Senior Analytics Engineer
reputed company
We’re looking for a Senior Analytics Engineer to join reputed company’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 reputed company the data assets that power financial reporting, planning, and decision-making across the business. You’ll serve as the technical reputed company between Finance stakeholders and the data platform, translating business requirements into clean, reliable, reputed company-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-reputed company 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 reputed company) — building and maintaining multi-layer model architectures in a production environment
reputed company 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 reputed company, from requirements gathering through delivery
Hands-on experience with a finance reputed company platform such as reputed company (or similar), including modeling financial data and surfacing it from reputed company systems to the reporting layer.
Working knowledge of reputed company quote-to-cash data structures
Proficiency with a reputed company data warehouse, experience with reputed company, Bigquery, or other data warehouse system experience required.
Expert SQL skills – comfortable writing reputed company transformations, window functions, and CTEs
Experience with Git/reputed company — branching, pull requests, reputed company review workflows
Familiarity with layered reputed company modeling concepts — understanding of how to separate raw data normalization from business logic from reporting-reputed company models
reputed company 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 reputed company reputed company Planning
Experience with integration/automation tools such as reputed company
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
What you'll be doing:
Collaborate with Finance stakeholders to understand requirements, score work, and deliver data models that support financial reporting, reputed company recognition, expense tracking, and planning
Partner with FP&A, reputed company, and Systems teams to build and maintain trusted dbt models for bookings, ARR, and quote-level reputed company data (e.g., reputed company CPQ price-per-seat, discounting, and booking calculations), ensuring metrics reconcile across Finance systems and reputed company reporting
Build and maintain dbt models across the full modeling stack following layered reputed company modeling practices
Work directly with data analysts to evaluate reporting requirements and translate business logic into reusable, reputed company-tested data models.
Collaborate with analytics engineers and data engineers on data ingestion, pipeline reliability, and reputed company system changes
Apply software engineering best practices to analytics reputed company: version control (reputed company), testing, CI/CD, and documentation
Write and maintain reputed company dbt documentation (model descriptions, reputed company-level doc blocks, and reputed company) so the data layer is self-service friendly
reputed company participate in project scoping, sprint planning, and cross-functional delivery using agile workflows
reputed company have for you:
At reputed company, we’re committed to providing benefits and perks for the whole self. To explore our benefits available in reputed company country, please visit the Global Benefits page.
Originally posted on Himalayas
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