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Data Analyst Supervisor

Job in Edmond, Oklahoma County, Oklahoma, 73034, USA
Listing for: Oklahoma Tourism and Recreation Department
Full Time position
Listed on 2026-07-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 92808 USD Yearly USD 92808.00 YEAR
Job Description & How to Apply Below

Job Posting Title

Data Analyst Supervisor

Agency

695 OKLAHOMA TAX COMMISSION

Supervisory Organization

INN Programs

Job Description

Data Analyst Supervisor

Status:
Full time, Regular

Salary: $92,808

No sponsorship will be provided.

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.
Complexity of Knowledge, Skills, and Abilities 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.
Skills in
  • 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.
Ability to
  • Demonstrate flexibility and adaptability in response to changing priorities and deadlines.
  • Show exceptional attention to detail and a commitment to maintaining high levels of accuracy in data analysis.
  • Work effectively in a team environment, including collaborating with colleagues from diverse backgrounds and skill sets.
  • Apply strong problem-solving skills, including identifying, analyzing, and resolving complex data-related issues.
  • Tell data stories effectively, synthesizing complex findings into clear, concise, and actionable insights for various…
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