Data Analyst Supervisor

State of Oklahoma • Oklahoma City, OK

5d • Hybrid

About The Position

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. 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.

Requirements

• 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 data security and privacy best practices.
• Strong analytical and critical thinking skills, including identifying patterns, trends, and anomalies in data.
• Excellent written and verbal communication skills, including effectively presenting technical information to both technical and non-technical audiences.
• Proficiency in SQL and Python (including libraries like Pandas and Scikit-learn) for data analysis and manipulation.
• Demonstrates flexibility and adaptability in response to changing priorities and deadlines.
• Exceptional attention to detail and a commitment to maintaining high levels of accuracy in data analysis.
• Proven ability to work effectively in a team environment, including collaborating with colleagues from diverse backgrounds and skill sets.
• Strong problem-solving skills, including identifying, analyzing, and resolving complex data-related issues.
• Strong data storytelling skills to effectively synthesize complex data findings into clear, concise, and actionable insights for various stakeholders.
• Lead, manage, and mentor a team of data analysts, fostering a collaborative and supportive environment that promotes professional growth and development.
• Continuously learn and readily adapt to new data analysis tools, technologies, and methodologies.
• A bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, Business Information Systems or a related field; AND, five (5) years’ experience using SQL and Python for data analysis OR an equivalent combination of education and experience.
• Two (2) years of supervising experience is required.
• Possession and maintenance of a valid Oklahoma State Driver’s License is also required.

Nice To Haves

• Certifications in relevant areas such as Certified Analytics Professional (CAP) or Certified Associate in Analytics (CAA).
• Proven experience with cloud-based data platforms.
• Proven experience with Qlik analytics.
• Knowledge of machine learning algorithms.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager