Data Analytics Specialist

Schedule: Full-time

The Ohio Department of Children and Youth (DCY) is seeking a skilled and detail-oriented Data Analytics Specialist to support the Early Care & Education Services (EC&ES) program. This role is responsible for extracting, analyzing, and interpreting data from multiple systems to support decision-making, improve program performance, fulfill reporting requirements, and inform funding and staffing recommendations.

Key Responsibilities:

Extract and analyze data from systems containing EC&ES data (Ohio Child Licensing and Quality System [OCLQS], Time, Attendance, and Payment [TAP] system, Ohio Benefits/Self Service Reporting [OB/SSR], Child Care DataMart), Innovate Ohio Platform (IOP), and other databases using SQL, Excel, and statistical software.

Establish, measure, and report performance metrics to inform program goals and outcomes.

Coordinate with EC&ES program and IT staff to ensure data integrity, completeness, and security.

Apply statistical analysis, data visualization, and analytical techniques (e.g., regression, correlation, classification) to uncover trends and relationships.

Monitor and analyze data to predict trends and support budget and staffing recommendations.

Fulfill federal and state reporting requirements for the programs included in EC&ES.

Respond to ad hoc and recurring internal/external data requests and produce recurring reports (e.g., monthly and cumulative counts, budget allocation data).

Provide program technical assistance to IT professionals in developing scope and requirements outlined in system requirements document and/or review design documents created by IT professionals.

Develop, recommend, and test performance criteria and test case scenarios for data related concerns.

Create and present reports using MS Office, Tableau, RedCap, and other tools.

Advise on data collection methodology and interpretive best practices for internal and external stakeholders.

Translate complex data findings into clear, actionable insights for non-technical audiences and senior leadership.

Train colleagues on analytics tools and methodologies; document best practices and operationalize analytics processes.

Stay current with industry trends, tools, and technologies relevant to data analytics.

Perform other duties as assigned, including support for administrative functions.

Pay Information

Unless required by legislation or union contract, starting salary will be step 1 of the salary range associated with this position. New hires advance to the next step in the range after 6 months and annually thereafter. Based on collective bargaining and legislative activity, there may be cost of living increases awarded annually. Additional longevity supplements begin after 5 years. The current wage progression for this position is in the table below.

Months of Employment

At Hire

6 months

18 months

30 months

42 months

54 Months

66 Months

78 Months

90 Months

Pay Range

Step 1

Step 2

Step 3

Step 4

Step 5

Step 6

Step 7

Step 8

Step 9

OCSEA 33

Hourly

$33.52

$35.15

$36.90

$38.70

$40.59

$42.62

$44.66

$46.87

$49.18

Annual

$69,722.00

$73,112.00

$76,752.00

$80,496.00

$84,427.00

$88,650.00

$92,893.00

$97,490.00

$102,294.00

Background Check Information

The final candidate selected for the position will be required to undergo a criminal background check. Criminal convictions do not necessarily preclude an applicant from consideration for a position. An individual assessment of an applicant's prior criminal convictions will be made before excluding an applicant from consideration.

Status of posted positions

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48 mos. exp. in data analytics or statistical analysis or research methods.

-Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 30 mos. exp. in data analytics, statistical analysis, or research methods.

-Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 24 mos. exp. in data analytics, statistical analysis, or research methods.

-Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 12 mos. exp. in data analytics, statistical analysis, or research methods.

-Or 36 mos. exp as a Data Analytics Associate, 66930.

-Or equivalent of Minimum Class Qualifications For Employment noted above.