Sr. Analytics Engineer

We're looking for a customer focused, detail-oriented Senior Analytics Engineer to join our team and help business leaders across the organization use high-quality data in their everyday decision-making. You'll do this by using your technical expertise and business acumen to translate data needs into well-specified projects, working with the data warehouse and our business intelligence tooling. The ideal candidate will be a strategic partner, not just a ticket-taker, and help us continually improve how we think about and use data at Splice.

Why Splice?

Music starts at Splice. Splice is cultivating the essential ecosystem for music creation with innovative audio products that inspire and enable artists. With sounds, skills and connected instruments - Splice is meeting the needs of a new generation of musicians and creators, alongside a diverse and trusted library of over 2 million pre-cleared samples. Splice is a global community of producers, innovators and musicians, offering creative solutions for creative challenges.

Our culture is our community; we hold ourselves and each other accountable as we work to continuously improve, navigate uncharted territory and change the industry for the better. As artist advocates we seek out diversity in who we hire, represent and how we collaborate, to ensure a more inclusive and open minded reality with access and freedom for all.

What You’ll Do:

Work directly with stakeholders across the organization to understand business priorities and build models to support critical decision making
Create clean data models from new data sources while balancing cost, performance, and maintainability
Manage ETL provider: add new connectors, manage cost, work with customer service to troubleshoot quality issues
Continually improve design of data warehouse that services both business intelligence and data science needs
Optimize existing models to improve both cost & time performance, considering access patterns of data exposed through BI tooling
Identify tables that would benefit from being incrementally built and assess when it's worth the maintenance tradeoff
Monitor data quality and write tests and documentation while developing new models
Perform ad hoc analysis when necessary while working with business intelligence lead to improve self-service capability

What we’re looking for:

Deep experience writing analytical SQL that is performant and maintainable
Experience diving deep with business leaders and being a strategic partner in using data for decision making
Strong understanding of subscription business and financial data
Demonstrated experience working with hundreds of tables and billions of records in a cloud data warehouse, ideally BigQuery or Snowflake
Experience building reports and dashboards, both using business intelligence tooling and code when necessary
Experience developing and evolving data models to support a changing business over a multi-year timescale
General programming experience, ideally in Python or Scala, and software development best practices like version control and testing

Nice to haves:

Looker and LookML experience

The salary range for this role if filled within New York is $175,000 - $200,000. The range for the position in other geographies may vary based on market differences. The actual compensation will be determined based on experience and other factors permitted by law.

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