Sr. Finance Data Analyst (100% Virtual Remote)

US Foods•Indianapolis, IN

1d•$75,000 - $120,000•Remote

About The Position

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.

Requirements

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.
Bachelor's degree (B.A./B.S.) in Computer Science, Engineering, Statistics, Finance, or a related field, or equivalent work experience.

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.