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Hourly Data Analytics Jobs in Illinois (NOW HIRING)

BMO Capital Markets

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

BMO Financial

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

G2.com, Inc

Data Analytics Specialist

Chicago, IL · On-site +1

$130K - $150K/yr

About The Role The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer ...

Walgreens

Analyst Data Analytics

Deerfield, IL · On-site

$63K - $101K/yr

Utilizes query based tools to create and run queries used for data mining and analytics to support ... The actual hourly salary within this range that you will be offered will depend on a variety of ...

Halo Group

Data Analytics Architect

Deerfield, IL

Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data ...

Socket.dev

Senior Data Analytics Analyst

Des Plaines, IL · On-site

$78 - $156/hr

Senior Data Analytics Analyst Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have ...

Northern Trust

Data Analytics Engineer

Chicago, IL

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Northern Trust

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

C3EL

IL · On-site

$128K - $153K/yr

Job Title: Data Analytics & Visualization Engineer Security Clearance: Secret Location : Scott AFB, IL (Due to the nature of the work and contract requirements, U.S. Citizenship is required ...

Leidos

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV) team. This is an exciting opportunity to work in a fast-paced environment where innovation ...

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Hourly Data Analytics information

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

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

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Illinois?

The most popular types of Data Analytics jobs in Illinois are:

What cities in Illinois are hiring for Hourly Data Analytics jobs?

Cities in Illinois with the most Hourly Data Analytics job openings:

Hourly Data Analytics jobs near you
Infographic showing various Hourly Data Analytics job openings in Illinois as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Data Analytics

West Chicago, IL • On-site

Kanak Elite Services Inc
See more jobs at Kanak Elite Services Incexternal

Contractor

Re-posted 15 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