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Data Dimensions Jobs in Chicago, IL (NOW HIRING)

Prophecy Technologies

QA Automation Lead

Chicago, IL · On-site

... Data Dimensions and Data Flows. • Strong Analytical skills to understand complex business logic and calculations. • Expert in Performance Testing at program level • Expert in QA process ...

VeeRteq Solutions Inc.

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Define KPIs, measures, dimensions, and reporting hierarchies with business stakeholders. * Implement data governance, lineage, metadata management, and data quality frameworks. * Ensure compliance ...

ADDSOURCE

Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Define KPIs, measures, dimensions, and reporting hierarchies with business stakeholders. * Implement data governance, lineage, metadata management, and data quality frameworks. * Ensure compliance ...

Guidehouse

Sales & Marketing Data Manager

Chicago, IL · On-site

$135K - $225K/yr

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to ... Lead definition of key business metrics, calculations, and dimensions that enable consistent ...

Compass Health Center

Data Analyst

Chicago, IL

Our rapid growth continues to create a need for stronger and deeper analytic reporting in all dimensions. The Data Analyst will collaborate cross-functionally to provide data analysis and reporting.

Posted today

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.) * Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize ...

New

Green Thumb

Data Scientist

Chicago, IL · Hybrid

... other dimensions * Develop and test new model candidates against GTI's established backtesting ... Learn GTI's production data stack (Snowflake, dbt, Dagster) and the curated data models that ...

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.) * Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize ...

New

Cuesta Partners

Data Architect | US

Chicago, IL · On-site

$175K - $225K/yr

... slowly changing dimensions etc. * Normalization vs de-normalization trade-offs * Detailed ... Data as product * Design compromises & considerations * Know what exemplar deliverables look like

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.
What are popular job titles related to Data Dimensions jobs in Chicago, IL? For Data Dimensions jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Dimensions jobs in Chicago, IL look for? The top searched job categories for Data Dimensions jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Dimensions jobs? Cities near Chicago, IL with the most Data Dimensions job openings:
Data Dimensions jobs near you
Infographic showing various Data Dimensions job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

QA Automation Lead

Prophecy Technologies

Chicago, IL • On-site

Full-time

Posted 20 days ago

Job description

We are looking for an Global QA Lead who is self-motivated, creative, and proactive, to work successfully in a fast-paced environment including multiple platforms and architectures, diverse technologies, and Cloud environments.
The individual will work closely with various stakeholders throughout the SDLC, executing automated test iterations, tracking & reporting test results, troubleshooting and coordinating the bug fixes.
The individual should have a strong understanding of agile processes and the related Quality lifecycle and automation methodology.
Responsibilities:
• Advance product quality via testing innovations and process improvement.
• Collaborate with BAs, Architects & Developers in designing testable applications.
• Technical roadmaps & plans for implementing enterprise/program test strategies.
• Design & manage technical proof-of-concept and feasibility studies.
• Resolve technical issues, anticipate risks, and ensure timely management escalation.
• Utilize analytical skills in determining the root cause of defects & issues.
• Influence and communicate effectively with both technical & non-technical audiences.
• Analysis, optimization, improvement & maintenance of current test automation suites.
• Master enterprise/program high-level business workflows.
• Guarantee compliance to automation framework, standards & best practices.
• Facilitate automated, on-demand test automation metrics.
• Ensure automated tests are run early & often providing quick feedback to the team.
• Seek stakeholder feedback via test automation demos.
• Recruiting and building high-performance teams and dealing with multiple staffing needs.
• Resource management - devising DEV Plans, defining goals for team, performance feedback, year-end discussions, recommending promotions etc.
• Monitoring & reporting - goal based, execution Status & delivery reports on weekly, monthly & quarterly basis.
• Devising & implementing plans for leveraging & enhancing Automation - for regression, and system testing on release basis.
Required Skills:
• Expert in writing automated scripts using scripting languages like SQL, Java, Python and JavaScript
• Expert in designing and building automated testing framework using Behavior Driven Development and Test-Driven development tools like Cucumber, JBehave, Jasmine, Selenium.
• Expert in building and implementing CI/CD automation strategies for testing using tools like Jenkins, Bamboo, Azure DevOps
• Expert in designing automated test scripts testing Operational/Relational/OLAP databases and data warehouses.
• Expert in designing automated test scripts and validations for ETL/ELT solutions for multiple parallel processing pipelines.
• Expert in testing APIs and Micro-services for both UI layer and data layer for data extraction, preparations, and consumption modules.
• Good Understanding and familiarity with SQL databases (Azure SQL DB, Azure DW) , ETL tools like (talend, Azure Data Factory) and Cloud Storage tools like Azure Data Lake, Blob Storage.
• Minimum 7 years of experience in Financial Domain and at least 5 years of experience in Capital markets and 3 years of experience in Foreign Exchange (mandatory)
• Expert is Data Testing covering all Data Dimensions and Data Flows.
• Strong Analytical skills to understand complex business logic and calculations.
• Expert in Performance Testing at program level
• Expert in QA process, techniques & Methodologies.
• Expert in Forecasting, estimation & ROI analysis.
• Solid analytical and problem-solving skills.
• Both attention to detail & ability to rise above details to see broader implications & recommend strategic solutions.
• Proven interpersonal and communication skills with technical & business partners.
• Self-starter; Positive & adaptable; multi-task in a continually changing environment.
• Exposure to financial domain would be preferred.
• Azure Certification would be preferred.
Experience
• 14+ years of relevant experience

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