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Freelance Data Analyst Developer Jobs in Mokena, IL

Summary The Data Analyst II will support implementation, administration, configuration, and ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

Summary The Data Analyst II will support implementation, administration, configuration, and ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

Summary The Data Analyst II will support implementation, administration, configuration, and ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

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Freelance Data Analyst Developer information

See Mokena, IL salary details

$13

$32

$60

How much do freelance data analyst developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for freelance data analyst developer in Mokena, IL is $32.39, 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.

What is the difference between Freelance Data Analyst Developer vs Freelance Data Scientist?

AspectFreelance Data Analyst DeveloperFreelance Data Scientist
CredentialsTypically requires data analysis, programming, and database skills; certifications like Microsoft Data Analyst or SQL certifications are common.Requires advanced statistical, machine learning, and programming skills; certifications like Certified Data Scientist or Python/R expertise are common.
Work EnvironmentOften works on project-based tasks involving data cleaning, visualization, and reporting for clients across industries.Focuses on predictive modeling, complex analytics, and research-driven projects for diverse sectors.
Employer & Industry UsageFreelance Data Analyst Developers are hired by businesses needing data insights and reporting.Freelance Data Scientists are engaged for advanced analytics, AI, and machine learning solutions.

While both roles involve data work, Freelance Data Analyst Developers focus on data processing and visualization, whereas Freelance Data Scientists handle complex modeling and predictive analytics. The choice depends on project complexity and required expertise.

What cities near Mokena, IL are hiring for Freelance Data Analyst Developer jobs?

Cities near Mokena, IL with the most Freelance Data Analyst Developer job openings:

Entry-Level Data Analyst

Chicago, IL • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees

Other

Posted 8 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.