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.

In a world where data is critical for our success, US Foods is expanding its Enterprise Data team to create modern enterprise-wide data capabilities for decision-making, new insights, operational excellence, and limiting risk across all functions and teams. The Sr Data Analyst is an individual contributor role on the IT Enterprise Data team, and you are responsible for developing reports and analyses leveraging the data in our cloud data warehouse. This role reports to the Manager, BI & Reporting.

Ideal candidate would have successful track record of creating reporting and analyses in modern data technologies like SQL, Tableau, Power BI, CRM Analytics, Sigma, and related cloud offerings.

Flexible Work Policy: The work for the Sr Data Analyst position is completely 100% remote anywhere in the United States except Hawaii or United States Territories. This position may have the potential to travel up to 20% dependent on business needs.

Responsibilities

In this role, we are looking for an independent self-starter who will play a key role designing our data landscape in partnership with data architects and data engineers. You will work across the organization to ensure that the data in our cloud data warehouse serves our enterprise strategies.

The Sr Data Analyst role responsibilities below are framed around key performance areas.

Data Preparation

Extract and synthesize data from multiple sources; perform exploratory data analysis, cleanse, massage, and aggregate data

• Collect, cleanse, and structure large data sets to find usable information
• Work with a team of analysts, engineers, and other associates to process information

Data Analysis & Business Understanding

Strong understanding of business processes and community. Ability to operationalize insights to drive favorable business results; experience in model and rule performance based on business KPIs

• Work with executives and other business leaders to identify opportunities for improvement
• Create reports for internal teams and/or external clients
• Collaborate with team members to collect and analyze data
• Establish KPIs to measure the effectiveness of business decisions
• Perform exploratory and inferential analyses to deliver insights to the business

Data Visualization

Strong developer of visualization and presentation paradigms to communicate discoveries

• Use graphs, dashboards, and other methods to visualize data
• Create presentations and reports based on recommendations and findings
• Create interactive dashboards and establish reusable pattern libraries

Analytics Evangelism

Willingness to collaborate with stakeholders

• Share best practices for analytics with others
• Approach all interactions with a positive attitude

RELATIONSHIPS

• Internal: This position will interact across the organization. Would need to be comfortable and capable of presenting to executives in the field and in functions, as well as working with SMEs across the organization. Data touches all aspects of our business, and it will span the entire range.

Qualifications

• 3-5+ years of experience in data analysis, data engineering, data management, statistics and/or related field
• Ideal candidate would have successful track record of creating reporting and analyses in modern data technologies like SQL, Tableau, Power BI, CRM Analytics, Sigma, and related cloud offerings.
• Functional subject matter expertise in data management and in building and implementing effective data products in large, and matrixed organizations
• Experience across the entire data value chain - including data warehouses, data lakes, big data, ELT, data modeling, database administration, security, user interface, reporting & analysis, etc.
• Strong experience collecting, cleansing, profiling, and modeling data
• Experience with data pipelines using cloud-based tools
• Strong experience creating reports and dashboards
• Experience creating data specifications and data standards
• Background of improving user experience by interpreting data and automating decision making
• Ability to independently perform work with minimal supervision and direction, and execute on requirements to meet the needs of business stakeholders
• Proven track record of thought leadership, building consensus, and leveraging relationships to achieve strategic objectives and to create an effective data-driven culture
• Strong ability to influence at all levels of the organization, including executive management, auditors, employees, customers, and vendors
• Ability to deal well with ambiguity and complex situations
• Strong independent judgment, discretion, critical, and analytical thinking, and problem-solving skills required
• Strong executive polish and presence required

Education/Training:

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