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Entry Level Data Analysis Excel Jobs (NOW HIRING)

Synergie Systems

Entry-Level Data Analyst

Chicago, IL · On-site

Required Skills: · SQL -- SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations. · Excel ... data analysis and statistics. · Familiarity with Power BI or Tableau. · Good analytical and ...

Jobtailor

IT Data Operations Intern

Manhattan, NY · On-site

$70 - $110/hr

Core Competencies Demonstrates strong data analysis capabilities with proficiency in Excel and Salesforce tools, focusing on data cleanup and standardization. Possesses a keen ability to translate ...

Synergie Systems

Entry Level Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Entry Level Data Engineer Location: Dallas, TX Job Type: Only W2 We are looking for an ... You will work with experienced data engineers and analysts to build, maintain, and improve data ...

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

... Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using advanced ...

Staffing Specifix

Be Seen First

Entry Level Purchasing Agent

Miami Lakes, FL · On-site

$25 - $26/hr

We are looking for a Entry Level Purchasing/ Buyer for a manufacturing located in Miami Lakes, FL ... Advanced Excel and data analysis (Excel Test will be required) * Procurement and vendor management

Hunter Strategy

Data Analyst

$60K - $70K/yr

Salary Range: $60,000 - $70,000 Annually ABOUT THE ROLE As an entry-level Data Analyst, you will ... analysis or visualization tools such as Excel, SQL, Python, R, Tableau, or Power BI through ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

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 ...

Genesis Recruiting

Excel and Data Analyst

Brooklyn, NY · On-site

$80K/yr

Use advanced Excel functions, including PivotTables, XLOOKUP/VLOOKUP, formulas, and data analysis tools. Ensure data accuracy and maintain organized records. Work closely with management to support ...

Pioneer Data Systems, Inc

NJ

Data Analyst (Master Data / MS Excel) Duration: 04+ Months Location: PISCATAWAY,NJ. Description ... Familiarity with data analysis and visualization; experience with manipulating complex data to ...

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How much do entry level data analysis excel jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level data analysis excel 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 an entry level data analysis Excel job?

Entry level data analysis Excel jobs are positions designed for individuals who are new to the field of data analysis and primarily use Microsoft Excel to organize, analyze, and visualize data. These roles typically involve tasks such as cleaning data, creating reports, building charts, and using formulas to draw insights from datasets. They are ideal for recent graduates or career changers and often serve as a stepping stone to more advanced data analyst roles. Proficiency in Excel, attention to detail, and basic analytical thinking are key skills for these jobs.

What are the key skills and qualifications needed to thrive as an entry level data analyst using Excel?

To thrive as an Entry Level Data Analyst with an Excel focus, you need strong analytical skills, attention to detail, and a foundational understanding of data concepts, often supported by a relevant degree or coursework. Proficiency in Microsoft Excel, including formulas, pivot tables, and data visualization tools, is essential, and familiarity with basic data analysis software or certifications like Microsoft Office Specialist can be advantageous. Strong communication, problem-solving ability, and organizational skills help you interpret and present data insights effectively. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing value to your team from the start.

What are some common challenges faced by entry level data analysts working primarily with Excel, and how can they be addressed?

Entry-level data analysts using Excel often encounter challenges such as managing large datasets that may exceed Excel’s capacity, ensuring data accuracy during manual data entry, and learning to use advanced functions like pivot tables, VLOOKUP, and data visualization tools effectively. To address these, it's helpful to become proficient with Excel shortcuts, regularly validate data for errors, and seek out training resources or mentorship from experienced team members. Collaborating closely with colleagues can also provide insights into best practices for organizing and analyzing data efficiently in a team environment.

What is the difference between Entry Level Data Analysis Excel vs Data Analyst?

AspectEntry Level Data Analysis ExcelData Analyst
Required SkillsBasic Excel, data entry, simple analysisAdvanced Excel, SQL, data visualization, statistical analysis
CertificationsNone or beginner Excel certificationsRelevant certifications like Microsoft Excel Expert, SQL certifications
Work EnvironmentEntry-level roles in various industries, often in office settingsMid-level roles in diverse industries, often involving complex data projects
Job ResponsibilitiesData entry, basic reporting, data cleaningData analysis, reporting, creating dashboards, interpreting data trends

Entry Level Data Analysis Excel focuses on basic data tasks using Excel, suitable for beginners. Data Analysts perform more complex analysis, often requiring additional skills like SQL and data visualization. While both roles work in office environments and require some Excel knowledge, Data Analysts handle more advanced responsibilities and typically have more certifications or experience.

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Entry Level Data Analysis Excel jobs near you
Infographic showing various Entry Level Data Analysis Excel job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry-Level Data Analyst

Chicago, IL • On-site

Synergie Systems
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Synergie Systemsexternal

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.

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