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Music Data Analytics Remote Jobs in Portland, ME

Technical Lead, Data Analytics

Portland, ME ยท On-site +1

$100K - $140K/yr

Technical Lead, Data Analytics Department: Arkalytics - Support Employment Type: Full Time Location ... Remote Compensation: $100,000 - $140,000 / year Description Technical Lead | SQL | Snowflake ...

The Opportunity As the Technical Lead, Data Analytics , you'll serve as the senior technical expert ... Flexible remote work with optional access to our Portland, Maine office * Four-day work week after ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

Music Technology & Music Information Retrieval * Product Design and Management * User Experience & Visual Design * Data Security and Privacy * Data Analytics * Operations * Clinical and Regulatory ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

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Music Data Analytics Remote information

See Portland, ME salary details

$25

$56

$96

How much do music data analytics remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for music data analytics remote in Portland, ME is $56.01, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $63.46 per hour, depending on experience, location, and employer.

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 popular job titles related to Music Data Analytics Remote jobs in Portland, ME?

For Music Data Analytics Remote jobs in Portland, ME, the most frequently searched job titles are:

Infographic showing various Music Data Analytics Remote job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,506 per year, or $56 per hour.

Technical Lead, Data Analytics

Arkatechture

Portland, ME โ€ข On-site, Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Technical Lead, Data Analytics
Department: Arkalytics - Support
Employment Type: Full Time
Location: Remote
Compensation: $100,000 - $140,000 / year
Description
Technical Lead | SQL | Snowflake | Tableau | AWS
At Arkatechture, we believe data should empower better decisions. Since 2012, we've partnered with financial institutions across the country to solve complex data challenges through modern analytics, cloud technologies, and AI-powered solutions.
Our mission is built on three simple pillars:
  • Do something meaningful
  • With a great team
  • Earning what you deserve

We're looking for an experienced technical leader who is passionate about solving complex data problems, mentoring others, and helping customers unlock the full potential of their data. If you enjoy writing SQL one minute, architecting a cloud data solution the next, and coaching teammates along the way, we'd love to meet you.
As the Technical Lead, Data Analytics, you'll serve as the senior technical expert for a portfolio of enterprise customers while helping shape the future of our Support Services team.
This is a hands-on technical leadership role, not a people manager who occasionally reviews code. You'll spend much of your time solving challenging SQL and cloud data platform problems, partnering directly with customers, mentoring analysts, and driving technical excellence across the organization.
While this role is expected to grow into formal people leadership, your technical expertise, problem-solving ability, and customer partnership skills are what will make you successful from day one.
Key Responsibilities
  • Serve as the senior technical resource for our Business Intelligence and Data Analytics Support team.
  • Lead the investigation and resolution of complex customer issues involving data, analytics, and cloud platforms.
  • Perform root cause analysis and implement scalable, long-term solutions-not just quick fixes.
  • Review SQL and BI object changes while promoting development best practices.
  • Mentor and coach analysts, helping elevate the technical capabilities of the entire team.
  • Identify opportunities for automation and continuous improvement across support processes.
  • Lead root cause analysis meetings as necessary to dig into any thematic issues that crop up and how we can mitigate them
  • Help customers maximize the value of Arkatechture's analytics platform through technical guidance and best practices.
  • Partner closely with Customer Success to improve customer satisfaction, retention, and platform adoption.
  • Support customer meetings by offering technical expertise, hold office hours, expand upon Knowledge Base articles and Learning Management System training for customers.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Design, develop, troubleshoot, and optimize complex SQL solutions.
  • Troubleshoot ELT processes, data pipelines, and BI reporting environments.
  • Monitor and resolve issues with Tableau and Power BI dashboards and scheduled refreshes.
  • Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer solutions.

Skills, Knowledge and Expertise
We're looking for someone who enjoys solving difficult technical problems and helping others do the same.
  • 6+ years of experience working with SQL in production environments
  • Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL Server, Oracle, Redshift, Synapse, BigQuery, or similar)
  • Strong experience designing, troubleshooting, and optimizing data warehouses and analytics solutions
  • Experience with Tableau and Power BI
  • A strong understanding of data modeling, ELTprocesses, and modern analytics architecture
  • Exceptional analytical and troubleshooting skills
  • Outstanding communication skills and the ability to build trusted customer relationships
  • Experience mentoring teammates or serving as a technical leader
  • Experience with Agile development practices and tools such as Jira, Confluence, and Bitbucket

Experience with any of the following is a plus:
  • Professional Python experience
  • Experience supporting cloud infrastructure, preferably AWS
  • Financial services, banking, or credit union technology
  • Customer-facing consulting or technical support leadership
  • Modern data engineering and cloud architecture
  • Data governance or data quality initiatives
  • AI or machine learning technologies

Why You'll Love Working Here
At Arkatechture, you'll work alongside curious, collaborative people who genuinely enjoy solving hard problems together.
We offer:
  • Flexible remote work with optional access to our Portland, Maine office
  • Four-day work week after three years of service
  • Competitive salary and comprehensive benefits
  • Medical, disability, life insurance, and optional dental and vision coverage
  • 401(k) with company match
  • Generous paid time off and paid holidays
  • Professional development and certification reimbursement
  • Opportunities to influence our technical direction while continuing to grow your own expertise

We're proud of the culture we've built. We hire people who are humble, curious, collaborative, and driven by continuous improvement.
Our values guide everything we do:
  • Put the team first.
  • Practice humility.
  • Take pride in your work.
  • Stay curious.
  • Care for your community and the environment.
  • Take the work seriously, but not yourself.

If you're excited about building innovative data solutions, solving complex technical challenges, and helping shape a growing technical team, we'd love to hear from you.
To help us get to know you, please include your resume and answer the following question in the cover letter section of the application:
Describe the most technically challenging SQL or cloud database problem you've solved. What was the issue, how did you approach it, and what was the outcome? (250 words or less.)
Don't meet every qualification listed above? We still encourage you to apply. Research consistently shows that talented candidates, particularly women and underrepresented groups, often hesitate to apply unless they meet every requirement. If this role excites you, we'd love to hear from you.