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Music Data Analytics Remote Jobs in New York (NOW HIRING)

REMOTE THE ROLE: As a Staff Data Analyst, you will play a central role in shaping the future of ... music industry * Examples of using AI to improve day-to-day analytics team workflows

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a ...

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ... Can lead a team of data analysts Requirements: * 4+ years of technical work experience using ...

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ... Can lead a team of data analysts Requirements: * 4+ years of technical work experience using ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

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Music Data Analytics Remote information

What is a music data analytics remote job?

A Music Data Analytics Remote job involves analyzing data related to music consumption, trends, and performance from a remote location. Professionals in this role collect and interpret data from streaming platforms, social media, and sales to help artists, labels, and music services make informed decisions. They use statistical tools and data visualization techniques to uncover patterns and insights in music listening behavior. This job typically requires strong analytical skills, knowledge of data tools, and a passion for music and technology.

What are the key skills and qualifications needed to thrive as a music data analytics professional working remotely?

To excel as a Music Data Analytics professional in a remote setting, you need strong analytical skills, proficiency in statistics, and a background in data science or music business. Familiarity with tools like SQL, Python, R, Tableau, and music industry databases is typically required, along with experience using analytics platforms. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for translating data insights and collaborating virtually with stakeholders. These competencies are vital for extracting actionable insights from music data, driving business decisions, and thriving in a distributed work environment.

What are some common challenges faced by remote music data analytics professionals, and how can they be addressed?

Remote Music Data Analytics professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and staying aligned with fast-paced changes in the music industry. To address these, it's important to establish clear communication channels with team members, utilize cloud-based data management tools, and participate in regular virtual meetings to stay updated. Developing strong self-management skills and leveraging collaborative platforms can also help ensure smooth project workflows and timely delivery of analytical insights.

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

AspectMusic Data Analytics RemoteMusic Data Analyst
CredentialsBachelor's in Data Science, Music Industry, or related field; experience with analytics toolsBachelor's in Data Science, Statistics, or Music Business; proficiency in data analysis software
Work EnvironmentRemote, flexible hours, often freelance or contract-basedTypically office or remote, full-time or part-time roles in music companies or agencies
Industry UsageUsed by music streaming services, record labels, and analytics firmsCommonly employed within music labels, streaming platforms, and market research firms

Music Data Analytics Remote involves analyzing music industry data remotely, often on a freelance basis, focusing on insights for streaming and marketing. Music Data Analyst roles are more traditional, full-time positions within companies, requiring similar skills but often with more structured work environments. Both roles require strong analytical skills and industry knowledge, but differ mainly in work setting and employment type.

How to become a music data analyst?

To become a music data analyst, you typically need a bachelor's degree in data science, statistics, or a related field, along with strong analytical skills and proficiency in tools like Excel, SQL, and data visualization software. Experience with music industry data, programming languages such as Python or R, and understanding of music metrics can enhance your qualifications. Gaining relevant internships or projects can also help build practical expertise in analyzing music trends and consumer behavior.

Is data analytics a good career for remote work?

Data analytics roles, including those in music data analytics, are well-suited for remote work due to the reliance on digital tools, data analysis software, and cloud-based platforms. These jobs often require strong analytical skills, proficiency in programming languages like Python or R, and the ability to communicate insights virtually, making remote work feasible and common in the field.

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

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

What job categories do people searching Music Data Analytics Remote jobs in New York look for?

The top searched job categories for Music Data Analytics Remote jobs in New York are:

What cities in New York are hiring for Music Data Analytics Remote jobs?

Cities in New York with the most Music Data Analytics Remote job openings:

Staff Data Analyst (Remote US)

Splice

New York, NY • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

WHO WE ARE:  

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

HOW WE WORK:  

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us.
Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.
When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Staff Data Analyst 
LOCATION: REMOTE

THE ROLE: As a Staff Data Analyst, you will play a central role in shaping the future of Splice by ensuring that decisions about what we build and how we build it are guided by robust and accurate data insights. You will join the existing analytics team and work as a key collaborator as we continue to modernize our data stack in an AI-first world. This is a highly-visible cross-functional role that can alternate between working with executive leadership and specific engineering teams. 

TEAM INFORMATION: Our centralized analytics team supports Splice wherever data is present. This includes (but is not limited to) product analytics, marketing analytics and business operations.

WHAT YOU'LL DO:

  • Data Modeling: Build and maintain data models which drive valuable insights and support critical day to day workflows.
  • XFN Partnerships: Translate complex questions into actionable metrics company-wide (across Product, Marketing, Audio Development and others)
  • Activation & Growth Analytics: Partner with Product and Marketing to analyze user activation funnels, identify drop-off points, and design/interpret A/B tests.
  • Dashboards & Self-Serve: Create and manage self-serve reporting tools and dashboards via Omni to track growth KPIs and overall product health.
  • Analytics Infrastructure: Optimize and track use cases for different components of our data stack, including Omni, Hex and Segment. Drive adoption and propose alternative solutions where needed
  • Ad Hoc Insights: Deliver data-driven insights to support leadership, product, and marketing stakeholders.

JOB REQUIREMENTS:

  • 10+ years of experience in Data Analytics or a similar roles
  • Demonstrated experience with BI platforms (e.g. Omni, Looker, Tableau, PowerBI, Qlik) including semantic layer
  • Strong knowledge of statistical concepts including trend analysis, hypothesis testing, and confidence intervals.
  • Advanced SQL ability: Must be comfortable with advanced concepts including CTEs, ELT vs ETL and managing query costs across large datasets.
  • Basic proficiency in scripting languages such as Python or R
  • Previous experience working within a product or marketing organization, with a good grasp of product development and go-to-market dynamics.
  • Experience with enterprise data solutions across product analytics, data ingestion and reporting and contributing via git. We use Segment, Amplitude, LaunchDarkly, Omni, GitHub, BigQuery, SQLMesh, and Fivetran – among others

NICE TO HAVES:

  • An understanding of Bayesian Inference
  • Experience building and managing a data team roadmap 
  • Demonstrated experience in setting company-level KPIs 
  • Knowledge of sound engineering, musical foundations or experience working in the music industry 
  • Examples of using AI to improve day-to-day analytics team workflows 
  • Understanding of marketing analytics toolkits and workflows: deploying tracking pixels, managing/understanding ad spend, reconciling google analytics and internal data 
  • Experience working with Data Engineering teams to drive governance 

SPLICE BENEFITS: 

  • Compensation & Equity: Competitive pay with annual reviews and equity opportunities.
  • Time Off: Unlimited PTO to recharge and thrive.
  • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents.
  • Retirement Savings: 401(k) plan with immediate vesting and company match.
  • Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
  • Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide.
  • Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities.
  • Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups.

The national pay range for this role is $160,272 - $200,340. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer 
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.