Staff Analytics Analyst, Full Stack (Revenue)

Overview

An organization is seeking an experienced and highly independent Analytics Engineer to join their Revenue Analytics team. This team is responsible for the data products, reporting infrastructure, semantic foundations, and analytical systems that support the Revenue organization.

Responsibilities

• Lead the development of scalable, trusted data products for revenue teams, transforming ambiguous business and technical problems into scalable solutions involving data modeling, metrics, dashboards, automation, governance, and AI enablement.
• Drive AI initiatives within the revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing semantic, metadata, context, quality, and evaluation foundations required for AI.
• Design and build durable, well-tested data products that support revenue operations, field and executive reporting, external merchant reporting, and analyst self-service.
• Set the technical direction for the revenue data layer, including dbt models, metrics, semantic structures, documentation, lineage, testing, governance, and access controls.
• Identify opportunities to simplify, automate, and scale revenue analytics through improved data architecture, tooling, governance, and enablement.
• Provide technical leadership and mentorship to analysts and cross-functional partners, elevating standards for data product design, construction, and maintenance.

Requirements

• 7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or related technical analytics roles.
• Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.
• Strong working knowledge of BI tools such as Sigma, Looker, or Tableau; cloud data warehouses like Snowflake; and modern data platforms such as Databricks.
• Strong understanding of foundations required for reliable AI, including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality, with experience applying AI tools within analytics engineering workflows.
• Proven ability to independently lead complex, ambiguous projects by defining scope, sequencing work, managing tradeoffs, aligning stakeholders, and delivering durable technical solutions.
• Experience designing scalable data products for multiple audiences and influencing both technical and non-technical stakeholders regarding architecture and product direction.
• Familiarity with Salesforce and experience supporting commercial, go-to-market, revenue, or sales operations teams.

Compensation & Benefits

• Pay Grade: O
• Equity Grade: 6
• Base pay range (Canada): $173,000 - $230,000 per year
• Total compensation package may include equity rewards, monthly stipends for health, wellness, and technology spending, and benefits.
• Benefits include 100% subsidized medical coverage, dental and vision coverage for employees and dependents.
• Additional benefits include flexible spending wallets for technology, food, lifestyle needs, and family forming expenses.
• Competitive vacation and holiday schedules.
• Employee Stock Purchase Plan (ESPP) allowing purchase of company shares at a discount.

Additional Information

• This is a remote-first position; employees can work almost anywhere within their country of employment.
• Some roles may require occasional work from an assigned office depending on proximity and job responsibilities.
• Visa sponsorship is not available for this position.
• The organization is committed to providing an inclusive interview experience and will provide reasonable accommodations for candidates with disabilities.
• For U.S. positions potentially based in Los Angeles or San Francisco, qualified applicants with arrest and conviction records will be considered in accordance with local fair chance hiring ordinances.