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Seismic

AI-driven platform for sales enablement

Senior Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • At least 5 years of analytics engineering or data analyst experience, including at least 3 years of hands-on dbt Core or Cloud experience building and maintaining multi-layer model architectures in production.
  • Direct experience modeling financial data and working with Finance as a business stakeholder.
  • 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 a similar platform, 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, such as Snowflake, BigQuery, or another data warehouse system.
  • Expert SQL skills, including writing complex transformations, window functions, and common table expressions.
  • Experience with Git or GitHub, including branching, pull requests, and code review workflows.
  • Familiarity with layered dimensional modeling concepts, including separating raw data normalization, business logic, and reporting-ready models.

Responsibilities

  • Collaborate with Finance stakeholders to understand requirements, score work, and deliver data models supporting 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, including 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 using 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, including version control with GitHub, testing, CI/CD, and documentation.
  • Write and maintain clear dbt documentation, including model descriptions, column-level documentation blocks, and lineage, to make the data layer self-service friendly.
  • Participate in project scoping, sprint planning, and cross-functional delivery using agile workflows.

Desired Qualifications

  • Experience building data models for business intelligence 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 or automation tools such as Workato.
  • A background as a data analyst or in a hybrid analyst/engineer role, with an understanding of the data consumer perspective.

About the Company

Seismic

AI-driven platform for sales enablement

1) What does this company do? It provides a platform for sales enablement that equips customer-facing teams with AI-powered content, tools, insights, and skills to improve customer experiences and drive growth. 2) How does this product work? The platform uses artificial intelligence to analyze customer interactions and content, delivering the right message at the right time. It supports sales teams with resources, workflows, and analytics to boost productivity and engagement, delivered via a subscription software model. 3) How is it different from competitors? It focuses on AI-driven insights and tools specifically for customer-facing teams, aiming to optimize messaging and timing to improve engagement, backed by ongoing research and development in AI enablement. 4) What is the goal? To help businesses optimize sales processes, increase sales productivity, and enhance the customer experience to drive business growth.

Company size
1,001-5,000
Company stage
Series G
Total funding
$446.5M
Headquarters
San Diego, CA
Founded
2010

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