Senior Data Analytics Specialist

Office of Workforce Development

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

Learn more about the office by visiting the ODJFS OWD webpage.

What You Will Do

In this role as a senior data analytics specialist with the Ohio Department of Job and Family Services (ODJFS), you will work with and on teams that track, analyze, and report data for several state and federal workforce programs; e.g., Titles I and III of the Workforce Innovation and Opportunity Act, and the Comprehensive Case Management and Employment Program, among others.

These programs provide career services and training to job seekers, dislocated workers, and youths, and employer services to employers.

You will 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. You will 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).

You will 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. You will 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.

Example Tasks Include:

* Complete federal reports for multiple grants, including managing and cleaning very large data files with millions of participant records from various data sources

* Provide leadership, training, and mentorship to research and analytics colleagues and program staff

* Work with program leads, case management system vendor, state monitoring teams, and the Innovate Ohio Platform to validate and improve data quality and successful programmatic outcomes and assist in the design of state data collection instruments

* Assist in developing predictive and evaluative models to predict project, grant, and program outcomes and equitably measure performance of workforce programs

Recommended

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

* Knowledgement 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

Schedule:

Full-time

Hours:

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

Travel:

* 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.

PN(s):

The ideal candidate, at minimum, must have the following:

Option 1:

* 60 mos. exp. data…