RESEARCH DATA SUPERVISOR I

Job Description and Duties Under the general direction from the Chief of the Program Monitoring, Evaluation, and Research Section, the Research Data Supervisor I (RDS I) is responsible for the planning and implementation of analytics projects, development of visually compelling and informative reports and dashboards, and ongoing assessment of member needs and interests in data products. As a working supervisor, the RDS I provides leadership, guidance, and direction to team members and participates in operational activities to achieve unit goals and objectives. Effective July 1, 2025, State employees are subject to a salary reduction of three percent in exchange for five hours per month of the Personal Leave. Please let us know how you heard about our position by taking this brief survey: https://www.research.net/r/ddsadmin You will find additional information about the job in the Duty Statement. Special Requirements The Statement of Qualifications (SOQ) must be numbered in the same order as the following areas, typed in 12-point Arial font, single spaced, and be no more than two pages in length. Applicants who fail to answer the questions or submit an SOQ may not be considered. • For SQL, Python, and Power BI and/or Tableau, identify your years of experience and level of proficiency (basic, intermediate, or advanced). Describe the most complex data analytics project in which you used SQL and/or Python, highlighting your technical contributions and the project's outcomes • Describe your experience leading a team of data analysts. Using a specific project as an example, explain your leadership approach, the key challenge you faced in managing the team or project, and how you addressed it. If you are using list eligibility from an on-line exam to qualify for this position, you MUST include with your application any documentation (i.e., copy of transcript, degree, license, etc.) to verify meeting the MQ’s or you may not be considered for the position. The MQs will be verified prior to interview and/or appointment. If it is determined that an applicant does not meet the MQs of the classification, the applicant may not be considered and withheld from the eligible list. Note: All foreign transcripts MUST be accompanied by a third-party academic credential evaluation. The link for the commission certification is: Commission Approved Foreign Transcript Evaluating Agencies If you are not basing your eligibility on an educational requirement, you may instead use the bypass option (when applying, select Choose/Upload for the required document and then select Bypass File). Please redact birthdate and social security number from degree/transcripts. Desirable Qualifications In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate: Knowledge of statistical and analytical skills; the ability to manipulate, analyze, and integrate complex datasets using programming languages such as SQL and Python; knowledge of relational databases, data warehouses, data pipeline development, and data integration processes, including extract, transform, and load (ETL); experience in Power BI, Tableau, or other data visualization tools, including the ability to develop interactive dashboards and visualizations to communicate complex information effectively; and familiarity with version control tools such as Git. Ability to think strategically and anticipate future challenges and opportunities; communicate ideas, expectations, and feedback clearly and concisely while fostering open and transparent communication; adapt to change and uncertainty; make sound decisions and solve problems effectively; and lead and manage projects to achieve organizational goals.