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Data Analytics Supervisor Jobs in Chicago, IL (NOW HIRING)

Lead Data Scientist

Chicago, IL · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... supervisor. Benefits: Pursuit Aerospace also offers a variety of benefits, including health and ...

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... supervisor. Benefits: Pursuit Aerospace also offers a variety of benefits, including health and ...

Sr. Financial Analyst

Rosemont, IL · On-site

$90K - $120K/yr

Position: Sr. Financial Analyst Supervisor: Sr. Manager FPA, Culligan Retail North America Location ... Other responsibilities include maintaining standardized data sets and preparing ad hoc analyses.

... master data management and data tools. * 1 year required, 2 years preferred of supervisory ... Ability to identify, research and analyze information across business units is required.

Account Supervisor

Chicago, IL · On-site

$76 - $113/hr

We provide next-generation creative and media services, enterprise solutions and data analytics ... The Account Supervisor works with our clients to plan, execute, manage and analyze their digital ...

We provide next-generation creative and media services, enterprise solutions and data analytics ... The Account Supervisor works with our clients to plan, execute, manage and analyze their digital ...

We provide next-generation creative and media services, enterprise solutions and data analytics ... The Account Supervisor works with our clients to plan, execute, manage and analyze their digital ...

We provide next-generation creative and media services, enterprise solutions and data analytics ... The Account Supervisor works with our clients to plan, execute, manage and analyze their digital ...

Senior Data Engineer Con II

Chicago, IL · On-site

$109K - $148K/yr

Experience supporting analytical, reporting, or machine learning use cases. Supervisory Responsibilities * This job does not have supervisory duties. Skills Apache Spark, Data Engineering, Python ...

Showing results 41-60

Data Analytics Supervisor information

See Chicago, IL salary details

$31.9K

$100.1K

$177.2K

How much do data analytics supervisor jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analytics supervisor in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a data analytics supervisor do?

A Data Analytics Supervisor oversees a team of data analysts, ensuring they collect, process, and analyze data effectively to support business decisions. They are responsible for managing projects, setting goals, and providing technical guidance to their team. Additionally, they collaborate with other departments to identify data needs, develop strategies, and present insights to leadership. The role requires strong analytical, communication, and leadership skills.

What are the key skills and qualifications needed to thrive as a data analytics supervisor?

To thrive as a Data Analytics Supervisor, you need strong analytical abilities, leadership experience, proficiency in statistical analysis, and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, R, and business intelligence platforms (e.g., Tableau, Power BI) is typically required, along with experience managing data projects and teams. Excellent communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are crucial for translating data insights into actionable strategies, guiding teams effectively, and ensuring the organization's data-driven decision-making success.

How does a data analytics supervisor typically collaborate with cross-functional teams within an organization?

A Data Analytics Supervisor often works closely with departments such as marketing, finance, operations, and IT to identify analytical needs and deliver actionable insights. They facilitate meetings to understand business objectives, translate requirements into data-driven solutions, and ensure that analytics projects align with broader organizational goals. Effective communication and the ability to translate complex data findings into clear, actionable recommendations are critical for fostering strong interdepartmental collaboration.

What is the difference between Data Analytics Supervisor vs Data Analyst?

AspectData Analytics SupervisorData Analyst
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with managementPerforms data analysis, reports findings, supports decision-making
Employer & Industry UsageUsed across industries like finance, healthcare, tech; common in organizations with analytics teamsFound in similar industries; often entry to mid-level role supporting analytics projects

The main difference is that Data Analytics Supervisors oversee teams and manage projects, while Data Analysts focus on analyzing data and generating reports. Supervisors typically have more experience and leadership responsibilities, whereas Data Analysts are more hands-on with data processing and analysis tasks.

What is the role of a data analytics supervisor?

A data analytics supervisor oversees data analysis teams, manages data collection and interpretation, and ensures accurate reporting to support business decisions. They often use tools like SQL, Excel, and data visualization software, and require strong leadership and analytical skills. The role involves coordinating projects, maintaining data quality, and implementing best practices in data management.

What are popular job titles related to Data Analytics Supervisor jobs in Chicago, IL?

For Data Analytics Supervisor jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Supervisor jobs in Chicago, IL look for?

The top searched job categories for Data Analytics Supervisor jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Analytics Supervisor jobs?

Cities near Chicago, IL with the most Data Analytics Supervisor job openings:

Infographic showing various Data Analytics Supervisor job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 17% Hybrid, and 18% Remote job distribution, with an average salary of $100,073 per year, or $48.1 per hour.

Senior Manager - Operations Excellence and Analytics

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 6 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Description
At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they're well taken care of and ready to get our customers to their desired destinations. If you're ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.
Job Overview and Responsibilities
This Senior Manager will add quantitative sophistication to business decisions by turning data into information and information into insight. This person will also partner with business owners to pursue analytical opportunities within maintenance planning, supply chain, aircraft health monitoring, aircraft engineering, maintenance execution, and maintenance programs, among other areas. Additionally, this person will demonstrate analytical aptitude while scoping strategic projects that link business problems and quantitative methods. This role also leads the Standards and Excellence analytics capability and the performance governance system behind it - KPI design, dashboard and data product roadmaps, and benefits realization routines - partnering with Digital Technology, Process Standards, Continuous Process Improvement, Projects & Execution and Change Management so insight translates into measurable operational and financial results.
  • Manager a team of 3-4 data analysts by guiding them on modeling techniques, approaches, and methodologies
  • Parter with business teams throughout Technical Operations and United to uncover previously unknown opportunities that can be solved quantitatively; define use cases and manage the analytics portfolio based on value, complexity, and business need
  • Ensure alignment and prioritization with business objectives and initiatives - help business owners make faster, smarter decisions; translate the Standards and Excellence strategy into the analytics strategy, metric architecture, and dashboard and data product roadmap
  • Design KPIs and objective functions to unify disparate business units, aligning goals and incentives; establish and maintain KPI governance, metric definitions, data quality controls, review cadences, ownership routines, and sustainment mechanisms so analytics products remain trusted, actionable, and embedded in ongoing business performance management
  • Build and deliver presentations that explain drivers of operational performance, including recommendations on how to improve outcomes; translate complex analysis into executive-ready stories, recommendations, and decisions
  • Execute solutions to business problems using data analysis, data mining, optimization, statistical modeling, and machine learning techniques; identify trends, root causes, and constraints in operational and financial data
  • Translate analytical models directly into business actions while keeping in mind constraints of existing systems and processes; partner with Digital Technology, and platform teams to design, build, and activate data assets, dashboards, and decision-support tools, connecting delivered work to measurable operational and financial outcomes
  • Encourage development and sharing of internal best practices and foster collaboration with internal and external teams

NOTE: This position is located at the CSC-Willis Tower in Chicago, IL and considered as a hybrid role working 3 days in office, however that may evolve with the needs of the company.
Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Computer Science, Engineering or related work experience
  • 5+ years of experience in data science and/or analytics
  • 2+ years of experience in a leadership/supervisory role
  • Experience with the following multiple areas: exploratory data analyses, feature engineering, clustering, regressions, tree methods, supervised and unsupervised learning, reinforcement learning, neural networks, natural language processing, simulation, optimization, and other parametric and nonparametric classification methods
  • Expertise in at least one quantitative analysis package - i.e. Python, R, etc.
  • Proficiency in writing complex queries and procedures using SQL
  • Data visualization skills using one or more reporting tools - i.e. Spotfire, Tableau, ggplot2, etc.
  • Deep technical knowledge of statistics and machine learning methods, including testing model assumptions, and selecting the most appropriate methods
  • Aptitude communicating complex quantitative analysis and algorithms in a clear, precise, and actionable manner (non-technical and technical, all levels of management
  • Strong relationship management and influence skills across business, technical, and operational stakeholders
  • Business development skill to source new analytics projects, apply team's analytics capabilities to business problems, and build relationships with stakeholders to assist with operational decision-making
  • Experience taking projects from the exploratory phase to completion by learning a business problem, finding the data required, building models from scratch, and deploying a solution to end users
  • Demonstrates an understanding of the capabilities and limitations of generative AI tools and effectively leverage them to support research, analysis, content creation, and problem-solving. Applies critical thinking to validate AI-generated outputs while adhering to organizational policies for responsible AI use, data privacy and security
  • Must be willing and able to travel 5-10%
  • Must be willing and able to work a hybrid work schedule, 3 days in office (Tue-Thu) at the CSC-Willis Tower in Chicago, IL
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's degree in a quantitative field like Math, Statistics, Operations Research, Economics, Computer Science, Engineering and/or MBA or related work experience
  • 7+ years of experience in analytics
  • Airline experience or knowledge of airline operations
  • Familiarity with aircraft systems and/or maintenance
  • Experience with predictive maintenance, reliability analytics, operational performance management, or labor productivity analysis
  • Lean Six Sigma Certification
  • Understanding of experimental design principles
  • Background with cloud computing and big data platforms - particularly PySpark and/or Hadoop, Databricks, Palantir or similar ecosystems

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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