ZipRecruiter

Log In

1

Weekend Data Transformation Analyst Jobs in Chicago, IL

TransUnion

Marketing Data Analyst

Chicago, IL · On-site

Analyze and resolve data quality, transformation, and integration issues across internal and external systems. * Partner with cross-functional teams including Product, Data Science, Engineering ...

TransUnion

Marketing Data Analyst

Chicago, IL · On-site

Analyze and resolve data quality, transformation, and integration issues across internal and external systems. * Partner with cross-functional teams including Product, Data Science, Engineering ...

Transunion

Marketing Data Analyst

Chicago, IL · On-site

Analyze and resolve data quality, transformation, and integration issues across internal and external systems. * Partner with cross-functional teams including Product, Data Science, Engineering ...

WorkNovas LLC

Senior Business Analyst

Chicago, IL · On-site

$95K - $123K/yr

Senior Business Analyst Experience: 10+ Years Location: Onsite/ Westchester, IL (Chicago Area ... Snowflake / Azure / AWS / Databricks exposure ERP modernization or data transformation programs ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... transformation of large volumes of data to make it accessible, reliable, and usable for analysis ... Must be able to work flexible hours, including weekends and evenings. * Must be able to learn new ...

previous page

Showing results 41-60

All JobsData Transformation Analyst JobsWeekend Data Transformation Analyst JobsWeekend Data Transformation Analyst Jobs in Chicago, IL

Weekend Data Transformation Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do weekend data transformation analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend data transformation analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Transformation Analyst vs Data Engineer?

AspectWeekend Data Transformation AnalystData Engineer
Primary FocusTransforming and cleaning data during weekends for reporting and analysisDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsData transformation, SQL, ETL tools, basic scriptingDatabase architecture, programming (Python, Java), cloud platforms
Work EnvironmentPart-time, weekend shifts, data teams in various industriesFull-time, tech or finance companies, data infrastructure teams
CertificationsSQL, ETL tools, possibly data analysis certificationsCloud certifications, programming, database management

The Weekend Data Transformation Analyst primarily focuses on transforming data during weekends to support reporting needs, often requiring SQL and ETL skills. In contrast, Data Engineers develop and maintain the data infrastructure, involving programming and system design. Both roles are essential in data teams but differ in scope, skills, and work hours.

What are the most commonly searched types of Data Transformation Analyst jobs in Chicago, IL?

The most popular types of Data Transformation Analyst jobs in Chicago, IL are:

Weekend Data Transformation Analyst jobs near you

Project Perseus \u007C Data Quality Analyst - Multilingual (English + Additional Languages) - (Human

Welo Data

Mundelein, IL

$38/hr

Full-time

Posted 2 days ago

New

Job description

Project Details

  • Job Title: Data Quality Analyst

  • Hiring Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston

  • Hours: Full-time, 40 hours per week

  • Employment Type: W2 Full-Time Employee

  • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)

  • Pay Rate: $38/hour

  • Contract Duration: 1-year contract with possibility of extension

  • Location Policy: 100% onsite position — remote work is not available. To be considered, candidates must be located in or able to commute to one of the target cities listed above.

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Support quality and execution across DLA teams, ensuring work meets defined standards at scale
  • Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
  • Act as the first line of support for DLAs — answering questions and helping interpret guidelines
  • Help DLAs navigate ambiguity and apply evolving instructions effectively
  • Support onboarding and training of new DLAs through hands-on guidance and coaching
  • Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
  • Identify patterns, recurring issues, and edge cases in both human and model outputs
  • Participate in calibrations, team discussions, and stakeholder syncs
  • Contribute to improving guidelines, processes, and overall team performance
  • Document findings and feedback in a clear, concise, and actionable way
What We’re Looking For
  • Language Requirements: Fluency in English plus two or more additional languages:
  • Primary Language (Must have at least one): French, Italian, Spanish, or German.
  • Secondary Language (Must have at least one): French, Italian, Spanish, German, Hindi, Portuguese, Russian, Polish, Turkish, or Vietnamese.

    • University degree (Bachelor’s or higher)

    • 2–4 years of experience in data annotation, content quality, QA, or related fields

    • Strong ability to interpret and apply complex guidelines with consistency

    • Excellent attention to detail with a high bar for quality

    • Ability to stay consistent while working with evolving guidelines and priorities

    • Experience in AI/ML data workflows or human-in-the-loop evaluation environments

    • Prior experience auditing or reviewing the work of others

    • Familiarity with safety, compliance, or policy-driven content evaluation

Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.