Senior Financial Business Analyst

EnerSys Delaware Inc.•Muhlenberg Township, PA

1d•Onsite

About The Position

The Senior Financial Business Analyst plays a critical role in shaping the organization’s financial data ecosystem. This role will drive the design, governance, and optimization of enterprise data assets with a focus on data warehousing, data governance, and analytics enablement. This role bridges business stakeholders, finance, and technology teams to ensure high-quality, trusted, and accessible data supports decision-making and reporting. This role enables a single source of truth for financial data, improves reporting efficiency, and enhances the organization’s ability to make timely, data-driven decisions while supporting scalable growth. This position will report to the Senior Director, Financial Forecasting & Planning.

Requirements

Bachelor’s degree in Finance, Data Analytics, or related field
7–10+ years’ experience in business analysis, finance transformation, or data-focused financial roles
Experience with data warehousing (ETL/ELT, dimensional modeling)
Experience with data governance frameworks
Ability to work across business and technical teams
Experience with ERP systems (e.g., SAP, Oracle) and enterprise data warehouse environments
Knowledge of data governance tools
Experience with BI tools (Power BI, Tableau, SQL)
Advanced Excel and financial modeling skills

Responsibilities

Partner with business and IT stakeholders to define, design, and optimize enterprise data warehouse solutions that support financial reporting, planning, and decision-making.
Translate business requirements into data models, source-to-target mappings, transformation logic, and reporting structures to ensure accurate and scalable data solutions.
Support the development and maintenance of data pipelines, semantic layers, and analytics capabilities while aligning data architecture with business processes and key performance indicators.
Establish and implement data governance frameworks, policies, standards, and controls to ensure data integrity, compliance, and consistency across the organization.
Lead data quality initiatives by improving data accuracy, lineage transparency, stewardship, ownership, and accountability models.
Develop and maintain enterprise data dictionaries, business glossaries, standardized metrics, and reporting definitions to promote a single source of truth.
Serve as the primary liaison between business and technical teams, facilitating requirements gathering, prioritization of initiatives, and translation of complex data concepts into actionable business insights.
Drive stakeholder engagement, change management, and user adoption efforts while leveraging AI-enabled analytics to enhance reporting and business performance.
Support budgeting, forecasting, and strategic planning processes through integrated data solutions and advanced analytics capabilities.
Identify opportunities to leverage data as a strategic asset by advancing data governance maturity, improving data architecture, supporting roadmap development, and monitoring emerging data management practices.