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Entry Level Genomic Data Analyst Jobs in Chicago, IL

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and analyze data from multiple sources. · Write SQL queries to extract and manipulate data. · Create ...

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 ...

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 ...

The University of Chicago

Bioinformatician

Chicago, IL · On-site

$80K - $110K/yr

Proficient in developing and implementing empirical genomic protocols. * Familiar with the analysis of single cell RNA-seq data sets. * Proficient at assisting with training, a strong publication ...

Field Museum

Postdoctoral Research Scientist

Chicago, IL · On-site

$61K/yr

Experience with genomic data analysis, phylogenetics, and working in Linux-based environments is required. Familiarity with population genomics tools and coalescent-based methods is preferred. The ...

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Entry Level Genomic Data Analyst information

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$13

$33

$63

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

As of Aug 23, 2026, the average hourly pay for entry level genomic 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 Genomic Data Analyst vs Bioinformatics Technician?

AspectEntry Level Genomic Data AnalystBioinformatics Technician
Required CredentialsBachelor's in Genetics, Biology, or related field; basic knowledge of bioinformatics toolsBachelor's in Bioinformatics, Computer Science, or related; familiarity with laboratory data
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch institutions, biotech companies, hospitals
Common Search & ComparisonYesYes

The main difference between an Entry Level Genomic Data Analyst and a Bioinformatics Technician lies in their focus. The analyst primarily interprets genomic data, performs statistical analysis, and supports research projects. The technician typically handles laboratory data management, sample processing, and technical support. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the genomics field.

How much do entry level genomic data analysts make?

Entry-level genomic data analysts typically earn between $50,000 and $70,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions, but proficiency with tools like R or Python and knowledge of genomics can lead to higher compensation over time.

How to become an entry level genomic data analyst?

To become an entry-level genomic data analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Developing skills in programming languages such as Python or R, understanding genomic databases, and gaining experience with data analysis tools are important. Internships or entry-level positions can provide practical experience and help build relevant skills for this role.

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

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

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

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

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

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

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

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

Entry Level Genomic Data Analyst jobs near you
Infographic showing various Entry Level Genomic Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 8% Internship, 82% Full Time, 7% Part Time, and 3% Temporary. Highlights an 87% In-person, 5% Hybrid, and 8% Remote job distribution, with an average salary of $70,552 per year, or $33.9 per hour.

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 5 days ago

Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.

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