Senor Finance Data Analyst

Segra•Denver, CO

1d•Hybrid

About The Position

The Senior Finance Data Analyst is a key member of the Finance Business Intelligence team, reporting to the Senior Director, Finance Business Intelligence. This role is responsible for transforming complex financial and operational data into accurate, actionable insights that support strategic decision-making across the organization. This position requires a strong blend of financial acumen, technical expertise, and analytical rigor. The ideal candidate is proficient in Power BI report development, SQL-based data extraction and modeling, and has a proven track record in data auditing, validation, and discrepancy resolution. The Senior Finance Data Analyst will serve as a trusted partner in ensuring data accuracy and consistency across financial reporting and analytics. They will lead the development of scalable reporting solutions, proactively identify data quality issues, and collaborate closely with finance, IT, and business stakeholders to improve data governance and insight. A successful hire will execute the vision of a data and digital-first Finance organization. They will provide valuable insights and constructive feedback regarding our financial data strategy, governance, and processes. They will develop and deliver insightful, compelling dashboards and enable process automations to increase operational effectiveness and efficiency. This position must effectively and regularly partner with systems, technology, finance, and operational process colleagues in the orchestration of cross-functional solutions.

Requirements

Bachelor’s degree in management information systems, data science/analytics, finance or similar fields or combination of education and relevant experience
A minimum of 5 years of related professional work experience
At least 4 years’ experience working with data and information management tools to solve complex business problems
Advanced experience developing and maintaining Power BI reports and dashboards, including DAX and data modeling best practices
Strong proficiency in SQL for data extraction, transformation, and validation across large, complex datasets
Demonstrated experience with data auditing, reconciliation, and discrepancy investigation, with a high attention to detail and data integrity
Strong understanding of financial concepts and how financial data is used in business decision-making
Strong communication skills with the ability to explain complex data concepts to non-technical audiences
Extensive Experience working with Microsoft Excel and PowerPoint
Ability to manage multiple priorities in a fast-paced environment while maintaining high standards of accuracy
Intellectual curiosity and passion for innovation
Ability to set strategy, develop roadmaps and establish priorities
Critical thinking and creative problem solving
Lead and coach successful teams while embracing diverse people, thinking and styles
Change agent with desire to challenge status quo in a collaborative manner
Effective communicator at all levels
Deliver quick wins and broader program milestones
Synthesize ambiguity into tangible actions
Influence across functional and divisional teams and drive change

Nice To Haves

Master’s degree in advanced analytics or similar fields
Experience with data governance, data quality frameworks, or enterprise data environments
Experience with Power Automate

Responsibilities

Transform complex financial and operational data into accurate, actionable insights that support strategic decision-making across the organization
Serve as a trusted partner in ensuring data accuracy and consistency across financial reporting and analytics
Lead the development of scalable reporting solutions
Proactively identify data quality issues
Collaborate closely with finance, IT, and business stakeholders to improve data governance and insight
Execute the vision of a data and digital-first Finance organization
Provide valuable insights and constructive feedback regarding our financial data strategy, governance, and processes
Develop and deliver insightful, compelling dashboards
Enable process automations to increase operational effectiveness and efficiency
Effectively and regularly partner with systems, technology, finance, and operational process colleagues in the orchestration of cross-functional solutions