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Data Analysis Excel Jobs (NOW HIRING)

YO IT Consulting

Data Analyst Excel - Remote

The role involves conducting in-depth data analysis, collaborating with stakeholders, and ... Responsibilities : • Conduct in-depth data analysis using Microsoft Excel to extract actionable ...

TTEC

Data Analyst - Excel - Power BI

Krakow, WI

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.

New

Pioneer Data Systems, Inc

NJ · On-site

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 ...

MDAEdge

Data Analyst (Tableau & Excel)

Manhattan, NY · On-site

... data analysis to identify trends, patterns, and anomalies within large datasets. • Utilize ... Excel functions (VLOOKUP, Pivot Tables, Macros, Power Query) to clean, manipulate, and model data ...

Robert Half

Data Analysis Manager

Washington, DC · On-site

$80K - $100K/yr

... Excel and PowerPoint. All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via ...

New

AT&T

Lead Data Analysis

Dallas, TX · On-site

Use SQL, Python, Power BI, Excel, Tableau, Snowflake, Salesforce, Varicent, and related tools to analyze data, automate processes, validate results, and deliver business insights. * Sales Planning ...

YO IT Consulting

Excel Expert - Remote

Responsibilities : • Review, analyze, and enhance complex Excel files relevant to business operations, strategy, and data analysis. • Provide detailed feedback and examples of best practices in ...

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How much do data analysis excel jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analysis excel in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analysis Excel position, and why are they important?

To thrive in a Data Analysis Excel role, you need strong analytical thinking, advanced proficiency in Microsoft Excel, and a solid understanding of statistical methods, often supported by a degree in a quantitative field. Expertise in using Excel’s advanced features—such as PivotTables, VLOOKUP, macros, and data visualization tools—is typically required, and certifications like Microsoft Office Specialist (MOS) can be advantageous. Excellent problem-solving, attention to detail, and clear communication are crucial soft skills for interpreting data and presenting findings to both technical and non-technical stakeholders. These skills are essential for ensuring accurate data-driven insights that support business decision-making and drive organizational success.

What does a data analyst do in Excel?

A data analyst using Excel collects, organizes, and analyzes data to identify trends and support decision-making. They often use functions, pivot tables, and charts to interpret data and create reports, requiring strong Excel skills and attention to detail.

What is a Data Analysis Excel job?

A Data Analysis Excel job involves using Microsoft Excel to organize, analyze, and interpret data to support decision-making. Professionals in this role utilize functions such as pivot tables, VLOOKUP, macros, and charts to identify trends and insights. They often work with large datasets to clean, manipulate, and visualize data for reporting purposes. This role is common in fields like finance, marketing, operations, and business intelligence. Strong analytical skills and proficiency in Excel formulas are essential for success in this position.

What are the typical daily responsibilities of a Data Analysis Excel professional?

As a Data Analysis Excel professional, your daily responsibilities often include collecting, organizing, and cleaning large datasets to prepare them for analysis. You will use advanced Excel functions to analyze trends, generate reports, and create visualizations that help support business decisions. Collaborating with team members from different departments is common, as you may need to clarify data requirements or present findings to various stakeholders. You may also be tasked with automating repetitive workflows and contributing to continuous process improvement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to completely replace data analysts in the near future.

Is Excel a high paying skill?

Excel skills are highly valued in data analysis roles, and proficiency can lead to higher salaries, especially when combined with advanced functions, data visualization, and automation skills like VBA. While basic Excel may not command top pay, advanced expertise can significantly increase earning potential in data analysis and related fields.

What is the salary of Excel data analysis?

The salary for a data analyst skilled in Excel typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced Excel skills and certifications can earn higher salaries.
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Data Analysis Excel jobs near you
Infographic showing various Data Analysis Excel job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst (Excel) - Remote

YO AI Labs

San Francisco, CA • Remote

Full-time

Posted 15 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.