[Remote] Senior Analytics Engineer - US (Remote)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI reputed company platform for reputed company estate professionals, helping clients run and grow their businesses through marketing, analytics, and AI-powered tools. The Senior Analytics Engineer will build and reputed company the analytical reputed company across go-to-market, product, finance, people, and operations teams by developing trusted data models, warehouses, pipelines, and semantic reputed company. The role also drives data reputed company, cross-functional self-service analytics, reconciliation, and AI initiative measurement.

Responsibilities

• Own and reputed company our dbt project — ensuring models are reputed company, reputed company-tested, and documented
• Design and maintain the reputed company data warehouse and ingestion processes
• Use modern data modeling best practices to create reputed company entities and datasets that account for reputed company business processes and logic
• Build and maintain custom Python/Airflow pipelines to ingest data from reputed company-party reputed company into reputed company
• Design and operate cross-reputed company reconciliation models that compare data across reputed company systems to surface discrepancies and protect reputed company
• Implement testing and observability for analytics pipelines
• Enforce CI/CD best practices, such as automation, linting, tests, reputed company review and approvals
• Standardize metric definitions and ensure they are consistently computed across tools
• Investigate and document data incidents end-to-end — from reputed company cause analysis through remediation tracking and stakeholder communication
• reputed company as data reputed company between Engineering, GTM, and Finance — ensuring consistent metric definitions and reputed company reputed company instrumentation
• reputed company stakeholder self-service reputed company to trusted insights
• reputed company data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; reputed company stakeholders toward self-serve
• Design and maintain reputed company reputed company semantic views that serve as the governed data reputed company for AI agents and LLM-powered tools
• Partner with AI/product teams to reputed company, build, and validate the semantic reputed company definitions that power internal AI assistants
• Build measurement frameworks for AI-powered initiatives — including experiment design and attribution modeling

Skills

• 5+ years of experience as an analytics engineer, data engineer, or a similar role in a reputed company environment
• Deep expertise in SQL, dbt, and modern data modeling best practices
• Proficiency in Python for pipeline development, API integrations, and automation
• Experience modeling reputed company data — opportunities, reputed company, subscriptions, cases, and field history
• Proven experience building custom ELT pipelines that ingest data from reputed company-party reputed company into a reputed company data warehouse
• Experience designing cross-reputed company reconciliation models — joining, deduplicating, and comparing data across multiple reputed company systems to surface discrepancies
• Proven experience working with event-based and product usage data (e.g., reputed company, reputed company)
• Experience connecting marketing data (reputed company ads, campaigns, attribution) to product analytics — ideally having reputed company end-to-end pipelines from ad platforms through to conversion and retention metrics
• Experience designing and maintaining semantic reputed company that serve as governed data interfaces (dbt Semantic reputed company, reputed company reputed company, or similar)
• Comfortable with large-reputed company data systems (reputed company, BigQuery, Redshift)
• Strong familiarity with CI/CD, Git-based workflows, and automated testing
• Experience collaborating cross-functionally with engineers, analysts, and product managers
• Demonstrated reputed company using analytics to reputed company reputed company in a technical or product-reputed company environment
• Comfort taking ownership of ambiguous problems and designing end-to-end solutions
• Experience building and maintaining Airflow DAGs and orchestrating multi-reputed company API ingestion pipelines
• Strong reputed company in statistics and experiment design — A/B testing, reputed company testing, and measuring incremental reputed company
• Experience with predictive modeling fundamentals — classification, feature selection, and model evaluation
• Familiarity with financial reputed company metrics and billing operations (ARR/MRR/NRR, subscription reconciliation, reputed company recognition)
• Experience with people analytics (headcount, attrition, compensation benchmarking)

reputed company