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# Analytics Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** Scottsdale, AZ, United States (Remote available)
- **Salary:** $114,400.0 - $151,840.0
- **Contract:** Temporary to permanent
- **Skills:** Adaptable Database Systems, Airflow, Business Analytics Applications, Data Analysis, ARM Architecture, Data Dictionary, Data Integrity, Data Mart, Data Warehousing, SAP ERP, Operational Data Store, Standard Sql, SAP (Applications), SAP Financial Management, SQL Databases, Technical Data Management Systems, GitHub Copilot, Large Language Models, Claude Code, Snowflake, AI Coding Agents, Data Layers, Data Analytics, Data Management, GPT
- **Published:** October 31, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/az/scottsdale/6b61aa02-2c2f-4f67-84a0-80c58643ee47

## About the Role

This is a stakeholder-facing role requiring direct collaboration with Finance, Accounting, Procurement, Operations and Maintenance, Asset Management, Trading, and Credit Risk teams. The ideal candidate combines strong Snowflake and dbt Core experience with excellent requirements-gathering, communication, and cross-functional collaboration skills., * Strong hands-on Snowflake experience

 * Strong dbt Core experience
 * Strong SQL and data-modeling fundamentals
 * Experience building data marts, semantic views, and semantic models
 * Experience translating business requirements into technical data solutions
 * Understanding of data workflows from raw source tables through end-user reporting
 * Experience with data-quality testing, governance, and documentation
 * Strong stakeholder engagement, requirements-gathering, and communication skills
 * Ability to work onsite in Scottsdale Tuesday through Thursday, * SAP ERP financial or operational data experience
 * Hex or similar analytics platform experience
 * Snowflake semantic models, Cortex Analyst, dbt Semantic Layer, or MetricFlow experience
 * Dagster or similar orchestration experience
 * dbt Analytics Engineer certification
 * Experience supporting Finance, Accounting, Procurement, Operations, Asset Management, Trading, or Credit Risk teams
 * Renewable energy, utilities, financial services, or other asset-intensive industry experience
 * Familiarity with LLMs and AI-assisted analytics
 * Experience with Claude Code, ChatGPT Codex, GitHub Copilot, or similar tools, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

ChatGPT
Equities
Invoicing
Dashboard
Operations
Governance
Purchasing
Accounting
Scalability
Procurement
Credit Risk
Claude Code
Data Quality
Communication
Data Modeling
GitHub Copilot
Data Dictionary
Asset Management
SAP Applications
Inventory Staging
Business Valuation
Financial Services
Workflow Management
Development Testing
Time Off Management
Business Requirements
Business Intelligence
Referential Integrity
Full Stack Development
Stakeholder Engagement
Operational Data Store
Business Transformation
Requirements Elicitation
Self Service Technologies
SQL (Programming Language)
Snowflake (Data Warehouse)
Cross-Functional Collaboration
$114,400 - $151,840 / yr
Posted yesterday, Seeking an experienced Analytics Engineer to build data models, semantic layers, and data marts that make SAP financial and operational data accessible through Snowflake., * Lead requirements-gathering sessions and data model walkthroughs with business stakeholders.

 * Translate business workflows, reporting needs, and success metrics into scalable data models.
 * Build and maintain staging, intermediate, and mart-layer dbt models in Snowflake.
 * Design semantic models and views for BI tools, self-service analytics, and LLM-enabled querying.
 * Partner with SAP and integration teams to understand source data, relationships, and business rules.
 * Build data marts supporting invoices, purchase orders, procurement, accounting, treasury, revenue, budget variance, and asset performance.
 * Support Hex dashboards and workbooks with clean, documented datasets.
 * Implement incremental loads, dbt tests, referential-integrity checks, null checks, and accepted-value constraints.
 * Maintain data dictionaries, lineage, metric definitions, naming standards, and model documentation.
 * Use AI coding assistants to support SQL generation, model development, testing, and documentation while reviewing all generated output.