10 дней назад
Data & Analytics Manager – Product Analytics (AI)
153 000 - 230 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data & Analytics Manager – Product Analytics (AI): Building forecasting models, business models, segmentation, scenario analyses, and executive-ready dashboards that guide product performance, pipeline, bookings, customer adoption, and usage decisions with an accent on advanced SQL, enterprise datasets, and generative AI. Focus on framing ambiguous business problems, extracting signal from unstructured customer and product feedback, validating LLM output, and driving analytical initiatives through implementation.
Location: Primarily in-office at the Santa Clara, California office, in compliance with company policies.
Annual base salary: $153,000–$230,000 USD. The role may also be eligible for incentive pay and/or equity.
Company
is a publicly traded data platform company serving hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
What you will do
- Partner with Product Business Unit leaders and own insight generation for Quarterly Business Reviews and executive business reviews.
- Take ambiguous business problems from framing and hypothesis development through analysis, solution design, dashboards, implementation, and measurable outcomes.
- Build forecasting models, business models, segmentation, cohort analysis, root-cause investigations, and scenario analyses for product performance, pipeline, bookings, customer adoption, installed base, and product usage.
- Use generative AI and LLM tools to accelerate analysis and extract insights from support cases, sales notes, and customer and product feedback.
- Triage analytics requests, prioritize delivery, clarify accountability, and standardize or automate recurring work.
Requirements
- Advanced SQL skills and the ability to work independently with large, complex enterprise datasets.
- Experience with platforms such as Snowflake, Databricks, or BigQuery, including CRM data and product telemetry.
- Hands-on experience with forecasting, business modeling, scenario analysis, segmentation, cohort analysis, and root-cause investigation.
- Day-to-day experience using generative AI and LLMs in analytics, with the judgment to verify unreliable outputs before they inform decisions.
- Experience owning complex analytical initiatives from initial discussion through implementation and measurable results.
- Ability to work credibly with senior business leaders and translate priorities into actionable analytical work.
Culture & Benefits
- Innovation-focused environment that values critical thinking and challenging work.
- Growth support and opportunities to contribute to meaningful initiatives.
- Collaborative culture focused on shared success and low ego.
- Flexible time off, wellness resources, and company-sponsored team events.
- Inclusive workplace with Employee Resource Groups and an emphasis on inclusive leadership.
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