Назад
2 месяца назад

Staff Data Analyst

160 272 - 200 340$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Data Analyst (SQL/AI): Building data models, analytics infrastructure, dashboards, and actionable metrics for product, marketing, and business operations with an accent on activation analytics, A/B testing, and modernizing the data stack. Focus on advanced SQL, semantic-layer BI, large-scale query optimization, and translating complex cross-functional questions into reliable insights.

Location: Remote - U.S.

Salary: $160,272–$200,340 annually, with compensation based on experience.

Company

Splice is a creative music platform providing sounds, samples, AI-powered tools, and rent-to-own DAWs and plugins for digital music creators.

What you will do

  • Build and maintain data models that support insights and critical day-to-day workflows.
  • Translate complex questions into actionable metrics across Product, Marketing, Audio Development, and other functions.
  • Analyze user activation funnels, identify drop-off points, and design and interpret A/B tests with Product and Marketing.
  • Create and manage self-serve dashboards and reporting tools in Omni for growth KPIs and product health.
  • Optimize and monitor use cases across Omni, Hex, Segment, and other data-stack components; drive adoption and recommend alternative solutions.
  • Deliver ad hoc, data-driven insights for executive leadership, product, marketing, and engineering stakeholders.

Requirements

  • 10+ years of experience in data analytics or a similar role.
  • Experience with BI platforms such as Omni, Looker, Tableau, Power BI, or Qlik, including semantic layers.
  • Strong knowledge of statistical concepts including trend analysis, hypothesis testing, and confidence intervals.
  • Advanced SQL skills, including CTEs, ELT versus ETL, and query-cost management across large datasets.
  • Basic proficiency in Python or R.
  • Experience in a product or marketing organization, with an understanding of product development and go-to-market dynamics.
  • Experience with enterprise data solutions across product analytics, data ingestion, and reporting, plus contributions through Git.
  • Experience with Segment, Amplitude, LaunchDarkly, Omni, GitHub, BigQuery, SQLMesh, and Fivetran, among other tools.

Nice to have

  • Understanding of Bayesian inference.
  • Experience building and managing a data-team roadmap.
  • Experience setting company-level KPIs.
  • Knowledge of sound engineering, musical foundations, or experience in the music industry.
  • Examples of using AI to improve analytics-team workflows.
  • Understanding of marketing analytics workflows, including tracking pixels, ad spend, and reconciliation of Google Analytics with internal data.
  • Experience working with Data Engineering teams to drive governance.

Culture & Benefits

  • Remote-first culture with colleagues across the U.S. and U.K., plus regular town halls, departmental all-hands, and get-togethers.
  • Unlimited paid time off.
  • Medical, dental, and vision coverage for employees and dependents.
  • 401(k) plan with immediate vesting and company match.
  • Paid parental leave: 12 weeks for non-birthing parents and 18–20 weeks for birthing parents.
  • Annual learning budget, leadership programs, inclusive events, team meet-ups, and Employee Resource Groups.

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