2

Entry Level Data Analyst Hybrid 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 ...

New

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 ...

Data Analyst

Manhattan, NY · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Analyst, Hybrid ( New York, NY). Start date is ASAP for this 6-month contract position. Job Title: Data Analyst Location-Type: Hybrid, New York, NY 10019 Start Date: ASAP Duration: Contract, 6 ...

Entry Level Data Analyst

Herndon, VA · On-site

$25 - $30/hr

  • Medical

  • Life

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  ...

Data Analyst

Birmingham, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3041091 Data Analyst I - Asset Data Management Position Overview We are seeking an ... Hybrid/Onsite Experience Level: Entry-Level (0-2 Years) Employment Type: Contract or Contract-to ...

next page

Showing results 1-20

Entry Level Data Analyst Hybrid information

See salary details

$13

$32

$61

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

As of Aug 19, 2026, the average hourly pay for entry level data analyst hybrid 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 cities are hiring for Entry Level Data Analyst Hybrid jobs?

Cities with the most Entry Level Data Analyst Hybrid job openings:

What are the most commonly searched types of Data Analyst Hybrid jobs?

The most popular types of Data Analyst Hybrid jobs are:

What states have the most Entry Level Data Analyst Hybrid jobs?

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

Entry-Level Data Analyst

Synergie Systems

Chicago, IL • On-site

Other

Posted 2 days ago

New


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.