Lead Analytics Engineer

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SavATree

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

💼 Consulting

📦 Logistics

🏛️ Government

Consulting • Logistics • Government

SavATree is a licensed and accredited tree, shrub and lawn care company that provides residential, commercial, and municipal landscape stewardship and maintenance. The company offers services including tree pruning, cabling and bracing, removal, stump grinding, fertilization, disease and pest treatments (including organic options), lawn care (aeration, seeding, fertilization), irrigation service, deer deterrent programs, tick and insect control, holiday lighting, emergency storm response, and professional consulting from ISA-certified arborists for risk assessments, appraisals, and urban-forest planning. SavATree emphasizes science-based diagnosis, environmental stewardship, and personalized service across local branches.

📋 Description

• Discover user workflows and identify the decision or action behind requests • Define requirements, business rules, ownership, data dependencies, and acceptance criteria • Create product and technical roadmaps, sequence dependencies, and maintain the delivery backlog • Select system boundaries, architecture, data contracts, and user experiences • Build governed dbt models, analytical experiences, tests, and AI-assisted automations • Validate source data, business rules, user acceptance, and quality • Deploy, support, document, measure adoption, and continuously improve products • Retire redundant legacy workflows and dashboards after replacements are accepted • Meet with office managers, arborists, branch leaders, regional leaders, and executives to understand operational workflows • Build production-grade staging, intermediate, fact, dimension, and metric models in dbt • Model CRM, ERP, operational, historical, and third-party enterprise data • Implement freshness checks, documentation, lineage, observability, and GitHub CI/CD • Investigate discrepancies and reconcile results across operational systems, Snowflake, Databricks, dbt, Finance, and analytical products • Build scorecards, governed datasets, analytical workflows, alerts, and lightweight internal tools • Prototype and deliver focused internal experiences using Replit or comparable AI-enabled tools • Automate analytical, governance, operational, and engineering workflows using Python, SQL, orchestration tools, and AI agents • Inspect application entities, tables, columns, relationships, lifecycles, calculated fields, customizations, and business rules • Map approved business requirements to source entities and fields • Validate replicated application data for completeness, accuracy, timeliness, and analytical fitness • Identify and build AI-assisted internal tools, agents, and human-in-the-loop workflows • Evaluate emerging AI capabilities and translate promising ideas into controlled production experiments • Deliver roadmap milestones including governed models, reconciliation reporting, internal applications, AI workflows, and a certified core metric layer

🎯 Requirements

• 7+ years of progressively responsible experience across data engineering, analytics engineering, software engineering, or data products • Advanced production experience with SQL, Snowflake, and dbt, including modeling, testing, documentation, lineage, and deployment • Databricks experience strongly valued • Demonstrated ownership of products from stakeholder discovery through roadmap, build, deployment, validation, and support • Practical Python experience for analysis, automation, integration, and lightweight application development • Ability to create internal tools and workflows without requiring a separate engineering team for every prototype • Strong Git and GitHub practices, including pull requests, reviews, automated testing, and CI/CD • Experience with CRM, ERP, field-service, billing, or comparable transactional-system data • Ability to communicate with frontline business users and senior technical stakeholders • Evidence of independent execution across ambiguous technical and organizational boundaries • Experience with Microsoft technologies such as Dynamics 365, Azure, Fabric, or Power Platform preferred • Hands-on Databricks experience, including lakehouse design, Delta tables, notebooks, jobs, or Unity Catalog preferred • Sigma Computing experience preferred • Experience with Replit or similar AI-enabled application platforms preferred • Experience with AI agents, retrieval-augmented generation, tool use, workflow orchestration, or agent evaluation preferred • Experience with semantic layers, metrics-as-code, data contracts, data observability, and warehouse cost optimization preferred • Experience in distributed, multi-location, field-service, or operationally complex businesses preferred

🏖️ Benefits

• Annual bonus • Full-time, permanent, exempt employment • Remote work arrangement