3 часа назад
Business Analytics Manager (AI)
125 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Analytics Manager (AI): Building actionable revenue insights, analytical models, scalable visualizations, and AI-assisted analytics workflows with an accent on advanced SQL, semantic layer design, and LLM tooling. Focus on validating AI-assisted output, shaping metric definitions and data models, and translating ambiguous revenue questions into executive recommendations.
Location: Hybrid in Denver, Colorado, with three days in the office each week on Tuesday, Wednesday, and Thursday. Candidates must live and be authorized to work full-time in the United States. Relocation support is available for candidates moving to Denver.
Base compensation: $125,000–$145,000 annually, plus equity.
Company
is a performance marketing platform that helps brands deliver digital promotions through a publisher network reaching more than 200 million consumers.
What you will do
- Embed with the Revenue organization to understand decisions and turn ambiguous requests into high-value analytical questions.
- Build and ship analyses, models, and scalable visualizations for the broader Revenue organization.
- Use AI agents, LLM tooling, and agentic workflows to accelerate data exploration and delivery.
- Advise Data and Analytics teams on data models, metric definitions, and semantic layers.
- Validate AI-assisted outputs, identify model errors, and make analytical reasoning inspectable to stakeholders.
- Develop reusable tooling, patterns, and documentation for AI-enabled analytics across Revenue.
Requirements
- 5–7+ years of experience in analytics, business intelligence, analytics engineering, or data science, with measurable impact on business decisions.
- Demonstrated experience delivering meaningful work with LLMs, coding agents, or agentic workflows, including output verification.
- Advanced SQL and experience with complex modeling and semantic layer design in a modern data warehouse such as Databricks, Snowflake, or BigQuery.
- Experience with modern visualization platforms such as Looker, Tableau, or Power BI.
- Strong understanding of revenue models, business impact prioritization, and executive communication.
- High autonomy when working through ambiguity; a quantitative, technical, or business degree is preferred.
Culture & Benefits
- Hybrid work arrangement based in the Denver office.
- Flexible time off and medical, dental, and vision benefits.
- Employee Stock Purchase Program and 401(k) match.
- Denver office perks include paid parking, snacks, and occasional meals.
- Employees are responsible for secure data handling and reporting phishing attempts and security incidents.
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