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Excel Analyst Jobs in Michigan (NOW HIRING)

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

What We Look For In a Microsoft Excel Tutor * Advanced Subject Mastery: Deep knowledge of ... Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing ...

Senior Financial Analyst

Troy, MI · On-site +1

$90K - $90K/yr

Advanced Excel skills * SQL knowledge * Tableau, R, and Python knowledge preferred * Strong verbal ... analyses which meet the objectives * Experience reviewing large data sets, identifying trends, and ...

Sr. Financial Analyst

Traverse City, MI · On-site

$85K - $107K/yr

Proficiency in Excel, Analytical Software Suite, Billing Systems * Prior exposure to the following is a plus: VBA; JavaScript; MicroStrategy; Oracle BI; Tableau; SASS; R; STATA; HOST Analytics;

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Excel Analyst information

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How much do excel analyst jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for excel analyst in Michigan is $23.37, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $30.19 per hour, depending on experience, location, and employer.

How does an Excel Analyst typically collaborate with other departments within an organization?

Excel Analysts frequently work alongside departments such as finance, operations, and marketing to gather data, interpret trends, and create actionable reports. Collaboration usually involves regular meetings to clarify data requirements, sharing dashboards or models, and providing insights that support decision-making. Developing clear communication skills is essential, as you'll often need to explain complex analyses to stakeholders who may not be familiar with Excel's technical features. This cross-functional teamwork not only enhances the accuracy of your analyses but also fosters professional growth and a deeper understanding of the business.

What are Excel Analysts?

Excel Analysts are professionals who use Microsoft Excel to collect, organize, analyze, and interpret data for business decision-making. They create spreadsheets, use formulas, and generate reports to identify trends, forecast outcomes, and support various departments with actionable insights. Excel Analysts often work with large datasets, create dashboards, and may automate tasks using Excel functions or macros. Their expertise helps organizations streamline processes and make informed decisions based on data analysis.

What is an Excel analyst?

An Excel analyst is a professional who uses Microsoft Excel to analyze data, create reports, and develop spreadsheets to support business decision-making. They often have skills in data management, formulas, pivot tables, and may use additional tools like VBA or Power Query to automate tasks.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts with skills in tools like Excel, SQL, and data visualization continue to be valuable in managing and contextualizing data beyond what AI can automate. AI complements the analyst's role rather than fully replacing it.

Is Excel a high paying skill?

Excel skills are highly valued in roles like Excel Analyst, and proficiency can lead to higher salaries, especially when combined with advanced functions, data analysis, and automation skills. While not always the highest-paying skill on its own, strong Excel expertise can improve job prospects and earning potential in data-driven positions.

What is the salary of Excel data analyst?

The salary of an Excel data analyst 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.

What is the difference between Excel Analyst vs Data Analyst?

AspectExcel AnalystData Analyst
Required CredentialsProficiency in Excel, basic data skillsExcel, SQL, statistics, sometimes certifications
Work EnvironmentOffice, primarily spreadsheet-focusedOffice, data visualization, reporting
Employer & Industry UsageFinance, marketing, operationsBroad across industries including healthcare, finance, tech
Search & Comparison IntentFocus on Excel skills, entry to mid-level rolesBroader data skills, analytical roles

Excel Analysts specialize in using Excel for data analysis, focusing on spreadsheet management and basic data tasks. Data Analysts have a broader skill set, including SQL and data visualization, and work across various industries. While Excel Analysts often focus on Excel-centric tasks, Data Analysts handle more complex data projects and tools.

What Is the Job of an Excel Analyst?

As an Excel analyst, your job is to provide an analysis of data from a project using Microsoft Excel. To accomplish this, you coordinate with other employees to gather the most useful types of data and add the data set to a spreadsheet. This typically involves coordinating with marketing and sales teams. Excel analysts often help identify, analyze, and interpret trends or patterns in complex data sets. You then help determine what factors that produced that trend and present your findings to the relevant personnel in a digestible chart. You may have other duties based on the employer. For example, if you work with a medical company, you may help identify gaps in supplies or prepare customer performance checks to look for ways of improving compliance issues.

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

To thrive as an Excel Analyst, you need strong data analysis, advanced spreadsheet modeling, and attention to detail, typically supported by coursework or certifications in Excel or data analytics. Expertise with Microsoft Excel functions such as VLOOKUP, pivot tables, macros, and possibly additional tools like Power Query or Power BI is often required. Analytical thinking, problem-solving abilities, and clear communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities ensure accurate data insights, efficient workflow management, and impactful decision-making support within an organization.
What are popular job titles related to Excel Analyst jobs in MI? For Excel Analyst jobs in MI, the most frequently searched job titles are:
Infographic showing various Excel Analyst job openings in Michigan as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $48,613 per year, or $23.4 per hour.

Business Systems Analyst (Advanced Excel)

The Talent Advantage Group

Auburn Hills, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

2008 Business Systems Analyst

Heavy Excel, Data Analysis, Issue Resolution, and Cross-Functional Business/IT Collaboration.

Position Overview

We are looking for a highly analytical Business Systems Analyst to help monitor business processes, identify data issues, investigate system problems, and work with IT teams to ensure issues are resolved.

This role is ideal for someone who enjoys working with large datasets, solving problems, identifying trends, and serving as a bridge between business users and technical teams.

The successful candidate will spend much of their time analyzing reports, validating data, researching issues, creating support tickets, tracking resolutions, and helping improve overall business operations.

Responsibilities

  • Monitor reports and business data for errors, discrepancies, and missing information.
  • Analyze large datasets using Excel and other reporting tools.
  • Investigate data quality issues and identify root causes.
  • Create detailed issue tickets for IT and development teams.
  • Track issues through resolution and validate fixes.
  • Work closely with business users, IT, product, and data teams.
  • Identify recurring problems and recommend process improvements.
  • Maintain issue logs, status reports, and documentation.
  • Support ongoing efforts to improve data quality and operational efficiency.

Required Qualifications

  • 2+ years of experience in:
    • Business Analysis
    • Data Analysis
    • Operations Analysis
    • Application Support
    • Production Support
    • Business Systems Analysis
  • Advanced Microsoft Excel skills including:
    • XLOOKUP/VLOOKUP
    • Pivot Tables
    • Filtering & Sorting
    • Data Validation
    • Working with large datasets
  • Experience identifying, researching, and resolving data or system issues.
  • Experience working with ticketing systems such as Jira, Salesforce, ServiceNow, or similar tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work with both technical and non-technical stakeholders.
  • Highly organized with strong attention to detail.

Preferred Qualifications

  • Salesforce experience.
  • Data quality or data governance experience.
  • Application Support or Production Support experience.
  • Experience working with system integrations or enterprise applications.
  • Automotive, financial services, lending, or operations experience.

Ideal Backgrounds

  • Business Systems Analyst
  • Data Analyst
  • Operations Analyst
  • Application Support Analyst
  • Production Support Analyst
  • Salesforce Analyst
  • Data Quality Analyst
  • QA Analyst
  • Incident Management Analyst

Success in This Role

You enjoy working with data, solving problems, identifying trends, and ensuring business processes run smoothly. You take ownership of issues, communicate effectively across teams, and follow through until problems are fully resolved.