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Entry Level Data Analysis Excel Jobs in Detroit, MI

Hart

Junior Data Analyst

Detroit, MI · On-site

... Excel and PowerPoint for analysis and reporting • Familiarity with performance marketing or social media metrics (Meta, Instagram, TikTok, etc.) • Foundational knowledge of data analytics and ...

Avfuel

Financial Analyst

Ann Arbor, MI · On-site

Drive financial results through data analysis * Build and maintain detailed financial models and ... Advanced proficiency in Microsoft Office Suite including advanced Excel * Experience with Power BI ...

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All JobsData Analysis Excel JobsEntry Level Data Analysis Excel JobsEntry Level Data Analysis Excel Jobs in Detroit, MI

Entry Level Data Analysis Excel information

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$61

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

As of Aug 22, 2026, the average hourly pay for entry level data analysis excel in Detroit, MI is $32.60, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.39 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.

What are the most commonly searched types of Data Analysis Excel jobs in Detroit, MI?

The most popular types of Data Analysis Excel jobs in Detroit, MI are:

What are popular job titles related to Entry Level Data Analysis Excel jobs in Detroit, MI?

For Entry Level Data Analysis Excel jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analysis Excel jobs in Detroit, MI look for?

The top searched job categories for Entry Level Data Analysis Excel jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Entry Level Data Analysis Excel jobs?

Cities near Detroit, MI with the most Entry Level Data Analysis Excel job openings:

Entry Level Data Analysis Excel jobs near you
Infographic showing various Entry Level Data Analysis Excel job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $67,800 per year, or $32.6 per hour.

Digital Manufacturing Analyst (Junior / Entry-Level)

Aquent

Royal Oak, MI • On-site, Remote

$30 - $40/hr

Temporary

Posted 3 days ago

New

Job description

Placement Type:
Temporary
Salary:
$30-40 Hourly
Start Date:
ASAP
Are you a self-described "data nerd" who genuinely enjoys digging into raw data, finding patterns, and making processes cleaner and more consistent?
Our Digital Manufacturing Intelligence team is seeking a Junior Digital Manufacturing Analyst to support ongoing enterprise data analytics, dashboard scaling, and process monitoring across multiple continuous manufacturing facilities. This is a 100% remote, long-term contract role (20-30 hours per week) designed for an entry-level or early-career technical professional (0-2 years of experience) who thrives on solving real-world operational problems through data.
Key Highlights of the Role:
  • Role Type: Ongoing Temporary / Contract Staff Augmentation (20-30 hours/week)
  • Location: 100% Remote (Primary facilities located across the US)
  • Work Authorization: Must be a US Citizen or Green Card Holder; No C2C
  • Core Focus: Building and standardizing enterprise dashboards (Power BI, Python), auditing plant data signals, and supporting Statistical Process Control (SPC) charting.
  • Professional Growth: Hands-on experience working directly with plant engineers and digital transformation leaders, plus full company-sponsored training on Seeq (industrial analytics platform).
Key Responsibilities:
  • Dashboard Development & Standardization: Update, enhance, and standardize manufacturing dashboards across multiple plant locations to ensure consistent visual layouts, units, and metrics.
  • Manufacturing Data Auditing & Analysis: Gather, clean, and audit plant production and equipment signal data across databases to identify gaps, trends, and anomalies.
  • Process Performance Monitoring: Build and maintain Statistical Process Control (SPC) charts and monitoring visualizations to support process control and root cause investigations.
  • Cross-Functional Collaboration: Partner with plant engineers, reliability specialists, and remote data teams to refine metrics, present findings, and continuously improve tools.
What We're Looking For:
  • Education: Recent graduate or currently pursuing a degree in Engineering (Chemical, Mechanical, Electrical, Mechatronics, Reliability), Computer Science, Engineering Technology, or a related technical discipline.
  • Technical Skills: Familiarity or experience with data analysis and BI tools (Python, Power BI, SQL, or similar platforms). Full training provided on Seeq.
  • Process Understanding: Foundational awareness of manufacturing process data, signals (pressure, temperature, current), and basic statistical process control concepts.
  • Mindset: Highly detail-oriented (focus on consistency, formatting, and accuracy), self-motivated for remote work, and naturally curious about how manufacturing systems work.
Preferred Qualifications
  • Exposure to industrial environments, SCADA, MES systems, or process control systems.
  • Experience in glass, building products, or continuous process manufacturing.

#LI-LDR
Client Description
Owens Corning is an American company that develops and produces insulation, roofing, and fiberglass composites and related materials and products. It is the world's largest manufacturer of fiberglass composites. It was formed in 1935 as a partnership between two major American glassworks, Corning Glass Works and Owens-Illinois

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