Data Analyst

ACO, Inc.•Casa Grande, AZ

8d•$80,000 - $90,000•Onsite

About The Position

The Data Analyst evaluates, cleans, integrates, and analyzes data from multiple business systems. This position develops and maintains trusted analytical datasets, dashboards, and reports; documents data lineage and transformation logic; monitors reporting accuracy and performance; and recommends improvements that make organizational data more consistent, accessible, and useful.

Requirements

Bachelor’s degree in computer science, Data Analytics, Statistics, Information Systems, or a related field.
Approximately 2-4 years of experience in analytics engineering, business intelligence, or data analysis.
Prior analytics experience in a manufacturing company.
Demonstrated experience with Power BI data modeling, DAX, Power Query, dashboard development, and performance optimization.
Experience working with Manufacturing and Supply Chain KPIs.
Strong proficiency in SQL for querying, transformation, and data modeling.
Solid understanding of data quality concepts, data cleaning techniques, and data modeling fundamentals.
Experience mapping and integrating data across multiple source systems.
Strong documentation habits and attention to detail.

Nice To Haves

Experience working with ERP, MRP, MES, or other manufacturing systems and their underlying data preferred.
Experience with additional business intelligence tools is preferred.
Exposure to data engineering practices, including pipeline development, ETL/ELT, version control, and orchestration, is preferred.
Familiarity with cloud data warehouses is preferred.

Responsibilities

Evaluate existing data sources for accuracy, completeness, and consistency.
Identify, document, and remediate data quality issues.
Establish and maintain data validation checks and quality standards.
Map disparate data sources using common keys and shared dimensions.
Build and maintain transformation logic that joins and reconciles data across systems.
Document data lineage, mappings, relationships, and transformation logic for reference and reproducibility.
Design, build, and maintain dashboards, reports, and analytical datasets in Power BI and other business intelligence tools as needed.
Support continuous improvement initiatives by identifying data-driven opportunities to improve operational efficiency, quality, cost, and delivery performance.
Define and maintain consistent KPI definitions, calculation logic, and reporting standards across departments.
Update and enhance analytics as business logic, source systems, or requirements evolve.
Monitor reports and data pipelines for accuracy and performance and troubleshoot issues as they arise.
Recommend improvements to data models, metrics, and reporting based on observed gaps and opportunities.
Proactively identify ways to make data more consistent, accessible, and useful across the organization.