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Entry Level Data Analysis Excel Jobs (NOW HIRING)

You are a self-starting and motivated problem solver with excellent data analysis skills. WHAT YOU WILL DO: The Data Analyst I performs entry-level data analysis and data research work. Works under ...

Analytical (Expert), Excel (Advanced), Tableau (Advanced), SQL (Advanced), GSuite (Proficient ... We are seeking a Data Analysis Lead to join our team in a remote role, supporting our sales ...

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... 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 ...

Entry-Level Data Entry- Now Hiring! Are you tech-savvy, detail-driven, and ready to be the backbone ... Proficiency in Microsoft Office Suite (Excel, Word, Outlook). * Ability to multitask and stay ...

Entry-Level Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Visualization engineers, BI Analysts, Machine ...

Data Analysis Lead Primary Skills ... Analytical (Expert), Excel (Advanced), Tableau (Advanced), SQL (Advanced), GSuite (Proficient ...

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Entry Level Data Analysis Excel information

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

As of Jun 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 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.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst using Excel, and why are they important?

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 are entry level data analysis Excel jobs?

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.
More about Entry Level Data Analysis Excel jobs
What cities are hiring for Entry Level Data Analysis Excel jobs? Cities with the most Entry Level Data Analysis Excel job openings:
What are the most commonly searched types of Data Analysis Excel jobs? The most popular types of Data Analysis Excel jobs are:
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What job categories do people searching Entry Level Data Analysis Excel jobs look for? The top searched job categories for Entry Level Data Analysis Excel jobs are:
Infographic showing various Entry Level Data Analysis Excel job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Joliet, IL • On-site

Other

Posted 22 days ago


Job description

Job Opportunities At Synergisticit

The job market is challenging due to almost 300,000 tech layoffs since October 2022, which has led to thousands of laid-off techies competing with existing jobseekers. Entry-level job seekers struggle to get responses to their applications, forget about getting client interviews. As the saying goes, "when the going gets tough the tough get going." Candidates who want to make a tech career need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at Synergisticit, we just don't focus on getting you a job; we make careers. All positions are open for all visas and US citizens.

We are matchmakers, we provide clients with candidates who can perform from day one of starting work. In this challenging economy, every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs.

Clients now post-covid can also hire remote workers, which increases even more competition for jobseekers. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, etc., to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the IT industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

We also offer optionally skill and technology enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands-on project work at clients, then they should be good to be submitted to clients. Shortlisting and selection is totally based on clients' discretion, not ours. Please check the below links to see success outcomes of our candidates.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

We are looking for the right matching candidates for our clients. Please apply via the job posting. Required skills for Java/Full stack/Software Programmer:

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, JavaScript, C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

For data science/machine learning positions:

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, TensorFlow. If you get emails from our skill enhancement team, please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.