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Entry Level Music Data Analyst Jobs in Michigan (NOW HIRING)

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

IBM

AI, Analytics, Automation & Data Services - focused on helping organizations modernize data ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

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Entry Level Music Data Analyst information

What does an entry level music data analyst do?

An Entry Level Music Data Analyst is responsible for collecting, organizing, and analyzing data related to music, such as streaming numbers, listener demographics, and song performance metrics. They use tools like Excel, SQL, and data visualization software to identify trends and provide insights to record labels, artists, or music streaming platforms. Their work helps inform marketing strategies, playlist placements, and business decisions in the music industry. Typically, they collaborate with other analysts, marketing teams, and artists to turn data findings into actionable recommendations.

What are the key skills and qualifications needed to thrive as an entry level music data analyst, and why are they important?

To thrive as an Entry Level Music Data Analyst, you need a solid understanding of data analysis, statistics, and music industry fundamentals, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau), spreadsheet software, and programming languages such as Python or R is typically required. Strong attention to detail, analytical thinking, and clear communication skills help translate complex data into actionable insights for stakeholders. These skills are crucial for providing meaningful analysis that informs decision-making and supports growth in the fast-evolving music industry.

What are some common challenges faced by entry level music data analysts, and how can they effectively overcome them?

Entry level music data analysts often encounter challenges such as interpreting large, complex datasets from multiple sources (like streaming platforms, sales, and social media) and translating raw data into actionable insights for stakeholders. Collaborating with cross-functional teams, such as marketing or A&R, can require strong communication skills to present technical findings in an accessible way. To overcome these challenges, new analysts should focus on developing proficiency in data analysis tools, seek mentorship from experienced colleagues, and proactively engage in ongoing learning about industry trends and analytics best practices.

What is the difference between Entry Level Music Data Analyst vs Entry Level Music Data Coordinator?

AspectEntry Level Music Data AnalystEntry Level Music Data Coordinator
Required CredentialsBachelor's in Music, Data Science, or related field; basic analytical skillsBachelor's in Music, Business, or related field; organizational skills
Work EnvironmentData analysis teams, music labels, streaming platformsMusic production companies, labels, event organizations
Employer & Industry UsageUsed for analyzing music trends, listener data, and salesUsed for managing music assets, scheduling, and data entry

While both roles involve working with music data, the Entry Level Music Data Analyst focuses on analyzing data to inform business decisions, whereas the Entry Level Music Data Coordinator handles organizing and managing music-related information. The analyst role requires more analytical skills, while the coordinator role emphasizes organizational abilities.

What are the most commonly searched types of Music Data Analyst jobs in Michigan?

The most popular types of Music Data Analyst jobs in Michigan are:

What are popular job titles related to Entry Level Music Data Analyst jobs in Michigan?

For Entry Level Music Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Music Data Analyst jobs in Michigan look for?

The top searched job categories for Entry Level Music Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Music Data Analyst jobs?

Cities in Michigan with the most Entry Level Music Data Analyst job openings:

Entry Level Music Data Analyst jobs near you
Infographic showing various Entry Level Music Data Analyst job openings in Michigan as of September 2026, with employment types broken down into 60% Full Time, 18% Part Time, and 22% Contract. Highlights an 100% In-person job distribution.

End of Line Data Analyst & NVH Solution Set Developer

Auburn Hills, MI • On-site

Groupe SEGULA Technologies SA
See more jobs at Groupe SEGULA Technologies SAexternal

Other

Posted 13 days ago

Job description

The End of Line (EOL) Data Analyst & NVH Solution Set Developer is an entry-level to early-career role focused on using Minitab, Microsoft Excel, and structured data analysis to support the monitoring, analysis, and improvement of production end-of-line data systems. In this role, you will develop interim and permanent corrective action solution sets for complex noise, vibration, and harshness (NVH) challenges. You will partner with engineering, manufacturing, quality, calibration, validation, and plant operations teams to ensure EOL data is accurate, actionable, and effectively used to identify trends, resolve issues, and drive continuous improvement.

Key Responsibilities

  • Develop data-driven interim and permanent corrective action solution sets for complex noise and vibration challenges based on EOL data trends, statistical analysis, NVH findings, root-cause inputs, and cross-functional engineering feedback.

  • Monitor daily end-of-line test results, production data, and summary reports to identify statistically significant trends, recurring failure modes, population shifts, and emerging quality concerns.

  • Translate EOL and NVH analysis into practical containment actions, test adjustments, process recommendations, issue-screening logic, and longer-term corrective action paths.

  • Utilize Microsoft Excel and Minitab to analyze EOL test stand and production measurement datasets, emphasizing trend analysis, population comparisons, control charts, capability studies, and pass/fail performance.

  • Perform basic to intermediate statistical analysis, including data sorting, filtering, pivot tables, summary statistics, distribution reviews, outlier checks, control limits, process capability, regression, and variation studies.

  • Support the development and maintenance of dashboards, Excel-based trackers, Minitab studies, reports, and data visualization tools that communicate EOL performance to plant stakeholders.

  • Assist with EOL limit setting and validation by reviewing population statistics, measurement variation, normality, capability, control chart behavior, false-fail risk, and pass/fail margins.

  • Work with engineering and manufacturing teams to validate measurement outputs and support proper interpretation of EOL results.

  • Provide timely analysis and supporting data during launch, production ramp-up, quality spills, audit findings, and issue resolution activities.

  • Document analysis methods, reporting processes, lessons learned, and standard work for repeatable EOL data review.

Work Arrangement:

On-site / Plant-facing - travel to plants is required

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