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

HTP Solutions

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 ...

Accenture

Data Protection Sr. Analyst

Chicago, IL · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Avanade

Data Protection Sr. Analyst

Chicago, IL · On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Analyst information

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

As of Jun 15, 2026, the average hourly pay for entry level data analyst in Park Ridge, IL is $32.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $36.20 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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 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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

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.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Park Ridge, IL? The most popular types of Data Analyst jobs in Park Ridge, IL are:
What are popular job titles related to Entry Level Data Analyst jobs in Park Ridge, IL? For Entry Level Data Analyst jobs in Park Ridge, IL, the most frequently searched job titles are:
What cities near Park Ridge, IL are hiring for Entry Level Data Analyst jobs? Cities near Park Ridge, IL with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Park Ridge, IL as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $67,392 per year, or $32.4 per hour.

Financial Data Analyst

HTP Solutions

Oakbrook Terrace, IL • On-site, Remote

$58K - $65K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago

Job description

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, sourcing opportunities, and off-contract spend.

This is an excellent opportunity for recent graduates or early-career professionals to build strong analytical, audit, and client-facing skills. You will work with large datasets, uncover meaningful insights, and communicate findings that help organizations improve compliance and reduce risk.

You will also play a key role in supporting and testing our internal AI platform, Minerva, helping ensure data quality and performance as we continue to expand our capabilities.

Key Responsibilities

  • Analyze large datasets using internal tools to identify trends, risks, and opportunities
  • Review financial transactions and supporting documentation for policy compliance
  • Deliver findings to clients and respond to questions with clear, professional communication
  • Organize and manage client data, reports, and deliverables to ensure accuracy and accessibility
  • Identify supplier categories and lines of business within spend data
  • Conduct investigative analysis to detect patterns, anomalies, and potential issues
  • Perform quality assurance on reports and audit outputs
  • Prepare and manage datasets for analysis (including data intake, validation, and processing)
  • Maintain client-specific configurations within internal software tools
  • Support coordination of customer training sessions and communications
  • Assist with uploading, testing, and validating data within our AI platform
  • Contribute to improving internal processes and tools through feedback and testing

Skills & Qualifications

  • Bachelor’s degree required (Finance, Accounting, Supply Chain, or related field preferred)
  • Strong analytical and problem-solving skills
  • Working knowledge of Excel (sorting, filtering, basic formulas required; willingness to learn more advanced skills)
  • Excellent written and verbal communication skills
  • Detail-oriented with a high level of accuracy
  • Curious and inquisitive mindset with a desire to investigate and understand data
  • Ability to manage multiple projects and meet deadlines
  • High integrity and ability to handle confidential information

What You’ll Gain

  • Hands-on experience analyzing real-world financial and operational data
  • Direct exposure to client interaction and business problem-solving
  • Training on proprietary tools, audit methodologies, and AI-driven analytics
  • Experience working with emerging AI technology (Minerva) in a practical business setting
  • Opportunity to grow into advanced analytical, audit, or client-facing roles

Work Environment & Benefits

  • Full-time, in-office role in Oakbrook Terrace, IL
  • Flexible schedule during standard business hours
  • Option to work remotely up to 20% after initial training
  • Health insurance
  • Simple IRA with employer matching and immediate vesting
  • Paid time off

Additional Information

  • Background check required
  • Must be able to commute to Oakbrook Terrace, IL