Senior Analytics Engineer

Seismic

. Own the Finance data domain and scale data assets supporting financial reporting, planning, and decision-making .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $103,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining dbt models for financial data, ensuring accuracy and reliability in reporting and analytics. Collaborates effectively with Finance stakeholders and cross-functional teams to deliver comprehensive data solutions that support financial decision-making.

Highest-signal resume keywords

5+ Years Analytics Engineering Experience3+ Years Dbt Core/Cloud ExperienceExpert SQL SkillsExperience With Cloud Data WarehousesHands-On Experience With Finance SaaS Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dbt CoreSQLData ModelingFinancial Data AnalysisComplex TransformationsLayered Dimensional ModelingBI ToolsData IngestionVersion ControlAgile Methodologies

Soft Skills

CollaborationRequirements GatheringCross-Functional CommunicationProblem-SolvingStakeholder Engagement

Tools & Technologies

SnowflakeBigQueryNetSuiteSalesforceTableauLookerPower BIWorkday Adaptive PlanningWorkatoGit/GitHub

Industry Keywords

Financial ReportingRevenue RecognitionExpense TrackingAnalytics EngineeringData AnalyticsFinance StakeholdersCross-Functional DeliveryAgile WorkflowsData WarehouseIntegration Automation

Tech Stack

Tools & technologies

BigQueryCloudSnowflakeSQLTableau

About the role

Key responsibilities & impact

Own the Finance data domain and scale data assets supporting financial reporting, planning, and decision-making
Partner with Finance stakeholders to understand requirements, score work, and deliver data models for 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
Ensure metrics reconcile across Finance systems and downstream reporting
Build and maintain dbt models across the full modeling stack using layered dimensional modeling practices
Work 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, testing, CI/CD, and documentation
Maintain dbt documentation, including model descriptions, column-level documentation, and lineage
Participate in project scoping, sprint planning, and cross-functional delivery using agile workflows
Contribute across other business domains and collaborate with data analysts, analytics engineers, and data engineers
Report to the Manager, Analytics Engineering

Requirements

What you’ll need

5+ years of analytics engineering or data analyst experience
At least 3 years hands-on with dbt Core or Cloud, building and maintaining multi-layer model architectures in production
Direct experience modeling financial data and working with Finance stakeholders
Experience partnering 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
Working knowledge of Salesforce quote-to-cash data structures
Experience with a cloud data warehouse; Snowflake, BigQuery, or another data warehouse system required
Expert SQL skills, including complex transformations, window functions, and CTEs
Experience with Git/GitHub, including branching, pull requests, and code review workflows
Familiarity with layered dimensional modeling concepts
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

Benefits

Comp & perks

Incentive plans in addition to base salary
Benefits and perks for the whole self (specific country availability via Global Benefits page)
Reasonable accommodation available during the application or recruiting process