3 дня назад
Senior Analytics Engineer (AI)
129 600 - 178 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (AI): Building trusted commercial data models, semantic layers, and AI-powered automations for revenue analytics with an accent on dbt, Snowflake, data governance, and GTM modeling. Focus on defining ARR, bookings, and pipeline metrics, developing account scoring and whitespace models, and setting engineering standards for production analytics.
Location: Remote within the United States
Salary: $129,600–$178,200 per year, plus bonus
Company
provides an AI-powered GRC Intelligence Platform for enterprise audit, risk, ESG, and information security management.
What you will do
- Own the Commercial Strategy & Analytics roadmap and commercial modeling layer.
- Build tested and documented dbt models for ARR, bookings, pipeline, upsell, whitespace, ICP fit, and account scoring.
- Develop semantic layers that support self-service analytics for analysts and business users.
- Build AI-powered tools and automations to improve analytics team productivity.
- Establish standards for data architecture, QA, governance, version control, CI/CD, monitoring, and documentation.
- Partner with Sales, Marketing, Finance, enterprise data, and analytics teams to define problems and deliver data solutions.
Requirements
- 8+ years of experience in data or analytics, including 3+ years in analytics engineering.
- Hands-on experience building GTM analytical models such as account scoring, ICP, propensity, or whitespace analysis.
- Advanced data modeling experience and ownership of production models in Snowflake or a similar enterprise warehouse.
- Expert SQL and solid Python skills for discovery, workflows, and automation.
- Experience with Fivetran, dbt, Snowflake, semantic layers, ETL/ELT pipelines, Git, code review, CI/CD, and automated testing.
- Excellent communication skills and the ability to translate business questions into reliable data models.
Culture & Benefits
- Work remotely within the United States.
- Collaborative culture focused on customer value, innovation, resilience, shared success, and continuous learning.
- Compensation and perks may vary based on eligibility and location.
- Background checks are required.
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