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Entry Level Baseball Data Analyst Jobs in Chicago, IL

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

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 ...

The LaSalle Group

Tableau Data Analyst

Evanston, IL · On-site

$40 - $50/hr

Our client is seeking a Tableau Data Analyst to support critical reporting, dashboarding, and ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Praytell

Client Finance Analyst (Entry Level)

Chicago, IL · On-site

$55 - $65/hr

Review financial data across systems for accuracy and completeness and help resolve discrepancies when they arise. * Support client finance inquiries, billing questions and invoice follow-up in ...

Accenture

Data Protection, A/SA-Evergreen

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.

Avanade

Data Protection, A/SA-Evergreen

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 Baseball Data Analyst information

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

As of Sep 2, 2026, the average hourly pay for entry level baseball data analyst in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

What is an entry level baseball data analyst?

An Entry Level Baseball Data Analyst is responsible for collecting, analyzing, and interpreting baseball-related data to support decision-making in player evaluation, game strategy, and team performance. They use statistical models, databases, and programming languages like SQL, Python, or R to generate insights. This role often involves working with coaches, scouts, and front-office staff to apply data-driven recommendations. Strong analytical skills, attention to detail, and knowledge of baseball metrics are essential for success in this position.

What are some typical projects or tasks an entry level baseball data analyst might work on during a season?

As an Entry Level Baseball Data Analyst, you'll regularly collect and organize player performance data, prepare reports for coaches or scouts, and maintain large databases of game statistics. You may assist in analyzing trends such as player tendencies, pitch effectiveness, or opponent strategies to support game preparation and evaluate potential trades or draft picks. Collaboration with other analysts, coaches, and front office staff is common, so you'll often attend meetings to present findings and make recommendations. This role provides hands-on experience with real-time analytics and offers opportunities to contribute insights that can impact team decisions and player development.

What are the key skills and qualifications needed to thrive in the entry level baseball data analyst position, and why are they important?

To thrive as an Entry Level Baseball Data Analyst, you need strong analytical skills, a solid understanding of baseball statistics, and a relevant degree such as mathematics, statistics, or a related field. Familiarity with data analysis tools like SQL, R, Python, and databases, as well as experience with sports analytics platforms, is highly beneficial. Clear communication, teamwork, and attention to detail are important soft skills for translating data insights and working with coaches or scouting staff. These abilities are essential to effectively interpret data, support team decision-making, and help drive competitive strategies in a fast-paced sports environment.

What are the most commonly searched types of Baseball Data Analyst jobs in Chicago, IL?

The most popular types of Baseball Data Analyst jobs in Chicago, IL are:

What are popular job titles related to Entry Level Baseball Data Analyst jobs in Chicago, IL?

For Entry Level Baseball Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Baseball Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Entry Level Baseball Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Baseball Data Analyst jobs?

Cities near Chicago, IL with the most Entry Level Baseball Data Analyst job openings:

Entry Level Baseball Data Analyst jobs near you
Infographic showing various Entry Level Baseball Data Analyst job openings in Chicago, IL as of July 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $70,552 per year, or $33.9 per hour.

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

Posted 28 days ago

Job description

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.

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