Data Analyst Supervisor

Oklahoma City - 123 Robert S Kerr Avenue, United States

Oklahoma State Government

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Job Posting Title

Data Analyst Supervisor

Agency

695 OKLAHOMA TAX COMMISSION

Supervisory Organization

Division Directors

Job Posting End Date (Continuous if Blank)

Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above.

Estimated Appointment End Date (Continuous if Blank)

Full/Part-Time

Full time

Job Type

Regular

Compensation

Job Description

Data Analyst Supervisor- Innovation

Salary Range- $70,000.00-$80,000.00

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

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

  • 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.

MINIMUM QUALIFICATIONS

  • A bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, Business Information Systems or a related field; PLUS three (3) years of experience using SQL and Python for data analysis, including two (2) years of supervising experience, is required.
  • OR an equivalent combination of education and experience.

PREFERENCE STATEMENT

Preference may be given to candidates who have one or more of the following:

  • 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.

PHYSICAL DEMANDS
Ability to sit and stand for extended periods of time. Exhibit manual dexterity and hand-eye coordination to operate a computer, keyboard, photocopier, telephone, calculator, and other office equipment. Ability to see and read a computer screen and printed material with or without vision aids. Ability to hear and understand speech at normal levels, with or without aids. Ability to communicate clearly. Physical ability to lift up to 15 pounds, bend, stoop, climb stairs, walk, and reach. Must use the proper manual handling equipment, including but not limited to dollies, carts, and lift team members. Duties are normally performed in an office environment with a moderate noise level.

SPECIAL REQUIREMENTS

Travel may be required for this position. Applicants must have reliable transportation and be willing and able to perform all job-related travel. Possession and maintenance of a valid Oklahoma State Driver’s License is also required.

Oklahoma Tax Commission’s normal work hours are Monday through Friday, 7:30am to 4:30pm.  This schedule may require minor flexibility based on the needs of the agency.

Telework may be required based on the needs of the agency, division, and section.  If applicable, applicant must be willing and able to work BOTH on-site and telework at an off-site location, generally in the applicant’s home.  Applicant must have a secure internet connection and a dedicated telephone (landline) or smart phone device during scheduled working hours.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice.

Equal Opportunity Employment

The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability.

Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub.

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Category: Analyst Jobs

Tags: Agile Business Analytics Computer Science Data analysis Data Analytics Data governance Data Mining Data quality Data visualization Data warehouse Driver’s license Finance Machine Learning Matplotlib Pandas Power BI Predictive modeling Privacy Python Qlik Scikit-learn Seaborn Security SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Gear Health care Insurance Salary bonus Transparency

Region: North America
Country: United States

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