Intermediate Business Intelligence Analyst

Responsibilities

• Influence business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers.
• Bridge the gap between those doing self-service analytics as business users and those doing advanced analytics as data scientists.
• Organize data and create dashboards/reports using visualization tools and internal databases.
• Utilize statistical methods for data analysis and insight development.
• Interface with the business to understand data needs and translate that to the target data set and project.
• Collect, aggregate, and analyze data from multiple internal and external data sources.
• Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems.
• Work in conjunction with other GTS teams, improving data transparency and enabling businesses to make more trustworthy business decisions.
• Responsible for bringing together information from different source systems into consolidated data structures.
• Builds strong working relationships with numerous cross functional teams.
• Analyze current and past trends in key performance indicators.
• Explain causes of unexpected variances in trends.
• Perform Ad-Hoc Reporting and Analysis, compile and prepare reports and graphs.
• Analyze various data elements to assist with improving Key Performance Indicators.
• Integrate, consolidate and cleanse data for use in analytics applications.
• Explore the suite of Google AI tools for use as part of creative problem solving, data analysis, insight development and delivery.

• Bachelor's Degree preferred
• 5 years experience in Data Analytics preferred
• Strong understanding of how to construct SQL queries for complex data mining (GCP and Big Query knowledge a plus)
• Ability to teach and support others on various complex data mining approaches
• Experience with visualization tools and ability to learn new technologies
• Must have problem-solving capabilities
• Self Management - attention to detail, able to prioritize, multi-task and effectively manage time, and able to work independently or within a team environment.
• Must demonstrate drive and initiative and be highly motivated toward company, team, and individual results and maintain a high focus on priorities.
• Ability to develop solutions to a variety of complex problems and reference established precedents and policies.
• Highest standards of accuracy and precision; highly organized, attentive to detail
• Strong analytical skills required, including a thorough understanding of how to interpret customer data needs.
• Must have excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts.
• Strong desire to learn new technologies and tools
• Wholesale Food Distribution knowledge is a plus
• Understanding of existing GFS applications (Legacy Database/Tables, relationships, data structure) preferred
• Python knowledge a plus

• Bachelor's Degree