Senior Analytics Engineer

Carbon Data Solutions; United States; A distancia; USD 103.000 - 140.000; Jornada completa

Descripción de la vacante

Seismic is seeking a Senior Analytics Engineer to own the finance data domain within Corporate Data & Analytics. You will model, maintain, and scale data assets for financial reporting, planning, and decision-making across the business.

You’ll partner with Finance stakeholders and work with data analysts, analytics engineers, and data engineers to build a cohesive, high-quality data layer. Strong SQL, dbt, and cloud warehouse experience are required.

Formación

• 5+ years in analytics engineering or data analytics, with hands-on dbt experience
• Direct experience modeling financial data and partnering with Finance stakeholders
• Proven ability to translate business requirements into clean data models
• Experience surfacing finance data from source systems to reporting layers
• Proficiency with cloud data warehouses (Snowflake, BigQuery, or similar)
• Strong SQL skills with complex transformations, window functions, and CTEs
• Experience with Git/GitHub workflows and code reviews
• Familiarity with layered dimensional modeling concepts to separate raw data, business logic, and reporting models

Responsabilidades

• Collaborate with Finance to understand requirements and deliver data models for financial reporting and planning
• Partner with FP&A, Accounting, and Systems teams on dbt models for bookings, ARR, and revenue data
• Build and maintain dbt models across the modeling stack following best practices
• Work with data analysts to translate business logic into reusable data models
• Collaborate with data engineers on ingestion, reliability, and source system changes
• Apply software engineering practices to analytics code (version control, testing, CI/CD)
• Maintain clear dbt documentation to enable self-service data
• Contribute to agile project scoping, sprint planning, and delivery

Conocimientos

Analytics engineering

SQL

Finance data modeling

Cloud data warehouse

GitHub

Dimensional modeling

Stakeholder management

Cross-functional collaboration

Herramientas

dbt

Snowflake/BigQuery

Descripción del empleo

Senior Analytics Engineer at Seismic, via carbon.talent

Overview We’re looking for a Senior Analytics Engineer to join Seismic ’s Corporate Data & Analytics team and own our finance data domain.

Stack

About this role

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

Why This Role

You’ll have real ownership, not just tickets. The Finance domain is foundational to Seismic ’s business, and you’ll be the person who shapes how that data is modeled, documented, and trusted across the company. You’ll work on a collaborative team that cares about doing things right and building systems that last.

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 Seismic , 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.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here.

Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law.

We are committed to fair and equitable compensation practices. Seismic 's annual base salary range for this position will vary based on applicant's location, experience, job level, skills, and abilities as well as internal equity and alignment market data. The range listed below is the minimum to the maximum of our target hiring range. Seismic 's salary range for this position is: USD $103,000.00/Yr. - USD $140,000.00/Yr.This position is also eligible to participate in Seismic 's incentive plans in addition to base salary. The actual incentive amount will very and will be subject to the terms and conditions set in the applicable incentive plan.