Financial Data Analyst

WIKA Group; Lawrenceville (GA); On-site; USD 90,000 - 125,000; Full time

Benefits offered by this job

Work‑life integration

Mobile working

Flexible working hours

Pension scheme

Good development opportunities

Employee discounts

Attractive remuneration system

Health initiatives

Job summary

WIKA Group in Lawrenceville, GA is seeking a Data Analytics professional to translate corporate data standards into practical guidance for local business areas, and to design standardized analytics, reporting, and data quality processes.

The role collaborates with US Controlling and leaders to define analytical requirements, create ad-hoc reports and dashboards, and advance AI capabilities, including Copilot Agents, to modernize reporting and drive cost management.

Qualifications

• Bachelor’s degree in statistics, computer science, finance, or a closely related analytical field.
• 3–5 years of experience in data analytics, financial reporting, or business intelligence.
• Experience supporting manufacturing is strongly preferred.
• Advanced analytical capability with proactive mindset and RPA experience.
• Advanced Excel skills including complex functions, pivot tables, Power Query, VBA & macros.
• Proven ability to design and maintain Tableau or Power BI dashboards with data modeling.
• Experience building, deploying, and sustaining AI tools, including Copilot Agents.
• Responsible for data governance, quality management, and KPI definitions.
• Excellent communication and collaboration skills.
• Ability to manage complex datasets and provide high-impact analytics.

Responsibilities

• Translate corporate data standards into practical guidance for local business areas.
• Design and maintain standardized analytics, reporting, and data quality processes.
• Monitor master data quality and align with corporate standards and local needs.
• Ensure data accuracy and trust across systems to keep reporting reliable.
• Create ad-hoc reports and dashboards to support KPIs with US Controlling and leaders.
• Perform advanced analytics on large datasets to support strategic decisions.
• Lead automation of manual data processes and customize Power BI reports for local needs.
• Collaborate with IT to migrate external reports to ERP workspaces.
• Translate complex data into actionable insights affecting forecasting and cost management.
• Collaborate with Americas IT and Global Digital Performance to enhance AI capabilities and ERP upgrades.
• Develop AI Agents (Copilot) to streamline local business processes.
• Advance digital capabilities to reduce manual effort and modernize reporting tools.
• Provide training and first-level support for Power BI, Excel, and other tools.
• Collaborate across Finance, Sales, Operations, and IT to align analytics solutions.

Skills

Advanced Excel

Power BI

Tableau

Data governance

RPA (Robotic Process Automation)

SQL / data modeling

AI tools (Copilot)

Data analysis

Education

Bachelor's degree in Statistics, CS, Finance, or related field

Tools

Tableau

Power BI

Copilot Agents

Excel

Power Query

DAX

VBA

Job description

Location: Lawrenceville, GA (office only).

Responsibilities

• 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 workspaces 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.

Qualifications

• 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.

Benefits

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