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Data Analytics Jobs in Crystal Lake, IL (NOW HIRING)

PartsSource

Data Analyst

Hoffman Estates, IL

Contribute ideas for how data and analytics can create competitive advantage across PartsSource's business. What You'll Bring Your Background * Bachelor's degree in data science, mathematics ...

PartsSource

Data Analyst

Hoffman Estates, IL · On-site

Contribute ideas for how data and analytics can create competitive advantage across PartsSource's business. What You'll Bring Your Background * Bachelor's degree in data science, mathematics ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science, Economics, Business or related - Minimum * 4+ years' experience in Business Intelligence, Data Analytics, or related (in a ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science, Economics, Business or related - Minimum * 4+ years' experience in Business Intelligence, Data Analytics, or related (in a ...

Omron

AI & Analytics Specialist

Hoffman Estates, IL · On-site

Working directly under the Manager, Data & AI Solutions and under the strategic leadership of the Director, Business Intelligence, this role supports the development of analytics, automation, and AI ...

Consumers Credit Union

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

Bachelor's degree in Analytics, Mathematics, Statistics, Computer Science, Economics, Business or related - Minimum * 4+ years' experience in Business Intelligence, Data Analytics, or related (in a ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Qualifications & Skills • Bachelor's degree in Computer Science, Data Analytics, Business Management, or equivalent work experience. • 5 years of experience in supply chain or manufacturing ...

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

Qualifications & Skills · Bachelor's degree in Computer Science, Data Analytics, Business Management, or equivalent work experience. · 5 years of experience in supply chain or manufacturing ...

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All JobsData Analytics JobsData Analytics Jobs in Crystal Lake, IL

Data Analytics information

See Crystal Lake, IL salary details

$23

$53

$91

How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in Crystal Lake, IL is $53.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.14 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Crystal Lake, IL?

The most popular types of Data Analytics jobs in Crystal Lake, IL are:

What job categories do people searching Data Analytics jobs in Crystal Lake, IL look for?

The top searched job categories for Data Analytics jobs in Crystal Lake, IL are:

What cities near Crystal Lake, IL are hiring for Data Analytics jobs?

Cities near Crystal Lake, IL with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Crystal Lake, IL as of August 2026, with employment types broken down into 73% Full Time, 4% Part Time, 4% Temporary, 15% Contract, and 4% Nights. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $110,432 per year, or $53.1 per hour.

Data Analytics

West Chicago, IL • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

Contractor

Re-posted 20 days ago

Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: ANALYST – LOYALTY & MARKETING DATA ANALYTICS
ASSIGNMENT LENGTH: 1 YEAR (WITH STRONG POSSIBILITY OF EXTENSION)
LOCATION: CHICAGO, IL – CAN BE REMOTE BUT HAS TO COME ONSITE WHEN THE TEAM IS ASKED TO COME ONSITE.

About the Team

Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and customer experience. We drive revenue growth by turning customers into lifelong United flyers through personalized marketing, data-driven insights, and seamless digital engagement. The Digital Marketing Operations group supports the end-to-end delivery of campaigns and analytics that fuel this mission.

Role Overview

We are seeking a Data Analyst to join the Marketing Campaign Operations team. This role will focus on collecting, analyzing, and interpreting marketing data to deliver insights that enhance campaign performance and operational efficiency. You will work cross-functionally with marketing, data, and technical teams, supporting audience targeting, automation, and reporting.

Key Responsibilities

  • Analyze marketing and loyalty data to identify patterns, trends, and optimization opportunities
  • Build and automate dashboards, reports, and visualizations to communicate insights effectively
  • Develop and manage data extensions and audience segments within Salesforce Marketing Cloud (SFMC) using SQL
  • Support the development of marketing data pipelines and automated workflows in PySpark and Databricks
  • Maintain data standards and ensure data integrity across multiple platforms
  • Partner with cross-functional teams to improve campaign execution, reporting, and decision-making

Required Qualifications

  • 3–5 years of experience in data analysis, ideally within marketing or business analytics
  • Strong proficiency in SQL and PySpark
  • Hands-on experience with Amazon Redshift and Databricks
  • Working knowledge of Salesforce Marketing Cloud (SFMC), including audience segmentation and data extension management
  • Excellent analytical, problem-solving, and communication skills
  • Ability to translate technical insights into actionable business recommendations