Principal Financial Analyst
Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not provided by the employer
Posted:
11 July 2026 (30+ days ago)
Application Deadline:
8 October 2026
Vacancies:
1 Vacancy
Job Summary
Position DescriptionPrincipal Financial Analyst for Dayforce US Inc. Minneapolis Principal Business Intelligence & Reporting Analyst is responsible for enabling global FP&A (Financial Planning and Analysis) effectiveness by leading the development automation and optimization of financial reporting tools dashboards and analytics. This role combines financial domain knowledge with strong technical capabilities in Power BI development including DAX (Data Analysis Expressions) Power Query data modeling and process automation. The position plays a critical role in advancing data visibility across dimensions such as product region and function and in supporting the integration of AI-enabled tools to enhance decision-making across the enterprise. Serve as the FP&A teams Power BI lead responsible for developing maintaining and optimizing dashboards and financial visualizations used across global finance teams. Build and evolve dynamic reporting frameworks to improve visibility into financial performance across product lines geographies and functional areas. Collaborate with Business Intelligence (BI) IT and FP&A stakeholders in a matrixed global environment to align data integration pipelines models and definitions with governance and reporting standards including integration with ERP systems such as Netsuite. Lead automation of recurring reports and monthly financial packages to support forecasting variance analysis and executive decision support. Develop product and regional profitability reports by partnering with subject matter experts to integrate expenses margins and cost allocation models. Support the integration and enhancement of OneStream (enterprise performance mgmt.) reporting in collaboration with the system administrator and consolidation team. Support the development and deployment of AI-driven tools including large language model (LLM)-based copilots to assist with self-service insights reporting queries and automation of routine analysis. Leverage Python for automation data transformation and integration of basic AI/ML models within the financial reporting infrastructure. Work closely with the India-based FP&A Shared Services Centre to scale reporting operations streamline reconciliations and ensure delivery of standardized analytics. Advance FP&A self-service capabilities by enabling broader access to clean governed data models and visualizations within Power BI. Contribute to the definition and alignment of company-wide financial Key Performance Indicators (KPIs) by supporting metric standardization and executive reporting consistency. *Position permits telecommuting from anywhere in the :Masters degree in Finance Accounting or Information Management and 2 years of experience with financial planning & analysis (FP&A) financial systems or analytics occupation; or Bachelors degree in Finance Accounting or Information Management and 4 years of experience with financial planning & analysis (FP&A) financial systems or analytics possess 4 years of experience with a Bachelors or 2 years of experience with a Masters degree with each of the following:Power BI development including DAX Power Query and data modelingWorking in Python for automation data transformation and basic AI/ML integrationsenterprise performance management tools such as OneStreamintegrating data from ERP systems such as NetSuiteCollaborating with BI IT and FP&A stakeholders in a matrixed global environmentUnderstanding financial reporting forecasting KPI development and multi-dimensional analysisExposure to AI tools or large language model (LLM) applications within a business analytics context*Position permits telecommuting from anywhere in the U.S.#LI-DNI
Required Experience:
Staff IC
About Company
Dayforce is the global people platform that delivers simplicity at scale, with payroll, HR, benefits, talent, and workforce management all in one place. Learn more.