Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the Finance data domain and enhance data assets that support financial reporting, planning, and decision-making.

• Collaborate with Finance stakeholders to grasp requirements, prioritize tasks, and create data models for financial reporting, revenue recognition, expense tracking, and planning.

• Work alongside FP&A, Accounting, and Systems teams to develop and uphold reliable dbt models for bookings, ARR, and quote-level revenue data.

• Ensure that metrics are consistent across Finance systems and downstream reporting.

• Design and maintain dbt models throughout the entire modeling stack using layered dimensional modeling practices.

• Partner with data analysts to assess reporting needs and convert business logic into reusable, well-tested data models.

• Collaborate with analytics engineers and data engineers on data ingestion, pipeline reliability, and changes to source systems.

• Implement software engineering best practices in analytics code, including version control, testing, CI/CD, and documentation.

• Keep dbt documentation current, including model descriptions, column-level documentation, and lineage.

• Engage in project scoping, sprint planning, and cross-functional delivery using agile workflows.

• Contribute to various business domains and work closely with data analysts, analytics engineers, and data engineers.

• Report to the Manager of Analytics Engineering.

⛳️ Requirements

• Minimum of 5 years of experience in analytics engineering or as a data analyst.

• At least 3 years of hands-on experience with dbt Core or Cloud, including building and maintaining multi-layer model architectures in production.

• Direct experience in modeling financial data and collaborating with Finance stakeholders.

• Proven experience partnering with business-facing teams on comprehensive analytics projects, from gathering requirements to delivery.

• Practical experience with a finance SaaS platform like NetSuite or a similar solution.

• Understanding of Salesforce quote-to-cash data structures.

• Experience with a cloud data warehouse; Snowflake, BigQuery, or another data warehouse system is required.

• Proficient SQL skills, including complex transformations, window functions, and CTEs.

• Familiarity with Git/GitHub, encompassing branching, pull requests, and code review workflows.

• Knowledge of layered dimensional modeling concepts.

• Experience in building data models for BI tools such as Tableau, Looker, or Power BI.

• Familiarity with agile delivery in a cross-functional engineering environment.

• Experience with financial planning tools like Workday Adaptive Planning.

• Experience with integration/automation tools such as Workato.

• Background as a data analyst or in a hybrid analyst/engineer role.

🏝️ Benefits

• Incentive plans in addition to base salary.

• Benefits and perks for overall well-being (specific availability by country via Global Benefits page).

• Reasonable accommodations available during the application or recruitment process.