Manager, Data Analytics

Sysco - Houston, TX

Full-time - Mid Level

Hybrid - Houston, TX

Merchant Wholesalers, Nondurable Goods

About the position

The Manager, Data Analytics at Sysco is a key member of the Corporate Finance team, responsible for designing, building, and delivering self-service Business Intelligence (BI) solutions using Tableau. This role involves collaborating with finance leaders and stakeholders to support business analytics and reporting needs, while managing priorities in a fast-paced environment. The position requires strong analytical skills to understand key metrics impacting the P&L, including margin, cost, and revenue.

Responsibilities

• Develop, design and implement self-service capabilities for business data access and reporting.
• Write SQL queries to transform data into useful formats.
• Analyze data to identify trends, patterns, and anomalies, providing actionable insights to stakeholders.
• Gather requirements, identify data gaps, and aid in the creation of new or modified report prototypes.
• Build automated reporting solutions and manage requirements, risks, issues, changes, and updates.
• Build and manage relationships with business partners within the merchandising organization and across multiple business functions.
• Gain a deep understanding of product verticals at Sysco and develop subject matter expertise relevant to areas of responsibility.
• Play a pivotal role in budgeting, forecasting, and variance analysis in collaboration with team members and merchandising leadership.
• Collaborate with various Technology Teams to develop analytics tools and solutions that support the Finance and Merchandising Teams.

Requirements

• At least five years of Business Intelligence Management or related BI service delivery experience.
• Experience with the advanced use and management of Tableau.
• College degree in MIS, business, finance, or related field.
• Experience in delivering self-service BI solutions that promote data discovery.
• High proficiency and professional experience coding in SQL and R/Python to transform and clean raw data from multiple enterprise data sources.
• Thorough understanding of Business Intelligence related Reporting Tools, Visualization, Analytics, Dashboards, KPIs, Scorecards and Predictive Analysis through tools.
• High Level of experience with Excel (X/VLOOKUPs, Pivots etc.).
• Demonstrated business acumen and the ability to apply technological solutions to solve business problems.
• Ability to analyze information, apply critical thought processes and draw conclusions in ambiguous scenarios.
• Ability to develop work plans and support cross functional teams to achieve a common goal.
• Strong verbal and written communication skills.
• Self-starter that is detail oriented and highly motivated.

Nice-to-haves

• Desire to mentor junior team members.