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Freelance Music Data Analyst Jobs in Indiana (NOW HIRING)

Operations Business Analyst

Elkhart, IN ยท On-site

$60 - $80/hr

This is an onsite position located in Elkhart, IN At Conn Selmer, we're passionate about music and ... Collect, integrate, validate, and model data from Manufacturing, Distribution, Transportation ...

New

Sweetwater, the nation's number one online retailer of music instruments and pro audio gear, is ... data analysis, specifically related to fulfillment, distribution, or supply chain operations โ€ข ...

Software Delivery Analyst Sweetwater, the nation's number one online retailer of music instruments ... In summary, your responsibilities include data analysis, technical analysis, and project management.

Performance Creative Lead

Evansville, IN ยท Remote

$70K - $80K/yr

... freelancers, but your primary responsibility is determining what should be created and why, not ... Comfortable analyzing marketing data and translating insights into creative decisions. * Experience ...

Marketing Manager

Indianapolis, IN ยท On-site

$100 - $125/hr

Work in Canva, direct freelancers, and use generative AI tools for visual assets * Report day-to ... Data Analysis * Conversion Rate Optimization * Brand Positioning * Investor Relations Soft Skills

New

$14/hr

If you're curious, internet-savvy, and enjoy evaluating online content, this freelance project could be a great fit. A Day in the Life of a Content Reviewer - US In this role, you will analyze and ...

Showing results 21-40

Freelance Music Data Analyst information

What does a freelance music data analyst do?

A Freelance Music Data Analyst collects, processes, and interprets data related to music consumption, trends, and audience behavior. They work with music streaming statistics, sales data, social media analytics, and other sources to help artists, record labels, and platforms make informed business decisions. Their tasks may include creating reports, identifying patterns, and providing actionable insights to improve marketing strategies, playlist placements, and overall engagement with listeners. Working freelance means they operate independently, often collaborating with multiple clients on a project basis.

How does a freelance music data analyst typically collaborate with music industry clients and stakeholders?

As a Freelance Music Data Analyst, you will often work closely with artists, record labels, streaming platforms, and marketing teams to interpret and present music consumption data. Communication is key, as clients may have varying levels of data literacy and unique goals, so you'll need to tailor your reports and visualizations accordingly. Collaboration is typically remote and project-based, requiring clear updates, regular check-ins, and the ability to translate technical findings into actionable insights that support business or creative decisions.

What are the key skills and qualifications needed to thrive as a freelance music data analyst, and why are they important?

To thrive as a Freelance Music Data Analyst, you need strong analytical skills, proficiency in statistics, and experience with music industry datasets, typically supported by a degree in data science, statistics, or a related field. Familiarity with technical tools such as SQL, Python, R, and platforms like Spotify API or Billboard analytics, as well as data visualization software like Tableau, is essential. Strong communication, attention to detail, and the ability to translate complex data into actionable insights help set you apart in this role. These skills are crucial for delivering meaningful analyses that inform business decisions and drive success in the fast-evolving music industry.

What is the difference between Freelance Music Data Analyst vs Music Data Scientist?

AspectFreelance Music Data AnalystMusic Data Scientist
CredentialsTypically requires a degree in data analysis, statistics, or music technology; certifications are a plusRequires advanced degrees (Master's or PhD) in data science, machine learning, or related fields
Work EnvironmentFreelance, project-based, often remote, working with multiple clientsUsually employed by companies or research institutions, but can also work freelance with specialized projects
Industry UsageUsed in music streaming, marketing, and production for data analysis and insightsApplied in music recommendation systems, audio analysis, and research

While both roles involve analyzing music data, a Freelance Music Data Analyst typically works independently on various projects, focusing on data interpretation and reporting. A Music Data Scientist often has a more advanced technical background, working on developing algorithms and models for music applications. The choice depends on your expertise level and career goals.

What are popular job titles related to Freelance Music Data Analyst jobs in Indiana?

For Freelance Music Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Freelance Music Data Analyst jobs in Indiana look for?

The top searched job categories for Freelance Music Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Freelance Music Data Analyst jobs?

Cities in Indiana with the most Freelance Music Data Analyst job openings:

Operations Business Analyst

Socket.dev

Elkhart, IN โ€ข On-site

$60 - $80/hr

Other

Posted 3 days ago

New


Job description

This is an onsite position located in Elkhart, IN

At Conn Selmer, we're passionate about music and dedicated to producing the highest-quality instruments for musicians of all skill levels. As a member of our organization, we seek candidates who possess the following values: Integrity, Excellence, Teamwork, Inclusivity, and Innovation. Please see our Conn Selmer website (www.connselmer.com) for more information about who we are.

The Operations Business Analyst reports directly to the SVP, Global Manufacturing and Distribution with dotted line reporting to Finance.

This position supports the Global Manufacturing & Distribution organization by collecting, integrating, analyzing, and interpreting operational and financial data to identify root causes, recommend business improvements, and support fact-based operational decision-making. Develops reports, dashboards, analytical models, and performance metrics for Manufacturing, Quality, Distribution, Transportation & Logistics, Inventory, Supply Chain, and Sales & Operations Planning (S&OP) to improve operational visibility, customer service, and business performance. Partner with Operations, Finance, Planning, Procurement, Quality, Distribution, and Transportation teams to identify trends, quantify business impact, automate reporting, respond to ad hoc analytical requests, and support continuous improvement initiatives. Ensures cost structures for import products are accurate โ€“ including purchase prices, freight and tariff. Responsible for imported product standard cost rolls and ownership of Freight and Tariff cost structures; including proper rate setting for standard cost roll. Develops financial and operational models to evaluate business scenarios and operational decisions.

Responsibilities
  • Collect, integrate, validate, and model data from Manufacturing, Distribution, Transportation, Quality, Supply Chain, Finance, Planning, ERP, and Microsoft Dynamics 365.
  • Analyze operational performance to identify trends, root causes, risks, and improvement opportunities.
  • Conduct structured Root Cause Analysis (RCA) and provide data-driven recommendations.
  • Develop action plans that clearly define responsibilities, timelines, expected outcomes, and success measures.
  • Translate complex analytical findings into concise dashboards, visualizations, reports, presentations, and business cases that support leadership decision-making, strategic initiatives, and business development opportunities.
  • Develop and automate Power BI dashboards and KPIs including forecast accuracy, inventory position versus safety stock, stockouts, inventory health, schedule attainment, manufacturing productivity, quality performance, transportation performance, and customer service metrics.
  • Support automation of data collection and KPI reporting for the Executive S&OP process.
  • Support ongoing Microsoft Dynamics 365 reporting, process improvements, data validation, and operational analytics.
  • Analyze manufacturing productivity, labor efficiency, production variances, and manufacturing P&L performance.
  • Support inventory optimization through analysis of inventory turns, excess and obsolete inventory, working capital, and inventory positioning.
  • Analyze Distribution Center performance including order fulfillment, warehouse productivity, shipping performance, order cycle time, distribution costs, and customer service metrics.
  • Analyze transportation and logistics performance including freight cost, carrier performance, on-time delivery, premium freight, shipment consolidation opportunities, mode optimization, and transportation cost reduction initiatives.
  • Support Plant Performance Reviews and Executive S&OP by preparing analyses and presentation materials.
  • Maintain data integrity and support master data governance.
  • Support continuous improvement initiatives by measuring KPI performance, tracking corrective actions, evaluating business results, and conducting analyses to support management decision-making.
  • Reconcile foreign vendor inventory, and inventory in transit (to and from โ€“ water location)
  • Perform and Analyze Periodic Cycle Count Audits
Requirements
  • Bachelor's degree in Industrial Engineering, Supply Chain, Operations Management, Business Analytics, Finance, Data Analytics, or related field.
  • Three (3) to five (5) years of experience in manufacturing, supply chain, operations, finance, business analytics, industrial engineering, business analytics, transportation, or distribution.
  • Advanced Microsoft Excel required.
  • Power BI required; Microsoft Dynamics 365 experience preferred.
  • Knowledge of LSS, Kaizen, root-cause analysis or continuous-improvement methodologies and operational excellence preferred.
  • Strong analytical and structured problem-solving skills.
  • Demonstrated ability to collect, analyze, model, and present data in a clear and understandable format.
  • Strong written and verbal communication skills.
  • Manufacturing environment experience preferred.
  • Requires periods of sedentary work, daily standing and walking on shop floor.
  • Requires repetitive upper body movement โ€“ keyboard and monitor use.
  • Visual acuity.
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