Sr. Finance Data Analyst (100% Virtual Remote)

Job summary

The Senior Finance Data Analyst designs and maintains standardized data methodologies and reporting suites to support FP&A strategic decisions. They also partner with management to implement automation and AI-driven solutions across the enterprise.

Job details

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE Join Our Community of Food People! The Senior Finance Data Analyst works closely with stakeholders to ensure standardized, efficient data and reporting. The position will play a key role in designing, developing and maintaining the data landscape relevant to FP&A. This position has been segmented as Remote Anywhere meaning the work is completed 100% remote anywhere in the U.S. except Hawaii or United States Territories. Responsibilities: Leverage key system knowledge, business acumen, and organizational knowledge to design, develop, and maintain a standardized data methodology and reporting suite aimed at informing and driving strategic business decisions. Develop, create and improve data management and reporting capabilities consistently, particularly with continuous improvement as a priority to evolve in parallel to the business landscape. Apply a keen strategic bent in data analysis, identifying opportunities and roadblocks and developing solutions that drive our business. Measure effectiveness of systems and results against established KPI’s consistently to ensure optimization by developing and providing innovative solutions for improvement. Partner with Sr Manager, to implement and maintain an innovative, automation first mindset capable of leveraging AI across the enterprise. Other duties assigned by manager. Relationships: Internal: Works with FP&A as well as across functions on an enterprise level with a diverse range of stakeholders up to and including the executive level. External: Works closely with consultants and contractors. Minimum Qualifications: 3 years of experience in data analysis, data engineering, data management, statistics or related field. Experience across the entire data value chain, including data warehouses, data lakes, big data, ELT, data modeling, database administration, security, user interface, reporting & analysis. Experience in CI and improvement of user experience. Experience in improving user experience by interpreting data and automating decision making. Proficiency in Microsoft Excel. Ability to adapt in a fast-paced environment and adjust as new priorities and timelines change. Ability to perform work independently with minimal supervision and direction. Ability to influence at all levels of the organization, including executive management, employees, customers, and vendors. Ability to perform well with ambiguity and complex situations. Strong independent judgment, discretion, critical, and analytical thinking, and problem-solving skills. Excellent communication and time management skills. Education: Bachelor's degree (B.A./B.S.) in Computer Science, Engineering, Statistics, Finance, or a related field, or equivalent work experience. This role will also receive an annual incentive plan bonus. ​Benefits for this role may include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html. Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state or local minimum wage thresholds). The expected base rate for this role is between $75,000 - $120,000 ***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***

What you’ll do

The Senior Finance Data Analyst designs and maintains standardized data methodologies and reporting suites to support FP&A strategic decisions. They also partner with management to implement automation and AI-driven solutions across the enterprise.

Requirements

Candidates must have at least 3 years of experience in data analysis, engineering, or management, along with proficiency in the data value chain. A bachelor's degree in a relevant field such as Computer Science, Finance, or Statistics is required.

Benefits

• Health insurance • Pre-tax spending accounts • Retirement benefits • Paid time off • Short-term disability • Long-term disability • Employee stock purchase plan • Life insurance • Annual incentive plan bonus

Listed skills

• Time management · Preferred
• Problem solving · Preferred
• Data analysis · Preferred
• Microsoft Excel · Preferred
• Communication · Preferred
• Reporting · Preferred
• Critical Thinking · Preferred
• data management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data analysis
• Data engineering
• Data management
• Statistics
• Data modeling
• Database administration
• Reporting
• Automation
• Microsoft Excel
• Strategic planning
• KPI measurement
• Critical thinking
• Problem-solving
• Communication
• Time management
• AI integration
• Data Lakes
• Influencing Skills
• Analytical Thinking
• Time Off Management
• Artificial Intelligence
• Data Analysis
• Big Data
• Business Acumen
• Management
• Decision Making
• Computer Science
• Continuous Improvement Process
• Data Engineering
• Data Management
• Data Modeling
• Data Warehousing
• Database Administration
• Finance
• Innovation
• Problem Solving
• Key Performance Indicators (KPIs)
• Purchasing
• Business Strategies
• Time Management
• Timelines
• User Interface (UI)
• Value Chain

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Food & Beverage
• Finance Data Analyst
• Financial Analyst (General)
• Financial Analysts
• Financial and Investment Analysts