Job Title: Senior Analytics Engineer
Location: New York, New York (Remote)
W2 ONLY – We are not able to sponsor now or in the future for this role
Music industry experience is required for this role
Job Summary: Were looking for a Senior Analytics Engineer to help build the data foundations. This is a greenfield project – you’ll take a program from zero to one, standing up the core data infrastructure, measurement workflows, and audience tooling needed to support a large-scale marketing and support effort. At the same time, you’ll apply and extend these patterns across our existing for marketing programs, strengthening the shared data foundation that powers multiple brand initiatives.
Responsibilities
- Stand up core data foundations for a new, largescale artist marketing program – from raw events and source tables to clean, well modeled dbt datasets.
- Design and implement new data entities to track program concepts, segments, and interventions in order to enable measurement, audience building, and marketing activations.
- Define and implement automated (AI-assisted) measurement workflows for brand marketing programs: identify technical requirements, build input datasets, create dashboards and agentic insights tools for descriptive tracking and health monitoring.
- Build and maintain robust data pipelines using tools like dbt and workflow schedulers (e.g., Airflow), ensuring reliability, observability, and data quality.
- Enable audience management at scale by creating reusable data models and tools to manage email and in product audiences, including support for internal audience building systems.
- Develop interactive dashboards and self service tools that help marketing, partnerships, and content teams explore program artists and make better decisions, faster.
- Partner closely with marketing and data science stakeholders to scope requirements, align on instrumentation needs, and translate business questions into scalable data solutions.
- Champion analytics engineering best practices – testing, documentation, code review, CI/CD for analytics code, and data governance standards.
Requirements
- You have 5+ years of experience in analytics engineering, data engineering, business intelligence, or data science in a fast paced environment.
- Music industry experience is required for this role
- You have hand son experience with dbt, including building modular, well tested transformations and managing dependencies.
- You actively experiment with emerging AI tools and patterns (e.g., AI-assisted analysis, summarization, workflow automation), and you can translate new capabilities into reliable, scalable insights workflows.
- You have prior experience designing or supporting hybrid, human-in-the-loop data workflows, where stakeholder-managed inputs (e.g., spreadsheets or internal tools) feed automated, production-grade analytics pipelines.
- You’re highly proficient in SQL and comfortable working with large, complex datasets.
- Youve built and maintained productionized data pipelines with orchestration tools (e.g., Airflow, Dagster, Prefect) and are familiar with version control and code review workflows.
- You have experience with at least one major cloud data warehouse (e.g., BigQuery, Snowflake, Redshift, Databricks, or similar).
- You’re comfortable building dashboards and data visualizations in Looker, Tableau, or a similar BI tool, with a focus on enabling self serve analytics for nontechnical stakeholders.
- You understand instrumentation and event logging well enough to partner with engineers and ensure tracking is sufficient for downstream analytics and measurement.
- You enjoy translating messy, real world business needs into clean, scalable data models and are comfortable making pragmatic tradeoffs.
- You’re an effective communicator who can work closely with marketing, partnerships, and product stakeholders, explaining technical decisions in clear, accessible language.
- A highly collaborative communicator with strong interpersonal skills. You enjoy real-time brainstorming and build trust quickly with creative, marketing, and partner-facing, non-technical stakeholders.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy