Financial Data Analyst

Location:

Lawrenceville, GA (office only).

• Translate corporate data and tool standards into practical guidance for local business areas to ensure consistent and accurate data usage.
• Design and maintain standardized processes for analytics, reporting, and data quality management.
• Monitor master data quality and collaborate with business owners to align with corporate standards and local requirements.
• Ensure data consistency, accuracy, and trust across systems so reporting remains dependable and operational issues are minimized.
• Partner with US Controlling and business leaders to define analytical requirements, create ad‑hoc reports, and dashboards to support Key Performance Indicators (KPI).
• Leverage relevant data sources and perform advanced analytical modeling using large datasets to support strategic decision‑making.
• Lead productivity initiatives to support automation of manual data processes, including customizing global Power BI reports for local needs and working with IT to migrate external reports to work spaces within the ERP system.
• Translate complex data into clear insights that directly influence forecasting, planning, cost management, and operational improvement.
• Collaborate with Americas IT and the Global Digital Performance organization to evaluate current landscape, enhance AI capabilities, and support financial data transitions on ERP upgrades.
• Develop AI Agents (Copilot) to streamline and automate local business processes.
• Advance digital capabilities that reduce manual effort, improve data accuracy, and modernize reporting tools across the business.
• Provide oversight, training, and first‑level support for business users using Power BI, Excel (including advanced functions and macros), and other analytical tools.
• Collaborate across Finance, Sales, Operations, and IT functions to ensure alignment on analytics and reporting solutions.

• Bachelor’s or equivalent degree with a focus in Statistics, Computer Science, Finance, or closely related analytical field.
• Minimum of 3 to 5 years of progressively responsible experience in data analytics, financial reporting, or business intelligence.
• Experience supporting manufacturing is strongly preferred.
• Demonstrated advanced analytical capability, proactive forward‑looking mindset, and hands‑on application of process automation analytics and robotic process automation (RPA).
• Advanced skills in Excel (expert‑level use of complex functions, pivot tables, Power Query, VBA & macros).
• Proven experience designing and maintaining data visualization tools such as Tableau or Power BI, including robust data modeling, Power Query, and DAX.
• Practical experience building, deploying, and sustaining AI tools, including Microsoft Copilot Agents (preferred).
• Responsibility for data governance, data quality management, and establishing and enforcing standard KPI definitions.
• Excellent communication and collaboration skills, with a proven track record of translating data into actionable business insights.
• Ability to manage complex datasets and systems while supporting leaders with high‑impact analytics that shape key business decisions.

• Work‑life integration
• Mobile working
• Flexible working hours
• Pension scheme
• Good development opportunities
• Employee discounts
• Attractive remuneration system
• Health initiatives