Financial Data Analyst Jobs in Pennsylvania

INTRODUCTION

EnerSys® is an industrial technology leader serving the global community with mission critical stored energy solutions that meet the growing demand for energy efficiency, reliability and sustainability. We are driven by a passion to provide people everywhere with accessible power to help them work and live better. Our people are our strength, an endless resource for innovation, insight and enthusiasm.

This position will report to our EnerSys Energy Systems business, which serves the telecom, cable broadband, industrial, renewable, and data center markets. Our portfolio combines our stored energy expertise with power systems, enclosures, and renewable energy products to deliver world-class solutions for diverse applications such as 5G, broadband, Internet of Things (IoT), data center, and solar power. Our cutting-edge technology includes Lithium batteries, Fault Managed Power Systems, and Extended Run Time battery backup systems that improve the reliability and resiliency of broadband networks.

EnerSys has over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. Some of our brands include PowerSafe, DataSafe, and Genesis batteries; Cordex power; and Outback Power renewable energy products. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.

Job Purpose

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.

Essential Duties and 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.

QUALIFICATIONS

Minimum

• 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

General Job Requirements

This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.