Lead Financial Data Analyst

Lutron Electronics Co., Inc; Pennsylvania; On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Career growth opportunities

Benefits package

Job summary

Lutron Electronics Co., Inc in Coopersburg, PA is seeking a Lead Financial Data Analyst to drive enterprise analytics and decision-making. You will develop scalable reporting solutions, KPI frameworks, and data models, enhancing data accessibility and governance across the organization.

Qualified candidates must have a bachelor's degree in a relevant field, 4+ years of experience in data analytics, and proficiency in Power BI, Excel, and SQL. Join a company known for its innovative lighting solutions and strong commitment to career development.

Qualifications

• Bachelor's degree in Data Analytics, Business Analytics, Finance, Information Systems, or related field required.
• Minimum 4 years of work experience in data analytics, FP&A reporting, or financial analytics required.
• Proficient in Power BI, Microsoft Excel, and SQL for data analysis.

Responsibilities

• Design, develop, and maintain executive-level FP&A reports, dashboards, and KPI scorecards.
• Lead the collection and analysis of financial and operational data.
• Collaborate with technical teams to improve data integration and reporting architecture.

Skills

Power BI

Microsoft Excel

SQL

Data Analytics

Financial Analytics

Education

Bachelor's degree in Data Analytics, Finance, etc.

Tools

ERP systems (SAP, Oracle, JD Edwards)

Data modeling tools

Job description

Overview

We are seeking a Lead Financial Data Analyst to support the Financial Planning & Analysis (FP&A) organization at our Global Headquarters in Coopersburg, PA. The Lead Financial Data Analyst will be responsible for driving enterprise analytics, reporting strategy, and data-driven decision making across the organization and beyond.

This role will lead the development of scalable reporting solutions, KPI frameworks, data models, and analytical capabilities that enable business leaders to understand performance drivers, identify opportunities, and make informed strategic decisions. The Lead Financial Data Analyst will serve as a key partner to Finance, Sales, Operations, Accounting, IT, and Data teams to improve data accessibility, governance, and analytical maturity across the organization.

Responsibilities

• Design, develop, and maintain executive-level FP&A reports, dashboards, and KPI scorecards using Power BI, Excel, and ERP systems.
• Lead the collection, analysis, and interpretation of financial and operational data to identify trends, risks, opportunities, and performance drivers.
• Partner with Finance, Sales, Accounting, Operations, IT, and internal data teams to establish data governance standards, business definitions, and reporting consistency across enterprise metrics.
• Lead the development and automation of data models, reporting processes, and business intelligence tools to improve efficiency and accuracy.
• Collaborate with technical teams to improve data integration, reporting architecture, and data structures that support enterprise reporting and analytics initiatives.
• Ensure the accuracy, consistency, and reliability of reporting outputs by identifying data quality issues and implementing process improvements.
• Identify opportunities to streamline reporting processes, enhance data accessibility, and improve the overall effectiveness of business intelligence and analytics capabilities.

Qualifications

• Bachelor's degree in Data Analytics, Business Analytics, Finance, Information Systems, Computer Science, Statistics, Economics, or a related field required.
• Minimum cumulative 3.00 GPA required.
• Minimum 4 years of work experience in data analytics, business intelligence, FP&A reporting, financial analytics, or a related analytical role required.
• Proficiency in Power BI and Microsoft Excel, including dashboard development, data modeling, and visualization platforms required.
• Working knowledge of ERP systems such as SAP, Oracle, JD Edwards, or similar enterprise applications required.
• Experience designing and maintaining dimensional data models, semantic layers, or enterprise reporting datasets required.
• Proficiency in SQL for data extraction, transformation, and analysis required.
• You are authorized to work in the U.S. and will not require Lutron to sponsor you for any work visa, such as an H-1B, either immediately or at any time in the future. Lutron does not offer work visa sponsorship for this position.

Preferred Qualifications

• Experience supporting Finance, FP&A, Sales, Operations, or Accounting organizations.
• Experience supporting executive-level reporting and decision-making processes.
• Knowledge of enterprise data platforms and cloud-based analytics environments, including Denodo, AWS, Microsoft Fabric, or similar technologies.
• Proficiency with Python, R or other analytical automation tools preferred.
• Knowledge of data warehousing, ETL processes, and data governance frameworks.
• Experience implementing reporting automation and self-service business intelligence solutions.

Lutron Electronics’ position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.

Lutron Electronics is an Equal Opportunity – Affimative Action – Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics.