Senior FP&A Business Intelligence Analyst

EcoShield•Gilbert, SC

22d•Onsite

About The Position

The Senior FP&A Business Intelligence Analyst serves as a critical bridge between Finance, Operations, and IT by designing, developing, and maintaining data, reporting, analytics, and automation solutions that support business decision-making across the organization.

Requirements

5+ years of experience in business intelligence, analytics, reporting, or data management.
Advanced SQL skills, including data transformation, troubleshooting, optimization, and analytical model development.
Experience developing analytical, forecasting, or decision-support models using SQL, Python, or similar technologies.
Strong experience with Microsoft Power BI, including semantic models, DAX, dashboards, and reporting solutions.
Experience with Microsoft Fabric and cloud-based analytics platforms.
Strong understanding of data modeling, governance, validation, and reporting best practices.
Ability to independently investigate problems, validate findings, and develop effective solutions with minimal supervision.
Excellent communication and collaboration skills across business and technical teams.
Experience using AI and automation tools to improve efficiency while exercising sound business judgment and validating results.
Bachelor’s degree or equivalent experience in Business Intelligence, Information Systems, Computer Science, Data Analytics, Statistics, Mathematics, Finance, or a related field.

Nice To Haves

Experience with SAP or other ERP systems preferred.
Experience with Python, Microsoft Copilot, Power Query, and workflow automation tools preferred.
Experience working with relational databases, data modeling, data integration, and enterprise reporting environments preferred.

Responsibilities

Build and maintain enterprise datasets, semantic models, dashboards, and reporting solutions.
Develop Power BI and Microsoft Fabric solutions, including semantic models, reporting, and self-service analytics capabilities.
Design and maintain analytical, forecasting, and decision-support models using SQL, Python, and other modern technologies.
Partner with business and technology teams to translate requirements into actionable data and reporting solutions.
Ensure data quality through validation, reconciliation, and monitoring processes.
Manage data models, reporting frameworks, and key business hierarchies.
Automate reporting, analysis, and recurring business processes using AI and modern productivity tools.
Continuously improve reporting standards, governance, and analytical methodologies.