sources.
• Monitor data quality, identify discrepancies, and work with team members to resolve issues.
• Implement data validation techniques to ensure the accuracy and consistency of data used in analyses.
• Establish and maintain data governance protocols and standards.
• Act as a liaison between the data analysis team and other departments (e.g., human resources, tax policy, finance, operations).
• Present findings and insights to executives and key stakeholders clearly and concisely.
• Provide recommendations based on data analysis to guide decision-making and improve business performance.
• Oversee the use of data analysis tools and software, ensuring the team has access to the necessary resources and training.
• Stay current on industry trends, tools, and best practices in data analytics.
• Perform other duties as assigned.

Knowledge of

• Dimensional data modeling techniques and database design principles (normalization, indexing).
• Statistical analysis and data mining techniques.
• Project management methodologies (e.g., Agile, Waterfall) and their application in data analysis projects.
• Experience with data visualization tools such as Tableau, Power BI, Qlik Sense, and Python libraries (Matplotlib, Seaborn).
• Knowledge of