Specialist, Finance Data Analytics (Hybrid)

Responsibilities

• Support audit teams by fulfilling data requests from financial, accounting, and compliance systems across the company.
• Drive the strategic integration of AI tools to innovate and streamline the end-to-end audit process, from planning and risk assessment to execution and reporting.
• Develop analytics solutions and dashboards using datasets to provide real-time risk assessments and control insights through Power BI and other Microsoft tools.
• Contribute to team projects and deliver outputs using agile project management methods.
• Build automations that improve efficiency and save time using tools such as UiPath, Dataiku, and Python/R.
• Document technical solutions in line with SDLC requirements and guidance.
• Collaborate with and present to finance and analytics groups to share insights and leverage existing solutions.
• Explore and test new systems and technologies to expand team capabilities and generate new insights.
• Support the execution of financial, operational, SOX 404, IT, integrated, and process audits in domestic and international settings to help maintain a strong internal control environment.
• Education Minimum Requirement:
• Bachelor's Degree in Finance, Business Analytics, Computer Science, or another field with a strong focus on data analytics preferred.
• Required Experience and Skills:
• Minimum of 1 year of experience in Finance, Internal Audit, or Data Analytics
• Strong data analytics skills, including data transformation, modeling, analysis, and visualization
• Proficiency in Microsoft Excel
• Experience with Power BI or similar business intelligence tools
• Familiarity with SAP COMET, ATLAS, FSA, BPC, Veeva, and other ERP systems
• Familiarity with automation tools such as UiPath and Power Automate
• Familiarity with ETL tools such as Dataiku, Matillion, and Databricks
• Familiarity with coding languages such as SQL, R, Python, or VBA
• Familiarity with agile project management methods and Jira
• Familiarity with AI and agentic AI systems
• Understanding of advanced or predictive analytics
• Understanding of data governance practices and SDLC compliance
• Demonstrated success in a collaborative, team-oriented environment
• Demonstrated ethics and integrity in a professional environment
• Strong interpersonal skills and a customer-focused mindset, with the ability to work effectively with clients and team members
• Strong interest in data, technology, and finance
• Effective written and verbal communication skills
• Travel up to 10%, domestic and international
• Preferred Experience and Skills:
• Understanding of financial systems and financial controls
• Experience with financial auditing, financial controls, and/or compliance
• Programming experience in Python, R, or similar languages
• Required Skills:
• AI Ops, Automation Tools, Coding Languages, Data Analytics, Data Visualization, ETL Tools, Finance, Financial Auditing, Internal Auditing
• Preferred Skills:
• Current Employees apply HERE
• Current Contingent Workers apply HERE
• US and Puerto Rico Residents Only:
• Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
• As an Equal Employm

Additional Information

Job Description Corporate Audit and Assurance Services (MCAAS) plays a key role in maintaining a strong financial control and compliance environment across the organization. MCAAS provides independent, objective assurance to evaluate and strengthen the effectiveness of risk management, controls, and governance processes. Through its audit and assurance work, MCAAS supports transparency, integrity, and accountability in financial operations. The MCAAS Innovation team is a core part of this effort, using data and technology to support audits across the company. The team includes approximately 9 members based in the US and Europe. By combining analytical expertise with finance, compliance, and systems knowledge and using tools such as Power BI, UiPath, and Dataiku, we deliver real-time risk assessments and control insights. These insights strengthen audit procedures, help identify potential risks, and support recommendations for stronger controls. In addition to supporting MCAAS directly, the data analytics team collaborates with other finance and analytics groups across the company and industry. This helps us share knowledge, build on existing solutions, and align with best practices. Through these partnerships, we promote continuous learning and ensure our analytics initiatives support broader organizational goals. In this role, you will contribute to MCAAS's mission by applying strong analytical and leadership skills alongside emerging technologies. You will help advance strategic initiatives, improve risk assessment capabilities, and identify opportunities for process improvement. Your work will support the company's financial goals while upholding high standards of integrity and ethical conduct.

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