Director of Data Analytics
New
United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience in data analytics, data science, or a quantitative discipline in high-growth tech environments. 5+ years of leadership experience managing and scaling high-performing, multi-disciplinary teams.
- Required Skills
- SnowflakedbtLooker
Requirements
- 10+ years of experience in data analytics, data science, or a quantitative discipline in high-growth tech environments.
- 5+ years of leadership experience managing and scaling high-performing, multi-disciplinary teams.
- Strong expertise in product analytics, including A/B testing, experimentation design, and user behavior analysis.
- Deep understanding of product and business metrics, with a proven ability to influence product roadmaps through data.
- Strong business acumen, ideally with experience in marketplace dynamics or two-sided platforms.
- Technical fluency in modern data stacks, including Snowflake, dbt, and BI tools such as Looker or Hex.
- Exceptional executive communication skills, with the ability to translate complex insights into clear strategic narratives.
- Experience working in ambiguous, fast-moving startup or scale-up environments.
- Strong ability to build structure, processes, and high-performing teams in evolving organizations.
Responsibilities
- Lead, mentor, and develop a multi-layered analytics organization, managing Analytics Leads and their cross-functional teams.
- Define and drive the product analytics strategy in close partnership with Product leadership and executive stakeholders.
- Integrate data into the product lifecycle, including success metrics definition, A/B testing frameworks, and feature impact analysis.
- Shape and execute the long-term data analytics roadmap, ensuring scalable team structure, tooling, and data models.
- Pioneer the use of AI and advanced analytics capabilities, including agentic and self-service analytics solutions.
- Collaborate with executives and department leaders to prioritize high-impact initiatives and allocate data resources effectively.
- Establish and enforce best practices in data governance, documentation, code quality, and dashboard design.
- Foster a strong company-wide data culture, improving data literacy and enabling self-service decision-making.
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