Job Description

Job Title: Senior Workday Consultant
Location: Northern Chicagoland Suburbs, IL – 3 days/week onsite – Local candidates only
Period: 9/1/2024 to 12/31/2024 – Strong potential for extension

Hours/Week: 40 hours 

Rate: $55-$65/hour + performance-based bonus

Contract Type: 1099, open to C2C (U.S. citizens only)

 
Scope of Services:

The Senior Workday Consultant will be responsible for a range of tasks including analytical reporting, mass loads, Excel proficiency, Workday reporting, data validation, and analytical skills. This role will involve creating ad-hoc reports, performing data analysis, and ensuring data accuracy. Additionally, the analyst will handle large data sets, manipulate data in Excel, and create reports within Workday. Data validation and quality control will be crucial aspects of this role, along with the ability to analyze data and make data-driven decisions. The analyst should also demonstrate the capability to learn and adapt to new systems, processes, and reporting requirements.

 
Role, Responsibilities, and Deliverables:

• Analytical Reporting: Create ad-hoc reports, perform data analysis, and validate data accuracy.
• Mass Loads: Handle large data sets (e.g., 50,000 employees) and perform mass loads.
• Excel Skills: Demonstrate proficiency in Excel, including data manipulation, reporting, and analysis.
• Workday Reporting: Create reports in Workday, including ad-hoc reporting and calculated fields.
• Data Validation: Validate data accuracy and perform quality control checks.
• Analytical Skills: Analyze data, identify trends, and make data-driven decisions.
• Adaptability: Learn and adapt to new systems, processes, and reporting requirements.

 
Experience:

• Bachelor's degree in Computer Science, Information Technology, Business Information Systems, or a related field.
• At least 3-5 years of experience in Workday reporting and analytical reporting.
• Workday certification a plus.
• Demonstrated proficiency in Excel and experience working with large data sets.
• Experience in data validation and quality control is preferred.
• Strong analytical skills and the ability to make data-driven decisions are essential.

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