Senior Analytics Engineer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $103k - $140k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Seismic

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

📣 Marketing

💼 Consulting

🏥 Healthcare

Marketing • Consulting • Healthcare

Seismic is a digital platform that enables businesses to connect with their audiences seamlessly through innovative solutions such as QR codes, URL shortening, and analytics tracking. It simplifies the process of creating engaging content and building brand connections by offering tools for mobile-friendly landing pages, customizable QR codes, and comprehensive link management. Used by various industries, Seismic facilitates better engagement and communication with audiences, whether in retail, healthcare, or financial services.

📋 Description

• 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

• 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

• 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

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