Data Analytics Specialist (Intermittent) at STATE OF OHIO in Columbus, Ohio

Job Description:

The Ohio Department of Job and Family Services' (ODJFS) mission is to improve the well-being of Ohio's workforce and families by promoting economic self-sufficiency and ensuring the safety of Ohio's most vulnerable citizens.

The Office of Unemployment Insurance Operations (OUIO) administers Ohio's unemployment insurance program, which provides short-term income to unemployed workers who lose their jobs through no fault of their own. It reduces the hardship felt by families during periods of temporary unemployment and bolsters the local economies by maintaining the purchasing power of the unemployed worker. Learn more about the office by visiting the ODJFS OUIO webpage at jfs.ohio.gov/ouc.

ODJFS is seeking qualified individuals to assist with a variety of initiatives to identify and prevent fraud related to the high volume of unemployment claims due to the COVID-19 pandemic. 

PLEASE READ THE FOLLOWING INFORMATION:

• This position is temporary, unclassified, and is not eligible for benefits.


• Although categorized as 'part-time', the hours for this position will be Monday through Friday, 8:00 a.m. to 5:00 p.m. with a 1-hour lunch (40-hours per week). At this time, the schedule is not negotiable.


• At this time, this position is working from home although you will initially have to come to an ODJFS facility in Columbus Ohio to pick up equipment and receive initial instructions. In the future, you may be assigned to work in an ODJFS facility rather than work from home.


• In order to do this job, you are required to provide your own internet access, due to working from home.


• There are multiple positions available.

Major Duties and Responsibilities

Under managerial direction, integrates data from multiple sources and systems, applies statistical analysis and data visualization techniques to identify data trends and relationships, and recommends actionable business solutions and insights impacting agency goals and objectives: 

• researches and identifies complex business problems and opportunities


• collaborates with business subject matter experts, IT staff, and agency leaders to define priorities, resources, and risks


• identifies relevant performance metrics


• extracts data from multiple sources and systems (e.g., SQL queries)


• identifies and catalogs appropriate data sources (e.g. agency data files; shared data lake; purchased databases)


• accesses databases and other source systems


• coordinates with business subject matter experts and IT staff in order to ensure validity and completeness of data models and transformations


• applies statistical analysis and visualization techniques to identify data trends and relationships


• utilizes analytics techniques (e.g. regression; correlation; cluster analysis; classification; data mining; machine learning; data visualization) to discover, confirm, and document associations, predictive models, and algorithms


• applies analytical results to address practical business problems and opportunities in a format accessible to non-technical staff and stakeholders


• provides guidance to business leaders regarding interpretation and applicability of findings in a business context (e.g., program effectiveness; resource allocation; utilization patterns; fraud detection)


• presents summary findings and recommendations to agency leaders


• operationalizes analytics processes


• collaborates with IT staff to select deployment methods


• establishes measurement and reporting of performance metrics


• identifies and documents best practices


• trains peers and business staff in use of analytics tools and techniques


• remains current with relevant innovations and industry direction


• collaborates with project managers to develop appropriate method of reporting data


• reviews business processes and makes recommendations for process improvements

Performs other related duties as assigned (e.g., operates personal computer to produce correspondence, reports, and other documents; provides general clerical assistance; travels to attend training and meetings as required; maintains logs, records, and files).

Candidate must have the following minimum qualifications. For further consideration, applicants must clearly identify how qualifications are met within the education and/or experience sections of the application.

• Completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field


• AND 12 months experience in data analytics, statistical analysis, or research methods.

• Completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field


• AND 24 months experience in data analytics, statistical analysis, or research methods.

• Completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field


• AND 30 months experience in data analytics, statistical analysis, or research methods.

• 48 months experience in data analytics or statistical analysis.

• Equivalent of Minimum Class Qualifications For Employment noted above.

Additional Preferred Qualifications

Training or experience in working with Structured Query Language (SQL) including running queries, building data warehouses, building or running ETL packages, report creation, and using a variety of Relational Database Management System (RDBMS).