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LRS Consulting Services is seeking an experienced Data Quality Analyst for our client in Central Illinois. This is a 12-24 month contract-to-hire opportunity for the right person. Local candidates will be given preference.
Position Overview
We are seeking a Data Quality Analyst to support our Enterprise Data Warehouse (EDW) through a combination of:
- Data Quality: Profiling data, building quality rules, analyzing issues, and driving resolution.
- Data Governance: Supporting governance and catalog initiatives, partnering with data owners and stewards, and managing critical data elements.
- Business Analysis: Facilitating stakeholder discussions, gathering requirements, documenting business rules, and translating business needs into measurable data quality outcomes.
This is a highly collaborative role that requires equal parts technical expertise and stakeholder engagement.
We are looking for a candidate who has worked hands-on with data quality tools in a real-world data warehouse environment, possesses strong SQL and analytical skills, and enjoys working directly with business users. Success in this role requires curiosity, persistence, strong communication skills, and the ability to drive issues from identification through resolution.
Key Responsibilities
- Serve as the data quality representative within EDW Agile teams and Azure DevOps.
- Partner with data owners, stewards, and engineers to define Critical Data Elements (CDEs) and quality requirements.
- Profile source and warehouse data for completeness, validity, uniqueness, freshness, drift, and volume anomalies.
- Develop, maintain, and monitor data quality rules, thresholds, scorecards, and exception management processes.
- Perform source-to-target reconciliation, data validation, and UAT support.
- Investigate data issues, conduct root cause analysis, and coordinate resolution across business and technical teams.
- Support implementation and administration of data governance and catalog platforms.
- Maintain business glossaries, metadata, lineage, ownership, and stewardship documentation.
- Facilitate workshops and working sessions with business stakeholders.
- Translate business definitions into measurable data quality rules.
- Deliver training and ongoing support for data quality and governance tools.
- Develop governance, quality, and process documentation.
- 3+ years of hands-on experience in Data Quality, Data Governance, or Data Warehouse Analytics.
- Strong SQL skills including data validation, reconciliation, root cause analysis, and complex querying.
- Experience with enterprise data warehouse environments.
- Experience using data quality platforms such as:
- Collibra Data Quality (OwlDQ)
- Informatica Data Quality
- Ataccama
- Precisely
- Soda
- Great Expectations
- Monte Carlo
- Similar tools
- Experience with source-to-target validation and data reconciliation.
- Working knowledge of data governance/catalog platforms such as:
- Collibra
- Alation
- Atlan
- Microsoft Purview
- OvalEdge
- Informatica
- Zeenea
- Experience working directly with business stakeholders to gather requirements and facilitate workshops.
- Strong written and verbal communication skills.
- Insurance or financial services experience.
- Experience with policy, customer, claims, billing, quote, enrollment, or related insurance data.
- Experience with Snowflake, SQL Server, and modern cloud data platforms.
- Familiarity with dbt, Bronze/Silver/Gold architectures, Power BI, Azure DevOps, Git, and YAML.
- Experience implementing data governance or catalog solutions.
- Python scripting and automation experience.
- Experience with data classification, masking, and privacy compliance requirements.
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.
The base range for this contract position is $30 - $60 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 US 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 will receive consideration for employment without regard to 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.