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Data Analytics Jobs in Peoria, IL (NOW HIRING)

Pursuit Aerospace

Lead Data Scientist

Morton, IL · On-site

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

Aston Carter

Logistics Analyst 1

Morton, IL · On-site

$18 - $22/hr

Utilize data analytics to identify trends, issues, and opportunities in production and logistics performance. Essential Skills * Strong verbal and written communication skills to interact effectively ...

Swoon Group

Logistics Analyst I

Morton, IL · On-site

$21/hr

Data Analytics experience * written communication with ability to summarize situations for Senior Leadership * Microsoft Excel experience - Pivot Tables, V/X Lookups (Required) * PowerBI Experience ...

Swoon Staffing

Logistics Analyst 1 #100353

Peoria, IL · On-site

$21/hr

Data Analytics experience * written communication with ability to summarize situations for Senior Leadership * Microsoft Excel experience - Pivot Tables, V/X Lookups (Required) * PowerBI Experience ...

ThreePDS Inc.

Data Scientist

East Peoria, IL · On-site

ThreePDS Inc. is seeking a professional to join their team in a mid-level analytics role. This position focuses on data visualization, SQL querying, and stakeholder collaboration, with occasional ...

MAUI JIM, Inc.

Senior Analytics Developer

Peoria, IL · On-site

$90K - $130K/yr

Translate business analytical needs into data modeling requirements to enable effective data structures for reporting and analytics. * Manage and optimize processes for visualization design, design ...

Maui Jim

Senior Analytics Developer

Peoria, IL · Hybrid

$90K - $130K/yr

Translate business analytical needs into data modeling requirements to enable effective data structures for reporting and analytics. * Manage and optimize processes for visualization design, design ...

Maui Jim

Senior Analytics Developer

Peoria, IL · On-site

$90 - $130/hr

Translate business analytical needs into data modeling requirements to enable effective data structures for reporting and analytics.Manage and optimize processes for visualization design, design ...

Caterpillar

Senior Data Scientist

Mossville, IL · On-site

Build analytics products and decision-support tools that combine machine learning outputs, curated data assets, and intuitive Power BI reporting to improve adoption and business actionability.

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Data Analytics information

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How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in Peoria, IL is $53.72, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $60.87 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 Peoria, IL?

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

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

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

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Peoria, IL as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,731 per year, or $53.7 per hour.

Lead Data Scientist

Morton, IL • On-site

Pursuit Aerospace
Aerospace Product and Parts Manufacturing

7.8

Company rating: 7.8 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

211th of 495 rated machine equipment manufacturers

Good employer

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Recommended by parents

Learn more about Pursuit Aerospaceexternal

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

About Us: 

As a global manufacturer of complex aircraft engine components, Pursuit Aerospace is founded on a commitment to relentless, continuous, operational improvement and extraordinary customer service. We pride ourselves on competitive cost structure, exceptional on-time delivery, and industry-leading quality.

Pursuit cultivates long-term relationships with our customers around the world through respect, teamwork, technology, and trust. We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers.

About the Opportunity: 

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer service. The lead data scientist will function like a forward-deployed engineer who takes a supply chain problem from ambiguity to financial impact: framing the problem, shaping the data and models, building and iterating fast, and owning the solution end to end. This role will work shoulder-to-shoulder with the business, move at its pace, and turn large, messy operational data into robust models, dashboards, and AI-powered tools that change decisions and outcomes.

Location:

Remote in the U.S., and travel 10-20%.

Responsibilities: 

  • Deliver high-impact analytics: partner with cross-functional leaders to scope the problems and ship solutions that move real metrics: inventory, on-time delivery, and cost.
  • Build end-to-end products: build products independently and iterate quickly based on business feedback including data pipeline and snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics, dashboards, and AI-powered tools.
  • Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology
  • Engineer trustworthy data: turn large, messy operational data into well-structured, trusted datasets, and develop continuous improvement framework to enhance data quality and integrity
  • Drive decisions and adoption: translate analytical results and tools into clear, decision-ready recommendations and drive adoption across the business

Required Qualifications:  

  • Bachelor’s degree required
  • 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes
  • 2+ years in SQL, Python, Machine learning modeling, and time-series analytics
  • Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future. The Company cannot offer employment to visa holders who require employer sponsorship in the future or cannot work now on a full-time basis.
  • Must be able to perform work subject to ITAR/EAR regulations. 

 Preferred Qualifications:  

  • Bachelor’s degree in data science or related field preferred 
  • Master’s degree preferred 
  • Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform
  • Effective AI-assisted product development and proficient in using AI to plan, build, and quality-check code, and can critically evaluate, debug, and improve what it generates
  • Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management and clear-to-build reporting
  • Aerospace and/or manufacturing experience
  • Familiarity with ERP systems and hands-on experience with purchase order, production order, and inventory data

Working Conditions:  

  • Requires mobility in a manufacturing plant environment while using Personal Protective Equipment. 
  • Must be able to frequently sit, stand and walk.
  • Must be able to lift and carry up to 15 pounds.
  • Must be able to have prolonged periods sitting at a desk and working on a computer.
  • Must be able to travel between locations or to suppliers up to 25% of time.

Acknowledgements:  

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.  

Benefits:  

Pursuit Aerospace also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements, among other things. 

 Equal Opportunity Employer:  

Pursuit Aerospace is an Equal Opportunity Employer. We adhere to all applicable federal, state, and local laws governing nondiscrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.



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