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Data Analyst Jobs in Morris, IL (NOW HIRING)

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics ...

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization. * Translate business needs into clear functional specifications, source-to-target ...

Work Now Staffing is looking to hire Data Analysts (Logistics, Bulk Mail, & Postal Optimization Specialist) for our Romeoville client. Shift: 1st Shift - 8:00am - 5:30pm and 9:00am - 5:30pm Pay: $21 ...

Gardner Policy Institute is seeking a demographic data analyst. This individual will play a critical role in the daily operations and future growth of this area. This position will primarily provide ...

Gardner Policy Institute is seeking a demographic data analyst. This individual will play a critical role in the daily operations and future growth of this area. This position will primarily provide ...

Research Associate

Campus, IL · On-site

$55K - $75K/yr

Gardner Policy Institute is seeking a demographic data analyst. This individual will play a critical role in the daily operations and future growth of this area. This position will primarily provide ...

Data Analyst information

See Morris, IL salary details

$33K

$80.2K

$131.9K

How much do data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst in Morris, IL is $80,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in Morris, IL? The most popular types of Data Analyst jobs in Morris, IL are:
What job categories do people searching Data Analyst jobs in Morris, IL look for? The top searched job categories for Data Analyst jobs in Morris, IL are:
What cities near Morris, IL are hiring for Data Analyst jobs? Cities near Morris, IL with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Morris, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,152 per year, or $38.5 per hour.

Full-time

Re-posted 4 days ago


Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to transform raw data into actionable intelligence.

Key Responsibilities

  • Collect, clean, and preprocess large datasets from various sources.
  • Restructure and organize data to ensure consistency and usability.
  • Perform feature engineering to enhance data models for machine learning 
    applications.
  • Collaborate with data scientists and engineers to support ongoing projects.
  • Assist in developing and optimizing data pipelines.
  • Generate reports and visualizations to communicate insights effectively.

Qualifications

  • Currently pursuing or recently completed a degree in Data Science, Computer  Science, Statistics, or a related field.
  • Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.
  • Familiarity with SQL and database management.
  • Basic understanding of machine learning concepts and feature engineering.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and in a team environment.

Preferred Qualifications

  • Experience with implementing machine learning in industry is a plus.
  • Knowledge of lithium-ion battery technology is good to have.
  • Experience with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of data visualization tools such as Tableau or Matplotlib.
  • Prior experience with big data frameworks (e.g., Spark) is a plus.

The US base salary range for this full-time position is $65,000.00 - $70,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.  Â