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Intermediate Business Intelligence Analyst
Gordon Food ServiceIntermediate Business Intelligence Analyst providing analytical support and insights for decision-making in food service sector. Collaborating with Data Scientists on predictive analytics projects and dashboard reporting.
Tech Stack
Tools & technologiesBigQueryGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- 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.
- Analyzes current and past trends in key performance indicators.
- Explains causes of unexpected variances in trends.
- Performs Ad-Hoc Reporting and Analysis, compiles and prepares reports and graphs.
- Analyzes 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.
Requirements
What you’ll need- 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 BigQuery 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
Benefits
Comp & perks- Professional development opportunities
- Flexible working arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisSQLdata miningstatistical methodsdata visualizationdata integrationdata cleansingGoogle AI toolsBigQueryPython
Soft Skills
problem-solvingself-managementattention to detailtime managementdrive and initiativeanalytical skillscommunication skillsteamworkability to teachorganizational skills
Certifications
Bachelor's Degree