Data Analyst Supervisor

Data Analyst Supervisor

Agency:
Oklahoma Tax Commission

Position:
Full‑time, Regular

Salary: $92,808

Generous state‑paid benefit allowance to help cover insurance premiums; a wide choice of insurance plans with no pre‑existing condition exclusions; flexible spending accounts for health care and 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; a longevity bonus for years of service.

• Lead, mentor, and guide a team of data analysts, providing regular feedback and conducting performance reviews.
• Provide training, evaluate performance, professional development, and manage the team's schedules, time, and leave.
• Assign and prioritize tasks to balance team deadlines and workloads.
• Foster a collaborative environment and promote continuous learning and professional development.
• Oversee 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.
• 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.
• 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 necessary resources and training.
• Stay current on industry trends, tools, and best practices in data analytics.
• Perform other duties as assigned.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, Business Information Systems, or a related field.
• 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.

• Certifications 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.

• 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…