Note: The job is a remote job and is open to candidates in USA. Burns & McDonnell is a 100% employee-owned company that focuses on delivering analytics and reporting solutions within the finance domain. The Financial Analytics Analyst will be responsible for preparing financial reports, supporting data model development, and collaborating with various teams to enhance financial insights and decision-making processes.

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

Skills

• 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

Company Overview

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