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Data Analytics Associate Jobs in Peoria, IL (NOW HIRING)

Data Engineer (Snowflake) 2

Chillicothe, IL ยท On-site

$103K - $124K/yr

Support the modernization of analytics and reporting capabilities across the organization ... Associate's degree in Computer Programming, Computer Science, Information Technology, or a related ...

... Associate Engineer who validates products and processes for our Power Controls Components ... Analysis of test data and database maintenance * Document and communicate test results and ...

Buyer

Morton, IL ยท On-site

Utilize data analytics tools to track procurement metrics, including pricing trends, supplier ... Associate's degree in business administration, Supply Chain Management, or 3+ years' experience in ...

... analytics and reporting platforms. This role is responsible for managing data architecture ... Associate's degree in Computer Programming, Computer Science, Information Systems, or a related ...

MEPS Data Entry Analyst The role of this position is that of a packaging data entry analyst. The ... Associate's Degree required. Bachelor's degree preferred. Two years relevant experience with ...

Associate's degree in computer programming or relevant field required. Bachelor's degree preferred ... Serve as the Data/Product Owner for multiple analytics programs and datasets, collaborating ...

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Data Analytics Associate information

See Peoria, IL salary details

$3.2K

$6.2K

$8.8K

How much do data analytics associate jobs pay per month?

As of Sep 2, 2026, the average monthly pay for data analytics associate in Peoria, IL is $6,172.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,600.00 and $6,583.33 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

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

Infographic showing various Data Analytics Associate job openings in Peoria, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,067 per year, or $35.6 per hour.

Data Engineer (Snowflake) 2

The AES Group

Chillicothe, IL โ€ข On-site

$103K - $124K/yr

Contractor

Posted 5 days ago


Job description

Role: Data Engineer (Snowflake)
Location: Chillicothe, IL 61523 (Onsite – 5 Days/Week)
Let’s create our future together at The AES Group!
About The AES Group

The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.
 
Position Overview

Seeking a Data Engineer (Snowflake) to join the clients team supporting enterprise analytics and data initiatives. Ideal candidate will combine Snowflake administration, strong SQL, ETL/data engineering, data integration, and troubleshooting skills. The position will support the development and maintenance of foundational data solutions used by business users, analytics teams, applications, and reporting platforms.

Key Responsibilities

  • Provide Snowflake administration and development support, including database objects, access grants, permissions, and create statements.
  • Develop, maintain, troubleshoot, and optimize SQL queries, views, and data solutions.
  • Investigate and trace data, query, and system issues across multiple enterprise platforms.
  • Build and maintain ETL/data pipelines for integrating, transforming, and normalizing data from multiple sources.
  • Support data orchestration, job scheduling, and automated data processes.
  • Monitor and help maintain data freshness, availability, reliability, and quality.
  • Integrate and normalize datasets across enterprise data platforms.
  • Design and build data objects and solutions rather than relying solely on pre-existing code or procedures.
  • Review data solutions for efficiency, performance, compute usage, and storage costs, particularly within Snowflake.
  • Manage user access and role-based permissions while supporting data governance requirements.
  • Support the modernization of analytics and reporting capabilities across the organization.
  • Document database architecture, data flows, processes, and program-specific solutions.
  • Collaborate with data engineers, data specialists, scientists, enterprise technology teams, and internal business customers.
  • Support users consuming enterprise data through Power BI, applications, analytics platforms, and other solutions.
  • Respond to internal data requests and help users identify, access, and consume the appropriate datasets.
  • Help establish consistent data engineering practices and develop scalable, optimized solutions.

Required Qualifications

  • 2–4 years of relevant experience preferred. Candidates with additional experience may also be considered based on skill alignment and interest in the role.
  • Associate's degree in Computer Programming, Computer Science, Information Technology, or a related field required; Bachelor's degree preferred.
  • Strong hands-on Snowflake experience.
  • Strong SQL development and troubleshooting skills.
  • Experience with ETL/data engineering and data pipelines.
  • Experience integrating and normalizing data from multiple sources.
  • Strong troubleshooting, data analysis, and issue-resolution capabilities.
  • Understanding of database administration, access management, and permissions.
  • Experience with data orchestration and job scheduling.
  • Ability to independently build, troubleshoot, and support data solutions.
  • Strong verbal and written communication skills.
  • Ability to work independently while collaborating effectively with technical and business stakeholders.

Top 3 Technical Skills

1. Snowflake

Hands-on Snowflake administration/development, access management, database objects, troubleshooting, performance, and cost considerations.

2. SQL

Strong ability to independently develop, analyze, troubleshoot, and optimize SQL queries and views.

3. ETL / Data Engineering

Experience building or supporting data pipelines, data integration, normalization, orchestration, scheduling, and reliable data delivery.

Strongly Preferred

  • Snowflake DBA experience
  • Advanced SQL/query engineering
  • Cross-platform data integration
  • Data normalization and transformation
  • ETL/data pipeline development
  • Data orchestration and job scheduling
  • Enterprise data environment experience
  • Snowflake performance and cost optimization
  • Role-based access control and data governance
  • Experience troubleshooting data issues across multiple systems

Nice-to-Have Skills

  • Python scripting and automation
  • AWS services/accounts
  • Power BI or data visualization experience
  • SAS or other legacy analytics technologies
  • Experience with enterprise databases such as Oracle, Teradata, SQL Server, DB2
  • Snowflake Cortex
  • GitHub Copilot
  • Agentic AI development tools
  • Experience using AI-assisted development tools such as those integrated with VS Code
  • Architecture/dependency management tools such as LeanIX

Ideal Candidate Profile

The ideal candidate is a Snowflake-focused Data Engineer / Database Analyst who can operate across both database administration and development.

A strong candidate will bring: Snowflake + Strong SQL + ETL/Data Engineering + Troubleshooting + Data Integration.