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Data Analytics Jobs in Bolingbrook, IL (NOW HIRING)

People Data Analytics Lead

Chicago, IL ยท On-site

$180K - $250K/yr

Role Overview You'll be Harvey's founding People Data Analytics Lead - the technical leader for our people analytics function. You'll set the long-term direction for how we measure, model, and act on ...

Technical Architect - Data, Analytics & AI

Lisle, IL ยท Hybrid

$62.75 - $80.75/hr

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Technical ...

Apply now IT Manager, Data & Analytics Posting Start Date: 3/19/26 Job Location (Short): Milwaukee, Wisconsin, USA, 53204-2941 | Chicago, Illinois, USA, 60631 Requisition ID: 35392 Onsite or Remote:

Technical Architect - Data, Analytics & AI

Joliet, IL ยท Hybrid

$61.75 - $79.25/hr

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Technical ...

This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and wellgoverned platforms. The ...

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our Consulting practice. Responsibilities: * Lead the implementation and configuration of Oracle FusionData ...

Showing results 21-40

Data Analytics information

See Bolingbrook, IL salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in Bolingbrook, IL is $54.14, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $61.35 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are popular job titles related to Data Analytics jobs in Bolingbrook, IL? For Data Analytics jobs in Bolingbrook, IL, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Bolingbrook, IL look for? The top searched job categories for Data Analytics jobs in Bolingbrook, IL are:
What cities near Bolingbrook, IL are hiring for Data Analytics jobs? Cities near Bolingbrook, IL with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,603 per year, or $54.1 per hour.

Manager, Data & Analytics Solutions

The Chicago Bulls

Chicago, IL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Description:Manager, Data & Analytics Solutions

Position Overview:

The Chicago Bulls Business Strategy and Analytics Department is a team of strategic critical problem solvers who champion a continuous improvement mindset across the organization. Our mission is to collaborate with key decision makers across the business and empower them with data and insights to better serve our fans.


The Manager, Data & Analytics Solutions will serve as the data and analytics partner to our Corporate Partnerships team, helping them effectively use data and analytics to improve the business. The role is equal parts data strategist, builder and project manager: you will design and implement dashboards and tools that improve business operations, and you will liaise with the Partnerships team to think through key business challenges that can be improved with data. Corporate Partnerships data lives in many disparate places today, and a core focus of this role is centralizing it into scalable systems that the team can rely on. This is a hands-on role for someone who is excited to both “do the work” and think a step ahead about how data and analytics can help the team be successful.


This role works closely with the Corporate Partnerships team (Business Development Strategy and Partner Strategy & Insights) and partners with our data engineering function on the underlying data infrastructure.


Responsibilities:


Platform & Tool Development

  • Design and deliver business performance dashboards that give the partnerships team a clear, consistent view of the business
  • Build, implement, and maintain data and analytics tools (software platforms, AI tools) that enables Corporate Partnerships to operate more efficiently
  • Build automations and tools that streamline cross-functional workflows, such as invoicing handoffs with Finance and inventory management
  • Identify opportunities to reduce manual effort in recurring partnership operations


CRM & Data Strategy

  • Own CRM configuration and optimization as it relates to Corporate Partnerships, identifying improvements based on business requirements and user feedback
  • Support data strategy and technology vendor evaluations, helping the team think through data implications for key tools
  • Collaborate with Corporate Partnerships team to explore emerging opportunities such as data clean rooms and data monetization


Data Centralization & Analysis

  • Centralize and standardize Corporate Partnerships data, creating a reliable foundation for reporting and insight
  • Build and standardize queries and data sources to enable rapid, consistent analysis across the partnerships team
  • Partner with the data engineering function on the underlying data infrastructure and integrations that feed these platforms


Collaboration

  • Act as the connective tissue between Corporate Partnerships and the broader Business Strategy & Analytics team, ensuring the two work alongside one another effectively
  • Champion the adoption of data, dashboards, and tools to strengthen data-driven decision-making across the organization
  • Stay current on emerging technologies and AI-enabled automation, and bring forward ideas for how they can improve the way the team works


Qualifications:

  • Bachelor’s degree with a consistent track record of professional and personal achievement
  • 5+ years of professional experience in an analytical, data, or solutions-oriented role, preferably with exposure to building tools, platforms, and dashboards
  • Proficiency in SQL, preferably working with Cloud Data Warehouses such as Snowflake, BigQuery, or Redshift
  • Experience designing and managing dashboards and effective visualizations (Tableau preferred)
  • Experience building or implementing data and analytics tools, software platforms, or automations that streamline business processes
  • Experience leading cross-functional projects from planning through execution, with the ability to manage priorities, stakeholders, timelines, and deliverables across technical and business teams
  • Familiarity with CRM applications, preferably Microsoft Dynamics CRM, and an understanding of how to apply them in a sales or partnerships context
  • Comfort working with modern data and AI tooling to accelerate analysis and automation
  • Experience supporting revenue operations, sales, or partnerships functions


Skills:

The perfect candidate has a good mix of the following:

  • Entrepreneurial spirit that thrives in a high profile, small business, balancing multiple projects across different functions
  • Strong business acumen with a demonstrated ability to translate business needs into practical data solutions
  • Great interpersonal and communication skills with the ability to build relationships and share findings with both technical and non-technical team members
  • Solutions-oriented mindset, with the ability to both design and implement tools and partner with stakeholders to prioritize where it adds the most value
  • An eye for the details because data quality is paramount
  • Comfort working in a fast-paced environment and able to adapt quickly to real-time changes to the business


Compensation & Benefits:

The base salary range for this role is $90,000 - $105,000 annually + discretionary bonus. This salary range is an estimate, and the actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data.


The Chicago Bulls offer competitive benefits and perks. Our full-time offerings include, but are not limited to:

  • Healthcare, dental, and vision coverage
  • 100% paid premium for basic employee life insurance and disability coverage
  • 401(k) with employer match plus annual discretionary contribution
  • Flexible spending account for healthcare and dependent care as well as commuter benefits
  • Paid time-off including vacation, sick, holiday, days of significance, and parental leave
  • Complimentary home game tickets, parking, and gym access
  • Complimentary snacks, lunch and dinner (if working games / events)
  • Pet Insurance

The Chicago Bulls offer workplace flexibility. Full-time remote work is not an option for this role and interested applicants should be currently located in or prepared to move to the Chicagoland area.


We are an Equal Opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other status or characteristic protected by applicable federal, state, or local law.

Requirements: