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Entry Level Biotech Data Analyst Jobs in Chicago, IL

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 ...

New

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 ...

Data Scientist

Chicago, IL · On-site

$110K - $140K/yr

S.) Data Scientist I/II BioLink360 is partnering with a rapidly growing healthcare consulting ... analytics while supporting leading pharmaceutical, biotechnology, diagnostics, and medical ...

Entry Level Building Performance Analyst Firm Overview Do more than just build! At dbHMS, we are a ... Analyzing building performance data and identifying opportunities for improvement. * Thinking ...

The Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus's real-world data (RWD ...

The Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus's real-world data (RWD ...

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Entry Level Biotech Data Analyst information

See Chicago, IL salary details

$13

$33

$63

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

As of Aug 8, 2026, the average hourly pay for entry level biotech 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 the difference between Entry Level Biotech Data Analyst vs Entry Level Bioinformatics Technician?

AspectEntry Level Biotech Data AnalystEntry Level Bioinformatics Technician
Required CredentialsBachelor's in Biology, Bioinformatics, or related field; basic data analysis skillsBachelor's in Biology, Bioinformatics, or related field; familiarity with bioinformatics tools
Work EnvironmentLaboratories, research facilities, data analysis teamsLaboratories, computational environments, research settings
Employer & Industry UsageBiotech companies, pharmaceutical firms, research institutionsResearch labs, biotech firms, academic institutions

Entry Level Biotech Data Analysts focus on analyzing biological data using statistical tools, while Entry Level Bioinformatics Technicians assist with data processing and managing bioinformatics software. Both roles require similar educational backgrounds and are common in biotech and research settings, but Data Analysts emphasize data interpretation, whereas Technicians focus on data management and technical support.

What are the most commonly searched types of Biotech Data Analyst jobs in Chicago, IL? The most popular types of Biotech Data Analyst jobs in Chicago, IL are:
What job categories do people searching Entry Level Biotech Data Analyst jobs in Chicago, IL look for? The top searched job categories for Entry Level Biotech Data Analyst jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Entry Level Biotech Data Analyst jobs? Cities near Chicago, IL with the most Entry Level Biotech Data Analyst job openings:
Infographic showing various Entry Level Biotech Data Analyst job openings in Chicago, IL as of July 2026, with employment types broken down into 74% Full Time, 14% Part Time, 3% Temporary, and 9% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% 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 3 days ago

New


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.