Overview
We’re looking for a Senior Analytics Engineer to join Seismic’s Corporate Data & Analytics team and own our finance data domain. In this role, you’ll partner with our Finance team to model, maintain, and scale the data assets that power financial reporting, planning, and decision-making across the business. You’ll serve as the technical bridge between Finance stakeholders and the data platform, translating business requirements into clean, reliable, well-documented data models that analysts and leaders can trust.
While Finance ownership is the core of this role, you’ll also contribute across other business domains and work closely with data analysts, analytics engineers, and data engineers to build a cohesive, high-quality data layer. The Senior Analytics Engineer will report to the Manager, Analytics Engineering.
Who you are:
Required
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
Nice to Have
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
What you'll be doing:
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
What we have for you:
At , we’re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page.
Originally posted on