Senior Data Analytics Specialist

About the role

The Office of Workforce Development (OWD) administers several federal workforce programs and oversees a network of local OhioMeansJobs centers, which provide free job training and other services for Ohioans looking for work and employers seeking workers. OWD also assists job seekers through OhioMeansJobs.com, an online job matching system that brings both employers and job seekers to one easy-to-use website.

Responsibilities

• Work with and on teams that track, analyze, and report data for several state and federal workforce programs, including Titles I and III of the Workforce Innovation and Opportunity Act, and the Comprehensive Case Management and Employment Program, among others.
• Assist your supervisor and program and project managers within the Office of Workforce Development with leading data analytics projects and providing technical assistance, data reports, insights, and expertise.
• Participate in collaborative data efforts for current and future projects within the ODJFS and with partners outside the ODJFS (e.g., Workforce Pell and the Workforce Inventory of Education and Training with the Ohio Department of Higher Education, the Workforce Data Quality Initiative with the Ohio Department of Education and Workforce, In Demand Jobs with the Governor’s Office of Workforce Transformation, the Ohio Longitudinal Data Archive, ad hoc data projects, and data support for new workforce grants).
• Be a subject matter expert in the Office of Workforce Development on federal and state laws, regulations, policies, and directives related to data governance, performance, and reporting systems.
• Provide internal stakeholders and leadership with programmatic data reports, analyses, and executive summaries as well as workforce performance and reporting-related program knowledge to provide policy and operational recommendations to support leadership decisions.

Requirements

• Advanced knowledge of data analytics, statistical methods, data science, data visualization principles, tools, and best practices.
• Integrating and analyzing data from multiple systems and platforms.
• Applying advanced statistical and analytical techniques (e.g., regression; correlation; cluster analysis; data quality; classification; data mining; machine learning; data visualization) to discover trends, validate findings, and support decision-making.
• Conducting data quality reviews to assess accuracy, completeness, and reliability.
• Knowledge of government systems and associated processes.
• Communicating complex information clearly to audiences of subject matter experts and non-subject matter experts alike.
• Problem solving, decision making, and process improvement.

Qualifications

• Option 1: 60 months of experience in data analytics, statistical analysis, or research methods, including 12 months of work experience in data analytics specified by the agency in the position description & job posting.
• Option 2: Associate degree in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field, plus 42 months of experience in data analytics, statistical analysis, or research methods, including 12 months of work experience in data analytics specified by the agency in the position description & job posting.
• Option 3: Bachelor's degree in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field, plus 36 months of experience in data analytics, statistical analysis, or research methods, including 12 months of work experience in data analytics specified by the agency in the position description & job posting.
• Option 4: Graduate degree in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field, plus 24 months of experience in data analytics, statistical analysis, or research methods, including 12 months of work experience in data analytics specified by the agency in the position description & job posting.
• Option 5: 12 months of experience as a Data Analytics Specialist, 66931, including 12 months of work experience in data analytics specified by the agency in the position description & job posting.

Skills

• Advanced knowledge of data analytics, statistical methods, data science, data visualization principles, tools, and best practices.
• Integrating and analyzing data from multiple systems and platforms.
• Applying advanced statistical and analytical techniques (e.g., regression; correlation; cluster analysis; data quality; classification; data mining; machine learning; data visualization) to discover trends, validate findings, and support decision-making.
• Conducting data quality reviews to assess accuracy, completeness, and reliability.
• Knowledge of government systems and associated processes.
• Communicating complex information clearly to audiences of subject matter experts and non-subject matter experts alike.
• Problem solving, decision making, and process improvement.

Benefits

• Full-time hours are between 7:00 a.m. and 6:00 p.m., Monday through Friday.
• In-state trainings and all-staff meetings occur approximately three to four times a year.
• Travel to out-of-state training or conferences may occur.

Pay

• This position is in the State of Ohio’s Pay Range 34. Starting salary is the minimum salary of that pay range (step 1, currently $38.01 per hour).
• Cost of Living Adjustments increase wages in these ranges each fiscal year.
• The current step progression wages are in the table below.

Pay Range 34 Step 1 Step 2 Step 3 Step 4 Step 5 Step 6 Step 7 Step 8 Step 9 Hourly $38.01 $39.86 $41.81 $43.90 $46.00 $48.28 $50.66 $53.13 $55.80 Annual $79,061 $82,909 $86,965 $91,312 $95,680 $100,422 $105,373 $110,510 $116,064

Schedule

Full-time. Standard workdays are Monday through Friday. Hours are between 7:00 a.m. and 6:00 p.m.

Location

Rhodes State Officer Tower - 30 E. Broad Street, Columbus, OH 43215

Application Tips

• Be sure to clearly describe how you meet the minimum qualifications outlined in this job posting.
• Information in attached resumes or cover letters must be entered into your application in the appropriate Work Experience or Education & Certification sections to be considered.