Analytics Engineer

Sharpe Recruiting Ventures; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Healthcare coverage

Hybrid work model

Flexible paid time off

Job summary

Sharpe Recruiting Ventures is seeking an Analytics Engineer to join as an early member of the Data Team in New York. You will help build systems powering artist sourcing, track pricing, portfolio management, and catalog growth with high autonomy and direct business impact.

Collaborate across analytics, engineering and product; own models and transformations; improve data quality, integrate datasets, and explore LLM-powered tools to automate workflows.

Qualifications

• 5+ years in analytics engineering or data analytics roles.
• Strong SQL and Python for data modeling, transformation, and automation.
• Hands-on BI experience with Looker or Tableau.
• Ability to translate complex data into 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 is preferred.
• Experience collaborating on or implementing LLM-powered internal tools or workflows.

Responsibilities

• Own the core models, transformations, and analytics products that drive track and catalog pricing.
• 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 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.

Skills

Analytics experience

SQL

Python

Data storytelling

Autonomy

Stakeholder communication

Builder mindset

Music data

Tools

Looker

Tableau

LLM tooling

Job description

About the Company

Our client is a fast-growing, venture-backed music company that helps independent music creators monetize and grow their careers. The company partners with creators to unlock the value of their catalogs through flexible, straightforward deals, and also offers catalog management, distribution, and marketing services. It has partnered with a large and growing roster of independent creators around the world, helping them monetize their music on their own terms and reach new audiences.

Backed by leading investors and significant capital raised to fund independent creators, the company is driven by a belief in independence and financial empowerment and is building a more sustainable future for music creators everywhere.

The company has offices in several major cities, including New York, and offers a competitive benefits package that includes healthcare coverage, flexible paid time off, and a hybrid work model. It is an ambitious, high-ownership environment where your work will have an

Role Overview

We’re looking for an Analytics Engineer to join as an early member of the 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 the company’s data products.

Because data fuels everything the company does, the Data Team works horizontally across the entire organization. While your core focus will be deal-flow optimization and catalog pricing, which sit at the core of the 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
• 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
• 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