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Entry Level Data Analysis Excel Jobs (NOW HIRING)

Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are ... SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI ...

Data Analyst - Excel - Power BI Apply now Save jobSaved job Data Analyst - Krakow At TTEC, were all ... their analysis. The work may involve working across multiple teams and with Clients employees.

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant PCS Global Tech is a Microsoft Solutions Partner and technology ... Data Analyst * Business Analyst * BI Developer * SQL Developer * Data Engineer * Data Integration ...

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 ...

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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Entry Level Data Analysis Excel information

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

As of Aug 5, 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?

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 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.
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:
What states have the most Entry Level Data Analysis Excel jobs? States with the most job openings for Entry Level Data Analysis Excel jobs include:
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 July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst (Excel) - Remote

YO AI Labs

San Francisco, CA • Remote

Full-time

Re-posted 6 days ago


Job description

Job Title: Data Analyst (Excel)

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

  • Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
  • Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
  • Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
  • Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
  • Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
  • Document methodologies, results, and recommendations with meticulous attention to detail.
  • Contribute expertise to enhance data-driven decision-making processes within the customer's team.

Required Skills and Qualifications:

  • Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
  • Exceptional attention to detail and accuracy in data processing and reporting.
  • Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
  • Demonstrated ability to work collaboratively across teams to drive business outcomes.
  • Solid understanding of Excel functions, formulas, and data visualization tools.
  • Proficiency in identifying data inconsistencies and implementing corrective measures.
  • Experience working in fast-paced, data-driven organizations.

Preferred Qualifications:

  • Experience supporting cross-functional teams with data insights to inform business strategy.
  • Background in presenting analytical outcomes to diverse audiences.
  • Familiarity with additional data analysis tools or business intelligence platforms.