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Internship Music Data Analytics Jobs in Utah (NOW HIRING)

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... the internship * Cumulative 3.0 GPA or above (verified at time of hire) * Must be legally ...

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Minimum 1 year of representative accounting experience ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Showing results 21-40

Internship Music Data Analytics information

What is an internship in music data analytics?

An Internship in Music Data Analytics is a temporary position, often for students or recent graduates, where you work with music industry data to uncover trends, patterns, and insights. Interns typically analyze streaming numbers, audience demographics, and social media metrics to help artists, labels, or platforms make data-driven decisions. The role combines analytical skills, knowledge of music, and familiarity with data tools like Excel, Python, or specialized analytics platforms. This experience is valuable for those interested in music business, data science, or both.

What types of projects or tasks can I expect to work on during a music data analytics internship?

As a Music Data Analytics intern, you can expect to work on projects such as analyzing streaming trends, developing data visualizations, and supporting the evaluation of listener demographics for marketing or A&R teams. You'll likely collaborate with other analysts, data scientists, and sometimes product managers or marketing teams to extract insights from large music datasets. Typical tasks might include cleaning and organizing data, building dashboards, and helping to generate reports that inform business or creative decisions. This hands-on experience will give you an understanding of both the technical and strategic side of data analytics within the music industry.

What are the key skills and qualifications needed to thrive as an internship in music data analytics, and why are they important?

To thrive as an Internship Music Data Analytics, you need a solid grounding in statistics, data analysis, and familiarity with the music industry, often supported by coursework in data science or music business. Proficiency with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present insights clearly. These abilities are crucial for transforming complex music data into actionable strategies that support business decisions.

What is the difference between Internship Music Data Analytics vs Music Data Analyst?

AspectInternship Music Data AnalyticsMusic Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant programBachelor's or higher in data science, analytics, or related field
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time professional role, project-driven
Employer & Industry UsageMusic companies, labels, streaming services for trainingMusic industry companies, analytics firms, streaming platforms

Internship Music Data Analytics positions are entry-level, focused on learning and gaining experience in music data analysis. Music Data Analysts are full-time professionals responsible for analyzing music data to inform business decisions. Internships serve as a stepping stone toward a career as a Music Data Analyst, which requires more experience and advanced skills.

What are the most commonly searched types of Music Data Analytics jobs in Utah?

The most popular types of Music Data Analytics jobs in Utah are:

What are popular job titles related to Internship Music Data Analytics jobs in Utah?

For Internship Music Data Analytics jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Internship Music Data Analytics jobs in Utah look for?

The top searched job categories for Internship Music Data Analytics jobs in Utah are:

What cities in Utah are hiring for Internship Music Data Analytics jobs?

Cities in Utah with the most Internship Music Data Analytics job openings:

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Salt Lake City, UT • On-site, Remote

$35/hr

Temporary, Internship

Posted 5 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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