Data Analyst/Architect/Engineer

The Senior Data Analyst/Architect/Engineer supports Supply Chain decision-making through advanced analytics, reporting, dashboard development, data querying, and cloud-based database design, build, and deployment. This role translates complex supply chain, inventory, sourcing, equipment, and operational data into accurate, actionable insights that improve planning, performance, compliance, and continuous improvement.

Key Roles & Responsibilities

• Partner with stakeholders to define reporting, analytics, and Business/Decision Intelligence requirements.
• Write, optimize, validate, and maintain complex SQL queries, tables, and views from Oracle, MS SQL Server, and Exasol databases.
• Develop and maintain data extraction pipelines from Enterprise Data Warehouses into cloud-based platform.
• Perform data validation, root-cause analysis, and reconciliation across source systems.
• Help design, document, standardize, and improve data structures, definitions, and governance practices.
• Utilize cloud-based platform to:
• Cleanse and blend datasets from disparate data sources.
• Build reports and dashboards for end user self-service reporting and analytics.
• Create automation workflows.
• Develop data storytelling and automation insights.
• Create predictive and machine learning models.
• Build AI Agents and LLM Integrations.
• Develop training materials, lead workshops, and provide ongoing education to users of cloud-based platform’s reporting and analytics.
• Maintain strong working relationships with internal business partners, technology teams, vendors, and stakeholders.
• Perform other duties as assigned., * All applicable SOX controls, data governance requirements, and reporting controls are established, documented, and consistently followed.
• Data issues are identified, investigated, communicated, and resolved promptly through effective root-cause analysis.
• Technical content is effective, efficient, validated, maintainable, and appropriately documented.
• Functional content for end users is published accurately and timely and provides reliable, usable, and actionable insights for business stakeholders.
• The analyst actively contributes to a collaborative, accountable, and high-performing team environment.

• Bachelor’s degree in Supply Chain, Logistics, Business Analytics, Information Systems, Data Analytics/Engineering, or a related field is preferred.
• Minimum of 5 years of professional experience in business intelligence, data analytics/engineering/science, or a related analytical role.
• Minimum of 5 years of experience writing and troubleshooting SQL queries, including joins, aggregations, subqueries, common table expressions, views, and performance optimization.
• Minimum of 3 years of hands-on dashboard development, including calculated fields, parameters, filters, data sources, publishing, scheduling, and performance optimization.
• Minimum of 2 years of hands-on data engineering/architecture building, extraction and loading, transformation, modeling, data quality validation, or data automation.
• Utility industry, energy industry, construction, inventory, procurement, or supply chain experience is preferred.
• Strong understanding of data governance, data quality, documentation, access controls, and SOX-compliant reporting practices is preferred.

Core Competencies

• Advanced analytical, problem-solving, and root-cause analysis skills.
• Strong written, verbal, and presentation communication skills, with the ability to explain technical findings to nontechnical audiences.
• Ability to translate business requirements into data models, SQL queries, dashboards, reports, and actionable recommendations.
• Strong attention to detail and commitment to data accuracy, completeness, consistency, and timeliness.
• Ability to manage multiple priorities, deadlines, stakeholders, and projects in a fast-paced environment.
• Demonstrated ability to build consensus, influence outcomes, and collaborate across functional teams.
• Ability to work independently while contributing effectively to a collaborative team environment.
• Ability to facilitate the design, documentation, and reengineering of business processes.