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Entry Level Data Analyst Jobs in Villa Park, IL (NOW HIRING)

Job Title: Entry level Data Analyst Note : Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary We are seeking ...

... Gartner Data & Analytics summit Why do tech companies not hire recent computer science graduates ... entry level position. The additional skills and project work with hands on experience building ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Job Title Data Analyst, Location - Northbrook, IL SynergisticIT is a full-service staffing and placement firm servicing clients in America for the past 10 years. We are dedicated towards fulfilling ...

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube If you have relevant skills and ...

Entry Level Data scientist

Chicago, IL · On-site

$17.50 - $23/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

Entry-Level Software Programmer SYNERGISTIC wants every candidate to know we are always here to ... data analysts/data scientists. Who Should Apply Recent IT graduates looking to make their careers ...

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

For entry-level job seekers to get client interviews and jobs they need to differentiate themselves ... Excellent written and verbal communication skills Required skills for data science/machine learning:

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$58K - $65K/yr

Position Overview We are seeking a Financial Data Analyst (Entry-Level) to join our audit services team. In this role, you will analyze client spend data to identify policy violations, trends ...

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Gartner Data & Analytics summit Why do tech companies not hire recent computer science graduates?

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

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Entry Level Data Analyst information

See Villa Park, IL salary details

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$32

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How much do entry level data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for entry level data analyst in Villa Park, IL is $32.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

What Does an Entry Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Villa Park, IL? The most popular types of Data Analyst jobs in Villa Park, IL are:
What are popular job titles related to Entry Level Data Analyst jobs in Villa Park, IL? For Entry Level Data Analyst jobs in Villa Park, IL, the most frequently searched job titles are:
What cities near Villa Park, IL are hiring for Entry Level Data Analyst jobs? Cities near Villa Park, IL with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Villa Park, IL as of May 2026, with employment types broken down into 6% As Needed, 68% Full Time, 13% Part Time, and 13% Contract. Highlights an 59% Physical, 2% Hybrid, and 39% Remote job distribution, with an average salary of $67,598 per year, or $32.5 per hour.

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Posted 20 days ago


Job description

Job Title: Entry level Data Analyst
Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.Job Summary
We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.
Key Responsibilities
  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
  • Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
  • Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
  • Implement predictive forecasting and analytical models to support strategic decision-making.
  • Automate data workflows and reporting processes to improve operational efficiency.
  • Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
  • Perform root cause analysis on performance and operational issues using data insights.
  • Work with cross-functional teams to gather requirements and translate data into actionable insights.
  • Maintain documentation of data processes, models, and reporting systems.
  • Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.
    Required Qualification
  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
  • Strong knowledge of data analysis, statistical techniques, and data visualizations
  • Experience working with databases and large datasets.
  • Ability to interpret complex data and present insights clearly to stakeholders.
  • Strong problem-solving and analytical thinking skills.