Senior Data Analyst

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

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Title: Senior Data Analyst

Duration: 6 Months

Location: Springfield, IL

Working Hours: 37.5 hours per week, with 7.5 hours per day.

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Position Overview

• Data analysis initiatives supporting the State Administrative Hearings division. The role focuses on extracting, analyzing, interpreting, and modeling case-related data to support operational planning, compliance oversight, and strategic decision-making.
• This position requires strong hands-on experience with SQL and Power BI, along with experience supporting data conversion or system modernization efforts within complex, regulated environments.

Key Responsibilities

• Extract, analyze, and interpret administrative hearings and case-related data using SQL or similar querying tools
• Utilize Power BI for structured data analysis, modeling, and executive reporting support (not dashboard-focused)
• Support or contribute to data conversion and system migration initiatives, including data mapping, reconciliation, and validation
• Ensure data integrity, accuracy, and compliance across hearings-related datasets
• Work with ETL processes to enable accurate data transformation and integration
• Identify trends and operational patterns related to caseloads, timelines, and hearing outcomes
• Provide analytical findings and actionable recommendations to executive leadership
• Collaborate with Information Systems and program stakeholders to define data requirements and improve data processes

Qualifications

• Bachelor's degree or equivalent experience.
• Minimum 5 years of experience in data analysis
• Experience working with State or public-sector data systems (Preferred)
• Strong proficiency in SQL for data extraction and analysis
• Experience using Power BI for data analysis and modeling
• Solid understanding of ETL processes and data transformation principles
• Experience performing data validation, reconciliation, and quality control
• Strong analytical and problem-solving skills
• Demonstrated leadership or project coordination experience

Preferred Qualifications

• Experience working on State government data conversion or system migration projects
• Experience working with legacy or mainframe-based data environments
• Familiarity with DB2 and QMF
• Proficiency in Python for data analysis or automation (a plus)

About us:

DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.

SQL, Data Validation, reconciliation, ETL processes, mainframe-based data environment, DB2 and QMF