Sr. Finance Data Analyst (100% Virtual Remote)

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office or Remote
75K-120K Annually
Senior level
Food
The Role
The Senior Finance Data Analyst designs, develops, and maintains standardized data methodologies, reporting suites, and data management capabilities supporting FP&A. Responsibilities include analyzing data for strategic decisions, measuring KPI effectiveness, improving systems and user experience, automating decision-making, and partnering with stakeholders, consultants, and contractors. The role requires cross-functional collaboration, independent judgment, strong analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments.
Summary Generated by Built In

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE

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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***

Skills Required

  • 3 years of experience in data analysis, data engineering, data management, statistics, or a related field
  • Experience across the data value chain, including data warehouses, data lakes, big data, ELT, data modeling, database administration, security, user interface, reporting, and analysis
  • Experience in continuous improvement and improving user experience
  • Experience interpreting data and automating decision-making to improve user experience
  • Proficiency in Microsoft Excel
  • Ability to adapt in a fast-paced environment and adjust to changing priorities and timelines
  • Ability to work independently with minimal supervision and direction
  • Ability to influence stakeholders at all organizational levels, including executive management, employees, customers, and vendors
  • Ability to perform well amid ambiguity and complex situations
  • Strong independent judgment, discretion, critical thinking, analytical thinking, and problem-solving skills
  • Excellent communication and time management skills
  • Bachelor's degree in Computer Science, Engineering, Statistics, Finance, or a related field, or equivalent work experience

US Foods Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Foods and has not been reviewed or approved by US Foods.

  • Healthcare Strength Medical, dental, and vision coverage with multiple plan options and day-one eligibility in many roles is highlighted as a relative strong point. Union agreements and company materials reinforce that health coverage is a core part of the total rewards package.
  • Strong & Reliable Incentives Incentives such as overtime, case/stop pay, and uncapped commissions often boost earnings in delivery, warehouse, and sales roles. Earnings can rise notably when hours are heavy or targets are met.
  • Retirement Support A 401(k) plan is standard, and recent union contracts add pension coverage in some locations. Together these programs support longer-term financial security.

US Foods Insights

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The Company
HQ: Rosemont, IL
22,022 Employees

What We Do

US Foods is one of America’s great food companies and a leading foodservice distributor, partnering with approximately 300,000 restaurants and foodservice operators to help their businesses succeed. With 28,000 associates and more than 70 locations, US Foods provides its customers with a broad and innovative food offering and a comprehensive suite of e-commerce, technology and business solutions. US Foods is headquartered in Rosemont, IL, and generates more than $28 billion in annual revenue. Visit usfoods.com to learn more. ------------ Rules of Engagement Statement: We are proud to support community engagement on the US Foods LinkedIn page, and we're excited to see your comments, photos and videos. Please note that the views expressed by the community do not necessarily reflect those of US Foods. Before posting, please take a moment to read our rules for community content. We reserve the right to remove content that violates these rules. 1. Don't break the law. Content that appears to break the law or that advocates for breaking the law also is not permitted. 2. Be polite and courteous to everyone, even those you disagree with. This also means you may not post anything that is threatening, harassing, abusive, bullying, discriminatory, profane, sexually explicit, obscene, violent, gruesome, or similarly objectionable. 3. Stay on topic for this community and dialogue. Off-topic content may include but is not limited to irrelevant or out of context material, spam, promotional content, and links to third-party sites. 4. Follow LinkedIn's Terms and Conditions. 5. All posts must be by a real person and from a real profile. Content from fake or anonymous profiles is not permitted. 6. Our employees must also follow all of our applicable policies and guidelines, including but not limited to our Code of Conduct and Electronic Social Networking Policy

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