[Remote] Senior Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. Seismic is seeking a Senior Analytics Engineer to own the Finance data domain within its Corporate Data & Analytics team. The role partners with Finance and data teams to build, maintain, and document trusted data models that support financial reporting, planning, and business decision-making.

Responsibilities

• Collaborate with Finance stakeholders to understand requirements, score work, and deliver data models that support financial reporting, revenue recognition, expense tracking, and planning
• Partner with FP&A, Accounting, and Systems teams to build and maintain trusted dbt models for bookings, ARR, and quote-level revenue data (e.g., Salesforce CPQ price-per-seat, discounting, and booking calculations), ensuring metrics reconcile across Finance systems and downstream reporting
• Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices
• Work directly with data analysts to evaluate reporting requirements and translate business logic into reusable, well-tested data models
• Collaborate with analytics engineers and data engineers on data ingestion, pipeline reliability, and source system changes
• Apply software engineering best practices to analytics code: version control (GitHub), testing, CI/CD, and documentation
• Write and maintain clear dbt documentation (model descriptions, column-level doc blocks, and lineage) so the data layer is self-service friendly
• Actively participate in project scoping, sprint planning, and cross-functional delivery using agile workflows

Skills

• 5+ years of analytics engineering or data analyst experience, with at least 3 years hands-on with dbt (Core or Cloud) — building and maintaining multi-layer model architectures in a production environment
• Direct experience modeling financial data and working with Finance as a business stakeholder
• Demonstrated experience partnering directly with business-facing teams on end-to-end analytics projects, from requirements gathering through delivery
• Hands-on experience with a finance SaaS platform such as NetSuite (or similar), including modeling financial data and surfacing it from source systems to the reporting layer
• Working knowledge of Salesforce quote-to-cash data structures
• Proficiency with a cloud data warehouse, experience with Snowflake, Bigquery, or other data warehouse system experience required
• Expert SQL skills – comfortable writing complex transformations, window functions, and CTEs
• Experience with Git/GitHub — branching, pull requests, code review workflows
• Familiarity with layered dimensional modeling concepts — understanding of how to separate raw data normalization from business logic from reporting-ready models
• Experience 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 such as Workday Adaptive Planning
• Experience with integration/automation tools such as Workato
• Background as a data analyst or in a hybrid analyst/engineer role, we value candidates who understand what it means to be the consumer of the data they build

Benefits

• Remote work

Company Overview

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