The Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.
About Duetti
Duetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries - including Connor Price, Ingrid Contreras, and Brent Morgan - helping them monetize their music on their own terms and reach new audiences.
Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere.
With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an ambitious, high-ownership environment where your work will have an immediate, tangible impact.
Job Description
We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products.
Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.
You Will:
- Own the core models, transformations, and analytics products that drive track and catalog pricing decisions
- Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health
- Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets
- Work closely with Product to design internal tools, workflows, and decision support systems
- Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams
- Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs
- Explore and build LLM-powered internal tools that automate data workflows
Requirements:
- 5+ years in analytics engineering or data analytics roles within high-growth environments
- Strong SQL & Python skills for data modeling, transformation, and automation
- Hands-on experience with BI tools (Looker, Tableau, or equivalent)
- Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders
- A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack
- Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)
- Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but not required)
Top Skills
Bi Tools (Looker
Python
SQL
Tableau)
Duetti New York, New York, USA Office
New York, NY , United States
Similar Jobs
Healthtech • Information Technology • Software • Telehealth
As a Staff Analytics Engineer, you'll lead the creation and maintenance of analytics solutions, developing data models and driving insights for decision-making across Zocdoc.
Top Skills:
AmplitudeDagsterDbtLookerPythonSQL
Fintech • HR Tech
The GTM Analytics Engineer will build and maintain data infrastructure, automate processes, and collaborate across teams on data management and insights to support revenue growth.
Top Skills:
AirflowDbtETLGitHexLookerModePythonRedshiftSigmaSnowflakeSQLTableau
Information Technology
Design, build, and operationalize cloud-based data pipelines and transform raw data into analysis-ready datasets. Collaborate with business, analytics, and engineering teams to develop data models, automate data preparation, and document transformations. Support Power BI models and dashboards, improve data accessibility and reliability, and mentor peers while exploring new data technologies and automation techniques.
Top Skills:
AzureAzure Data FactoryAzure Data LakeFabric Data FactoryLlm-Based ToolsPower BIPythonSQLSsis
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
