Business Intelligence Engineer

Take a Huge step in your career and join Worldwide Flight Services. WFS employs over 22,200 of the finest professionals in ground handling across a global network of more than 170 locations and 22 countries on five continents. A career with us opens up a world of opportunities to develop your existing skills, to learn new skills, and to experience working with different customers and cultures with the sole aim of always delivering a world-class service. WFS provides a full-service capability that includes Aviation cargo, Airline passenger, and Aviation ramp services. Our team of people is highly trained, highly skilled, and confident airport service professionals who are supported by local training and development. We are passionate, capable, and always willing to explore new opportunities presented by customers all over the world. About WFS Join our Worldwide Flight Services family and contribute to the timely delivery of cargo shipment, luggage, business to customer delivery, and on-time flights while operating safely and securely. We perform at the highest level for our customers every day, and strive to be an exceptional leader in our industry with our teams of cargo, passenger, ramp handling, and technical service experts in 164 airport locations, 18 countries, and on 5 continents. Are you ready to take off on your next career with us?Job Summary WFS is seeking a Senior Analyst, Ground Operations Analytics Engineering to serve as the primary technical owner of Ground Handling analytics and reporting across North America. This individual contributor role designs, builds, and maintains scalable analytics solutions supporting Ground Operations performance, KPI tracking, and operational decision-making, combining business intelligence, data engineering fundamentals, and hands-on analytics engineering. The Senior Analyst will:

• Own and enhance the Ground Power BI reporting ecosystem
• Independently design and build small-to-medium data pipelines using Python and Microsoft Fabric
• Perform end-to-end root cause analysis across systems, databases, APIs, Fabric pipelines, and reporting layers
• Partner with Operations stakeholders to translate business requirements into scalable technical solutions
• Act as a technical bridge between Ground Operations and the Data & Analytics team

This role requires strong independent problem-solving ability, technical depth, and the ability to communicate complex data issues clearly to non-technical stakeholders. After stabilizing and optimizing the reporting landscape, this individual will contribute to automation initiatives and explore innovative uses of AI to improve analytics workflows and operational insights.Key Responsibilities Analytics Ownership & Reporting

• Serve as the primary owner of all Ground Handling Power BI reports in North America
• Design, develop, deploy, and maintain Power BI solutions within Microsoft Fabric
• Build optimized data models using best practices in DAX and semantic modeling
• Implement performance tuning and reliability improvements for reports and datasets
• Manage report refresh failures, bug fixes, and production support independently

Analytics Engineering & Data Pipelines

• Design and build small-to-medium data pipelines using Python and Microsoft Fabric (Data Pipelines, Notebooks)
• Develop production-ready Python scripts with logging, monitoring, and error handling
• Integrate and validate REST API endpoints (authentication, pagination, payload validation, troubleshooting)
• Collaborate with Data Engineering on larger pipelines while independently owning smaller solutions
• Support CI/CD best practices for Power BI and Fabric (experience preferred; ability to learn required)

Business Partnership & Communication

• Work directly with Ground Operations leaders to gather requirements and propose multiple solution options with clear trade-offs
• Translate technical findings into concise, business-ready explanations
• Document technical designs, root cause findings, and data logic clearly
• Serve as a subject matter expert (SME) or progressing SME of Ground source systems and KPIs
• Iterate with end users to continuously improve reporting usability and value

Continuous Improvement & Innovation

• Research and evaluate new reporting and analytics tools where appropriate
• Promote best practices in analytics engineering and solution design
• Apply an automation-first mindset to reporting and operational workflows
• Explore innovative uses of AI to enhance analytics development, documentation, troubleshooting, and insight generationMinimum Requirements
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience)
• 3–5 years of hands-on experience in analytics, BI, or analytics engineering roles
• Strong SQL skills, including complex query writing, stored procedure validation, and performance troubleshooting
• 3+ years of experience using Python for data processing and pipeline development
• Experience working with REST APIs (authentication, error handling, debugging)
• Strong experience developing and maintaining Power BI solutions (Power BI Service, data modeling, DAX)
• Experience working in Microsoft Fabric (Lakehouse, Data Pipelines, Notebooks)
• Ability to independently troubleshoot data and reporting issues across multiple systems
• Strong written and verbal communication skills, with ability to explain technical topics clearly to non-technical audiences
• Demonstrated ability to work independently and manage multiple prioritiesPreferred Skills
• Experience with CI/CD practices for Power BI and analytics solutions
• Experience with version control (e.g., Git)
• Experience supporting operational or logistics environments
• Familiarity with advanced analytics or automation use cases
• Exposure to AI-driven analytics workflows or automation tooling
• Experience collaborating cross-functionally with Data Engineering teamsPhysical Requirements/Working Conditions
• Remain in a stationary position 50% of the time.
• Occasionally move about inside the office to access file cabinets, office machinery, etc.
• Constantly operates a computer and other office productivity machinery such as a calculator, copy machine and computer printer.
• Walk short distances.
• Reach above and/or below shoulder.
• Handle/grasp documents or office equipment.
• Sit and/or stand for short or extended periods of time.
• Lift/carry/move objects, files and documents up to 10 pounds.
• Work in an office environment using standard office equipment.
• Talk, listen, and speak clearly on telephone.
• Maintain regular and punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards.Perks & Benefits
• Want your pay in advance? Access your pay when you need it through DailyPay app!
• Are you a top performer who thrives on recognition? On the spot awards offered through the Awardco Platform including gift cards and more!
• Need quality medical care? Multiple options for both full and part-time employees!
• Want WFS Employee Extras? Travel Discounts, Pet insurance, Discount Shopping & More!
• Looking to stay healthy and improve your life? Wellness Programs offered to all employees!
• Want to invest in your future? 401k program offered!
• Looking to grow and have a career with us? Opportunity for Internal Mobility and transfers available!

WFS is an equal opportunity employer committed to employment equity and inclusion. We accept applications from all qualified individuals.