Staff Data Analyst (Remote US)

Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.

At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that’s thrown at us.

Splice embraces a culture of remote work. You’ll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.

When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

• →Data Modeling: Build and maintain data models which drive valuable insights and support critical day to day workflows.
• →XFN Partnerships: Translate complex questions into actionable metrics company-wide (across Product, Marketing, Audio Development and others)
• →Activation & Growth Analytics: Partner with Product and Marketing to analyze user activation funnels, identify drop-off points, and design/interpret A/B tests.
• →Dashboards & Self-Serve: Create and manage self-serve reporting tools and dashboards via Omni to track growth KPIs and overall product health.
• →Analytics Infrastructure: Optimize and track use cases for different components of our data stack, including Omni, Hex and Segment. Drive adoption and propose alternative solutions where needed
• →Ad Hoc Insights: Deliver data-driven insights to support leadership, product, and marketing stakeholders.

• 10+ years of experience in Data Analytics or a similar roles
• Demonstrated experience with BI platforms (e.g. Omni, Looker, Tableau, PowerBI, Qlik) including semantic layer
• Strong knowledge of statistical concepts including trend analysis, hypothesis testing, and confidence intervals.
• Advanced SQL ability: Must be comfortable with advanced concepts including CTEs, ELT vs ETL and managing query costs across large datasets.
• Basic proficiency in scripting languages such as Python or R
• Previous experience working within a product or marketing organization, with a good grasp of product development and go-to-market dynamics.
• Experience with enterprise data solutions across product analytics, data ingestion and reporting and contributing via git. We use Segment, Amplitude, LaunchDarkly, Omni, GitHub, BigQuery, SQLMesh, and Fivetran – among others

• An understanding of Bayesian Inference
• Experience building and managing a data team roadmap 
• Demonstrated experience in setting company-level KPIs 
• Knowledge of sound engineering, musical foundations or experience working in the music industry 
• Examples of using AI to improve day-to-day analytics team workflows 
• Understanding of marketing analytics toolkits and workflows: deploying tracking pixels, managing/understanding ad spend, reconciling google analytics and internal data 
• Experience working with Data Engineering teams to drive governance