1

Director Data Analyst Machine Learning Jobs in Aurora, IL

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting ... Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Explore AI and machine learning opportunities for sales prospecting, lead scoring, and forecasting ... Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and ...

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Familiarity with AI and machine learning concepts and an ability to explore how GenAI (e.g ...

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Familiarity with AI and machine learning concepts and an ability to explore how GenAI (e.g ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and validating model performance. • Adhere to data governance policies and procedures established by the MDM ...

We are seeking an analytical growth architect to bridge the gap between market reality, advanced ... Predictive Machine Learning & Advanced Data Engineering * Stochastic Risk Engineering & Code ...

Posted today

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and validating model performance. • Adhere to data governance policies and procedures established by the MDM ...

Strong understanding of statistical modeling, machine learning, predictive analytics, experimental ... Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health ...

Strong understanding of statistical modeling, machine learning, predictive analytics, experimental ... Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health ...

Showing results 21-40

Director Data Analyst Machine Learning information

See Aurora, IL salary details

$33.7K

$81.9K

$134.8K

How much do director data analyst machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director data analyst machine learning in Aurora, IL is $81,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What job categories do people searching Director Data Analyst Machine Learning jobs in Aurora, IL look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Director Data Analyst Machine Learning jobs?

Cities near Aurora, IL with the most Director Data Analyst Machine Learning job openings:

$75K - $95K/yr

Full-time

Medical, Dental, Vision

Posted 24 days ago


Job description

Position Summary:

NAR is seeking a Data Analyst to help deliver data-driven insights, analytics solutions, and AI-enabled products that support decision-making across the organization. This role focuses on working directly with business stakeholders to understand analytical requirements, transform complex and fragmented data into actionable information, and build scalable solutions that provide measurable business value. 

The Data Analyst will design and implement data preparation processes, perform advanced analysis, and develop applications and visualizations. They will make data and analysis accessible to non-technical audiences. The role works extensively within the Microsoft Azure and Microsoft Fabric ecosystems and involves close collaboration with data scientists, and business stakeholders in different parts of the organization. 

The successful candidate will contribute to data quality initiatives, AI-assisted analytics workflows, and the development of new solutions that leverage both traditional analytics and AI technologies. The ideal candidate is comfortable working across analytics, visualization, and application development disciplines, with a practical focus on delivering solutions that are reliable, scalable, and widely adopted by the business. 

Duties and Responsibilities:

  • Partner with business stakeholders and non-technical teams to gather requirements, identify opportunities, and deliver data-driven solutions 

  • Extract, transform, clean, and validate data from multiple internal and external sources to support analytics, reporting, and operational decision-making 

  • Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting 

  • Create dashboards that effectively communicate insights to business audiences using technologies such as Power BI, Streamlit, Django, and other frameworks 

  • Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects 

  • Participate in source control, deployment, and project management processes using tools such as Git and Jira 

  • Other duties, as assigned 

Qualifications:

  • Bachelor's degree in Computer Science or a closely related field. 

  • Minimum of 2+ years of professional experience in data analytics or a related technical role. 

  • Strong proficiency in SQL, including experience writing complex queries. 

  • Strong Python development skills, including working with notebooks, expertise with data analysis libraries (e.g., Pandas, NumPy, SciPy), and use of visualization libraries (e.g., Plotly, Matplotlib). 

  • Experience building dashboards using tools such as Power BI, Streamlit, or Django. 

  • Experience working with cloud-based platforms and services; Microsoft Azure and Microsoft Fabric experience preferred. 

  • Use of Git and use of project management systems such as Jira. 

  • Good grasp of basic statistical concepts. 

  • Ability to communicate complex technical concepts clearly and effectively to non-technical audiences. 

  • Ability to work independently with minimal supervision while managing multiple priorities and deadlines. 

  • Experience with AI, such as the use of AI-code generation, is a positive. 

  • Advanced Microsoft Excel skills for data analysis and reporting are preferred 

Compensation: $75,000 - $95,000 depending on office location

NAR provides comprehensive benefits including health/dental/vision insurance.
NAR is on a hybrid schedule and in the office 3 days a week.

Organizational Overview:

The National Association of REALTORS® (NAR) is a team of professionals dedicated to providing world-class service to approximately 1.5 million REALTORS® working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of real estate. As in every industry, our members’ value proposition is constantly being challenged by innovation.

It is our mission to empower REALTORS® as they preserve, protect and advance the right to real property for all. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options.