Staff Analytics Engineer

SnykBoston, MA

About The Position

The Staff Analytics Engineer is the chief architect of our business intelligence and the primary driver of our data-driven culture. This is a strategic, high-impact role designed for a leader who thrives at the intersection of sophisticated business intelligence and organizational change. Reporting to the Sr. Director of Enterprise Data & BI, this individual is responsible for defining business intelligence standards and ensuring they translate directly into business outcomes. This role owns the logic, leads the education, and builds the tools that empower our leadership to move with speed, confidence, and efficiency.

Requirements

  • 5–7 years of experience in analytics engineering or data engineering, specifically within modern data stacks.
  • A "partner-first" leader who thrives on collaboration.
  • A forward-thinking enthusiast for AI-enablement who understands how to leverage LLMs and modern AI tools to accelerate data accessibility and self-service.
  • A professional dedicated to data integrity and the creation of a reliable, governed environment that the entire organization can trust.

Responsibilities

  • Develop and maintain a governed semantic layer to ensure a single source of truth for all business logic.
  • Serve as the lead advocate for data within the organization, including leading corporate knowledge sessions, hosting regular office hours, and managing recurring communications to elevate the company's data fluency.
  • Configure and manage modern, AI-first BI tools to facilitate business-led ad-hoc analysis and eliminate technical bottlenecks for stakeholders.
  • Oversee the development and delivery of executive-level dashboards that track and visualize top-tier business KPIs.
  • Act as a primary consultant to business leaders, translating complex objectives into technical requirements and scalable data solutions.
  • Identify and implement AI-driven efficiencies within the analytics lifecycle, focusing on automated discovery and predictive enablement.

Benefits

  • Flexible working hours
  • Work-from-home allowances
  • In-office perks
  • Time off for learning and self-development
  • Generous vacation and wellness time off
  • Country-specific holidays
  • 100% paid parental leave for all caregivers
  • Health benefits
  • Employee assistance plans
  • Annual wellness allowance
  • Country-specific life insurance
  • Disability benefits
  • Retirement/pension programs
  • Mobile phone allowances
  • Education allowances
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