Financial Analyst

Dairy Farmers of America•Kansas City, KS

12h

About The Position

General Purpose: Support planning, forecasting, and performance management for a division, group, plant, and/or platform through scalable analytics, automated reporting, and decision-ready insights. Deliver accurate, timely, and meaningful analysis by partnering with operations and cross-functional stakeholders, and by building and maintaining modern reporting tools and dashboards (Power BI) that improve visibility to financial and operational performance. This role is expected to embrace modern productivity and analytics approaches, including the use of approved AI tools to accelerate insight generation, automate repeatable workflows, and improve the speed and quality of decision support.

Requirements

Undergraduate degree in business, accounting, finance, or related curriculum (or equivalent combination of experience and education)
2 to 5 years of experience in finance, accounting, or related discipline
Solid knowledge of the principles and practices of financial planning and analysis and general accounting principles
Solid knowledge of and skill with Microsoft Office Suite and company computer systems
Skill in analytical thinking and problem solving
Able to provide timely, high quality and comprehensive information
Able to work independently and as part of a team
Able to work collaboratively with all departments, management levels, and external stakeholders
Able to communicate clearly and effectively, both verbally and in writing
Able to multi-task, prioritize work activities, and meet deadlines
Able to adapt to changing operational needs
Able to maintain confidentiality of information
Must be able to read, write and speak English

Responsibilities

Perform financial forecasting, reporting, and operational metrics tracking; identify trends, risks, and opportunities.
Evaluate financial performance by comparing and analyzing actual results versus plans and forecasts; deliver actionable variance narratives.
Support and/or lead aspects of the quarterly/annual budget, forecast, and variance analysis process, including assumptions, scenario modeling, and stakeholder alignment.
Analyze financial data and create models to support decisions (e.g., pricing, mix, productivity, trade spend, customer profitability).
Participate and/or lead monthly operations calls; translate operational drivers into financial outcomes and clear actions.
Design, build, and maintain Power BI dashboards and KPI scorecards that support performance management (daily/weekly/monthly), including drill-downs and user-friendly self-service views.
Build and manage reusable datasets/semantic models, define KPI logic, and maintain metric definitions to ensure consistent reporting and “one version of the truth.
Automate recurring reporting where possible (scheduled refresh, standardized visuals, scalable templates), reducing manual effort and improving cycle time.
Document dashboards, data sources, refresh cadence, and metric definitions; partner with stakeholders to train users and drive adoption.
Use approved generative AI tools to accelerate analysis, summarize large volumes of information, draft narratives, and improve insight throughput—while applying responsible-use standards and data handling expectations.
Identify and prototype AI-enabled use cases (e.g., variance explanation accelerators, anomaly detection, automated commentary, KPI insight generation) and help move work from “idea” to a deployed, working solution in partnership with the broader organization.
Leverage AI capabilities embedded in everyday tools (e.g., Copilot-enabled workflows in analytics) to improve speed to insights and decision-making, and share repeatable “wins” with the team.
Participate on cross-functional teams; collaborate to complete financial and analytics deliverables, including process improvements and productivity initiatives.