Data Quality Jobs in Chicago
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Search Results - Data Quality Jobs in Chicago
Motion RecruitmentChicago
on business impact
• Clear written communication skills
• Strong written communication skills for documenting issues and explaining impact to non technical stakeholders
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Desired Skills & Experience
• Experience with data quality checks or monitoring...
ProcDNAChicago
of data from various sources, generating actionable insights and creating high-quality data repositories for informed decision-making.
• Solution Development: Collaborate with senior team members to design and implement data-driven solutions, translating...
esrhealthcareChicagojobvertise.com
and patterns.
Collaborate with stakeholders to understand business requirements.
Develop reports and visualizations using tools like Excel, Tableau, or Power BI.
Ensure data quality and integrity through validation processes.
About you: 2+ years of experience...
The Judge GroupChicago
Build recurring and ad hoc reports, dashboards, and scorecards
• Conduct basic trend analysis and identify data quality issues
• Support metric tracking, operational reporting, and documentation
• Create reports and documentation using Excel, Word...
Chicagoicims.com
decision-making
• Continuously improve data processes, tools, and governance to enhance efficiency and data quality
Qualifications:
• Proven experience in data management, analytics, or related roles
• Degree in Data Science, Information Systems...
AdyenChicagoappcast.io
with cross-functional teams, operationalize experimentation, and drive data quality as you establish analytics standards. The position emphasizes a strategic approach to product performance and offers a competitive salary range between $258,500 - $375,600...
Chicagoicims.com
with regulations such as the Sarbanes-Oxley Act (SOX) and the Dodd-Frank Act to mitigate legal risks
• In collaboration with DG, implement practices focusing on data quality, validation, and reconciliation to maintain the integrity of financial information...
EDPChicago
standards, and common support issues
• Build relationships with field leaders, Accounting, IT, and existing vendors to understand where systems help — and where they slow people down
• Audit current data quality in Cargas (customers, tanks, pricing...
Newcastle Associates, Inc.Chicagojobvertise.com
Experience with data architecture
• Bonus points if you have:
• Knowledge of data governance and data quality tools.
• Some background in machine learning workflows.
• Familiarity with other clouds like AWS or GCP.
Why Youll Love It Here
Youll play...
The Mather Group, LLCChicago
and resolve risks to data quality.
• Assist in M&A integration, including data migration and system training.
• Generate complex reports for transparency, decision-making, and operational improvements.
• Ensure accurate fee calculations, billing, and quarterly...
Chicagoandersen.com
and branch strategies for production data models.
• Architect end-to-end pipeline systems from raw ingestion through semantic layer, connecting 10+ source systems with observable data quality and documented lineage using Transforms and Pipeline Builder.
• Own...
Chicagoreyesfleet.com
data quality, and compliance with company, state, and federal standards, including DOT and OSHA regulations
• Utilize AssetWorks to manage and track fleet assets, ensuring accurate record-keeping, maintenance scheduling, and data analysis to improve...
Chicagotiptopjob.com
and AR modules within the ERP system (SAP) and other systems, including vendor master, customer master, and transactional records
• Establish and enforce data quality standards, naming conventions, and audit controls to ensure completeness, accuracy...
HDMZChicagotrinethire.com
scalability, enabling the analytics and strategy teams to generate reliable, high-quality client insights.
This position oversees the agency’s marketing data pipeline, including Funnel.io (data aggregation and warehouse layer), Google Looker Studio (reporting...
Tiger Analytics Inc.Chicagoworkable.com
to validate feasibility, perform exploratory data analysis (EDA), and identify data quality issues before they hit the development cycle.
• Program Orchestration: Manage the end-to-end AI lifecycle, from performing cost benefit analysis to execution ensuring...
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