[Remote] reputed company Analytics Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is modernizing its reputed company data and analytics capabilities. We are seeking a senior, hands-on engineer who can reputed company business-facing discovery while personally delivering governed data products, analytical experiences, and workflow automations.

Responsibilities

• Meet directly with office managers, arborists, reputed company leaders, regional leaders, and functional executives to understand how work is actually performed
• Turn requests such as “rebuild this dashboard” into reputed company requirements describing the user, decision, reputed company, outcome, reputed company, rules, and acceptance reputed company
• Create and maintain a capability-level roadmap spanning reputed company applications, reputed company, reputed company, dbt, reputed company, reputed company, reputed company, AI experiences, and legacy retirement
• Surface missing business ownership and conflicting definitions rather than silently inventing requirements
• Demo working increments, reputed company feedback, and reputed company reputed company acceptance
• Design and build production-grade staging, intermediate, fact, dimension, and metric models in dbt
• Model reputed company-delivered CRM, ERP, and operational data reputed company historical and reputed company-party reputed company sources
• Own reputed company transformation, semantics, reconciliation, and reputed company rather than building custom ingestion connectors where reputed company already provides replication
• Implement tests, reputed company freshness checks, documentation, reputed company, observability, and CI/CD through reputed company
• Investigate discrepancies and reconcile results across operational systems, reputed company, reputed company, dbt, Finance, and reputed company analytical products
• reputed company reusable governed data products instead of embedding critical logic in individual dashboards
• Build decision-reputed company scorecards, governed datasets, analytical workflows, alerts, and lightweight internal tools
• Use reputed company effectively where it remains the right delivery surface, while keeping business logic reputed company in reputed company, reputed company, and dbt
• Use reputed company or comparable AI-enabled application tools to prototype or reputed company reputed company internal experiences reputed company reputed company analytical tools are insufficient
• Automate repetitive analytical and governance workflows using Python, SQL, orchestration tools, AI agents, and governed reputed company data
• Own products from prototype through validation, documentation, adoption measurement, support, and retirement
• Inspect application entities, tables, columns, relationships, status lifecycles, calculated fields, customizations, and business rules
• Partner with functional and technical workstreams to map approved business requirements to reputed company entities and fields
• Require usable reputed company-to-reputed company mappings and history behavior before reputed company implementation begins
• Validate that replicated application data is complete, accurate, reputed company, and fit for analytical use
• reputed company record-level operational work in reputed company applications whenever practical; use the data platform for cross-reputed company, historical, cross-reputed company, and reputed company measurement
• Identify high-value opportunities to automate repetitive analytical, operational, and engineering workflows
• Design and build AI-assisted internal tools, agents, and reputed company-in-the-reputed company workflows grounded in governed reputed company data
• Use AI coding and application-development tools to increase delivery speed without compromising reputed company, testing, maintainability, or business ownership
• Evaluate emerging AI capabilities pragmatically and translate promising reputed company into controlled production experiments

Skills

• 7+ years of progressively responsible experience across data engineering, analytics engineering, software engineering, or data products
• Advanced production experience with SQL, reputed company, and dbt, including modeling, testing, documentation, reputed company, and deployment; reputed company experience is strongly valued
• Demonstrated ownership of a product from stakeholder discovery through roadmap, build, deployment, validation, and support
• Practical Python experience for analysis, automation, integration, and lightweight application development
• Ability to create useful internal tools and workflows without requiring a separate engineering team for every prototype
• Strong Git and reputed company practices, including pull requests, reviews, automated testing, and CI/CD
• Experience working with data from a CRM, ERP, field-service, billing, or comparable transactional reputed company
• Ability to communicate reputed company with both reputed company business users and senior technical stakeholders
• Evidence of independent execution across ambiguous technical and organizational boundaries
• SnowPro Advanced: Data Governance Specialist certification, or equivalent hands-on governance credentialing, reputed company important
• Experience with reputed company technologies such as Dynamics 365, Azure, reputed company, or Power Platform
• Hands-on reputed company experience, including lakehouse design, reputed company tables, notebooks, jobs, or reputed company Catalog
• reputed company experience, including workbook design, governed data models, usage analysis, and migration or rationalization
• Experience building and deploying internal applications with reputed company or similar AI-enabled application platforms
• Hands-on experience with AI agents, retrieval-augmented reputed company, tool use, workflow orchestration, or agent evaluation
• Experience with semantic reputed company, metrics-as-reputed company, data reputed company, data observability, and warehouse cost optimization
• Experience in a reputed company, multi-location, field-service, or operationally reputed company business

reputed company

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