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Weekend 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 ...

G2.com, Inc

Data Analytics Specialist

Chicago, IL · On-site

$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

Data Analytics Analyst

Deerfield, IL · On-site

$63K - $101K/yr

Utilizes query based tools to create and run queries used for data mining and analytics to support other job responsibilities and ad hoc projects. * Performs specific tasks identified in the ...

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 ...

GW Electric

Data Analytics Analyst II Position Summary The Data Analytics Analyst II serves as a business analytics partner responsible for translating business processes, objectives, and performance goals into ...

C5T Corporation

IL · On-site

$85K - $120K/yr

Data Analytics/Reporting SME This role works directly with USTRANSCOM stakeholders, financial management personnel, logistics experts, and software development teams supporting enterprise financial ...

Salesforce, Inc.

Data Analytics Senior Analyst

Chicago, IL · On-site

$88K - $111K/yr

Data Analytics Senior Analyst will be a crucial member of a high-performance team, Attrition Insights Center of Excellence (CoE), the source of truth for renewals and attrition data & analytics at ...

Salesforce, Inc.

Data Analytics Senior Analyst

Chicago, IL

$88K - $111K/yr

Data Analytics Senior Analyst will be a crucial member of a high-performance team, Attrition Insights Center of Excellence (CoE), the source of truth for renewals and attrition data & analytics at ...

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 ...

Steame LLC

Data Analytics Engineer - Chicago

Chicago, IL · On-site

$120K - $130K/yr

The Role As a Data Analytics Engineer at STEAMe, you will sit at the intersection of analytics, data engineering, and emerging AI-powered workflows. You'll be responsible for building reliable data ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

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All JobsData Analytics JobsWeekend Data Analytics JobsWeekend Data Analytics Jobs in Illinois

Weekend Data Analytics information

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

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in statistical analysis, data visualization, and domain knowledge that AI cannot fully replicate, making human expertise still valuable in the field.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and statistical tools that can be learned at any age. Many professionals successfully transition into data analytics later in their careers by gaining relevant certifications and experience. Employers often prioritize skills and experience over age when hiring for data analyst positions.

Can data analytics be a side hustle?

Data analytics can be a viable side hustle for professionals with skills in data analysis, visualization, and tools like Excel, SQL, or Python. Many analysts take on freelance projects or consulting work outside their main job, often working flexible hours to supplement income.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may work on weekends if project deadlines, data availability, or urgent issues require it. Flexibility can be important, especially in roles involving real-time data monitoring or client support.
What are the most commonly searched types of Data Analytics jobs in Illinois? The most popular types of Data Analytics jobs in Illinois are:
Weekend Data Analytics jobs near you

Data Analytics

Kanak Elite Services Inc

West Chicago, IL • On-site

Contractor

Posted 9 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