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Entry Level Data Analyst Fresh Graduate Jobs (NOW HIRING)

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 ...

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Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

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 ...

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Job#: 3041091 Data Analyst I - Asset Data Management Position Overview We are seeking an entry-level Data Analyst to support enterprise asset data management initiatives. This role will focus on ...

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Junior Data Analyst

Newark, NJ · On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work ... Write and execute SQL queries to extract, transform, and analyze data. * Create and maintain Hive ...

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Comfortable reading basic performance data and using it to inform creative decisions, not just ... We may use artificial intelligence (AI) tools to help our team review applications, analyse resumes ...

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Entry Level Data Analyst Fresh Graduate information

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

As of Aug 19, 2026, the average hourly pay for entry level data analyst fresh graduate in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst Fresh Graduate vs Data Technician?

AspectEntry Level Data Analyst Fresh GraduateData Technician
Required CredentialsBachelor's in Data Science, Statistics, or related fieldTechnical diploma or associate degree in IT or data management
Work EnvironmentOffice setting, collaborative teams, data analysis projectsData centers, IT departments, technical support environments
Employer & Industry UsageBusiness, finance, marketing, healthcareIT firms, data management companies, tech support
Common Search & ComparisonYesYes

The Entry Level Data Analyst Fresh Graduate typically focuses on analyzing data, creating reports, and supporting decision-making processes using statistical tools. In contrast, a Data Technician primarily manages data systems, maintains databases, and ensures data integrity. While both roles require technical skills, the analyst role emphasizes interpretation and insights, whereas the technician role centers on data infrastructure and technical support.

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States with the most job openings for Entry Level Data Analyst Fresh Graduate jobs include:

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 2 days ago

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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.