Quality Data Analyst

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Quality Data Analyst – JLL

What this job involves: As a Quality Data Analyst at JLL, you will play a key role in safeguarding the accuracy, consistency, and reliability of JLL’s enterprise data assets. This role focuses on executing data stewardship and data quality initiatives that support informed business decisions across the organization. You will enrich, validate, and monitor company, property, and contact data using a combination of proprietary platforms, cloud-based technologies, and external data sources. By partnering closely with cross-functional stakeholders, you will help strengthen JLL’s data foundation while contributing to a collaborative, high-impact data culture that supports our clients and internal teams globally.

What your day-to-day will look like:

• Execute data stewardship activities to enrich, validate, and maintain company, property, and contact data across enterprise systems.

• Design, implement, and maintain data quality rules, validation checks, and monitoring processes.

• Write and optimize intermediate to advanced SQL queries for data extraction, transformation, and analysis.

• Use Azure Databricks and Python to perform large-scale data processing, profiling, and automated data quality checks.

• Perform data profiling, cleansing, and standardization to improve overall data integrity.

• Collaborate with cross-functional teams to identify, troubleshoot, and resolve data quality issues, following established escalation procedures.

• Document data lineage, quality metrics, and stewardship processes, and communicate insights to technical and non-technical stakeholders.

Required Qualifications:

• Bachelor’s degree in Business, Finance, Information Science, Computer Science, Data Science, Mathematics, Statistics, or a related field.

• Strong SQL skills, including experience with joins, subqueries, and data manipulation statements.

• Advanced Microsoft Excel proficiency, including pivot tables and lookup functions.

• Proven experience working with large datasets and supporting data quality or data management initiatives.

• Strong analytical, problem-solving, and attention-to-detail skills.

• Excellent communication and documentation skills, with the ability to translate business requirements into technical outcomes.

Preferred Qualifications:

• Experience with Azure Databricks, cloud-based data platforms, or Google Cloud Platform tools.

• 1–3 years of experience in data analysis, data management, or data stewardship roles.

• Knowledge of data governance frameworks, best practices, and Master Data Management concepts.

• Experience using business intelligence or reporting tools such as Power BI or Tableau.

• Familiarity with API integrations, data pipelines, and automated data quality solutions.

• Exposure to commercial real estate, corporate real estate, consulting, or cross-functional project environments.

Location: Chicago, IL

Salary: $40.86 - $45.67

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Estimated compensation for this position:

85,000.00 – 95,000.00 USD per year

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

On-site –Chicago, IL

If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements.  We’re interested in getting to know you and w