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Senior Analytics Engineer

Pay
USD 103,000–140,000/year — pay source
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. #LI-JL1, #LI-NT1
Read the full posting
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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
  • Proficiency with a cloud data warehouse, experience with Snowflake, Bigquery, or other data warehouse system experience required.
  • Experience building data models for BI tools such as Tableau, Looker, or Power BI
  • Demonstrated experience partnering directly with business-facing teams on end-to-end analytics projects, from requirements gathering through delivery
  • Experience with Git/GitHub — branching, pull requests, code review workflows
  • Familiarity with agile delivery in a cross-functional engineering environment
Qualification wording
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
Proficiency with a cloud data warehouse, experience with Snowflake, Bigquery, or other data warehouse system experience required.
Experience building data models for BI tools such as Tableau, Looker, or Power BI
Demonstrated experience partnering directly with business-facing teams on end-to-end analytics projects, from requirements gathering through delivery
Experience with Git/GitHub — branching, pull requests, code review workflows
Familiarity with agile delivery in a cross-functional engineering environment
Apply at Seismic

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
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1

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • BigQuery
  • dbt
  • Looker
  • Snowflake
  • Tableau
  • Power BI
Where the posting names them
- 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
- 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
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
- 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.
- 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.
- 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.
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

Your next step

Complete your application on careers-seismic.icims.com. The employer’s form will show what is required.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

#LI-JL1, #LI-NT1
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Pay
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. #LI-JL1, #LI-NT1
Location & working pattern

Location not supplied.

- 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
More source context
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.
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