Careers

Looking for more than just another assignment? We're looking for you! This isn't just another contract opportunity, but a chance to play a key role in enterprise data and analytics initiatives for a leading organization in the insurance industry.

LRS Consulting Services is seeking a Data Business Analyst for a 12-month contract opportunity with our client in Central Illinois.

If you're that candidate, this opportunity is made for you!

Applicant Requirements

• Must have 4+ years of experience with the following:
• IT Business Analyst experience supporting enterprise data, analytics, reporting, and data modernization initiatives.
• Experience eliciting, documenting, validating, and reviewing business and data requirements for completeness and accuracy.
• Experience analyzing complex business and data-related problems and recommending solutions.
• Experience analyzing business processes and identifying opportunities for process improvement and operational efficiencies.
• Experience performing data analysis, data profiling, data mapping, and data quality assessments.
• Experience developing process documentation, business requirements, business rules, data lineage documentation, and source-to-target mappings.
• Experience analyzing root causes of business or data issues and assisting in defining and implementing solutions.
• Experience collaborating with business stakeholders, data engineers, architects, developers, and QA teams in an enterprise environment.
• Strong understanding of data warehousing, data lakes, ETL/ELT processes, and enterprise reporting solutions.
• 3+ years of experience working with Snowflake or similar enterprise data platforms, including Databricks, Azure Synapse, Amazon Redshift, Teradata, or comparable technologies.
• Strong SQL skills with the ability to analyze, validate, and reconcile large datasets.
• Experience supporting the quality assurance process by creating or reviewing test plans, test cases, test results, and data validation activities.
• Experience supporting User Acceptance Testing (UAT) and validating data transformations and reporting outputs.

Highly Desired

• 2+ years of experience within the Insurance domain.
• Experience working with insurance data related to policy administration, enrollment, eligibility, billing, claims, underwriting, commissions, or reporting.
• Experience supporting insurance data warehouse, cloud migration, analytics, reporting, or data modernization initiatives.
• Additional Requirements

Candidate must be able to effectively communicate in English (written and verbal).
Candidate must have permanent authorization to work in the USA for any employer.

To apply, please submit your resume to hropp@LRS.com. Visit us online at www.LRS.com.

The base range for this position is $30 - $55 per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all U.S. locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status, or protected veteran status.

In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@LRS.com with any questions.