[Remote] Senior Analytics Engineer - US (Remote)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the AI reputed company platform for reputed company estate. They are seeking a Senior Analytics Engineer to build and reputed company the analytical reputed company that powers decision-making across various teams, transforming raw data into trustworthy datasets.

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