Financial Analytics Analyst - Corporate Accounting & Finance (Kansas City)

Burns & McDonnell is a 100% employee-owned company dedicated to fostering a collaborative atmosphere in finance. The Financial Analytics Analyst will be responsible for delivering analytics and reporting solutions focused on financial data, supporting decision-making, and enhancing financial data models.

Responsibilities:

• Prepare and deliver reports, analyses, and presentations of financial data to support decision-making across multiple levels of leadership
• Support the development, maintenance, and enhancement of financial data models and reporting solutions
• Perform data validation, tie-out, and quality assurance activities in support of user acceptance testing and ongoing enhancements to financial data models and reports
• Translate data requirements to practical usage for team members
• Promote the use of modern analytics tools and reporting solutions by assisting others with data preparation, analysis, and visualization efforts
• Collaborate with team members and stakeholders (e.g., IT, project teams, Finance) to support project and reporting needs
• Maintain awareness of and ensure adherence to financial data structures, reporting tools, and data governance practices within the finance domain
• Proactively develop technical and analytical skills and share knowledge with team members and other finance resources where applicable
• Support the creation of training materials and participate in knowledge-sharing efforts related to financial reporting tools and processes
• All other duties as assigned

Requirements:

• Bachelor's degree in accounting or finance
• Minimum of four (4) years related accounting experience; extra credit may be given for public accounting experience
• One year of additional credit given for CPA or MBA
• Strong working knowledge of analytics tools, including Power BI, Excel, or similar platforms
• Excellent verbal and written communication skills
• Familiarity with data analysis techniques, including identifying trends, patterns, and segmentation of data
• Robust analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
• Ability to leverage data to produce quantifiable business value
• DAX and SQL experience is a plus