Analyst - AO Business Strategy & Execution
- Build high-quality dashboards, tools and reports for the AO Business Office Leadership
- Oversee the analysis of large datasets to identify patterns, trends, and insights that can shape effective AO Business Office strategies and tactics
- Create meaningful metrics to support finance-related decisions for AO Business Office
- Streamline and automate existing processes and reports to enhance efficiency
- Document and organize data while ensuring proper storage and maintenance
- Ad-hoc support in AO Business Office Centralization team finance processes
- Highschool diploma or relevant work experience
- 2+ years’ experience in data analyst role focusing on data visualization and reporting
- Must be proficient in Microsoft Excel and PowerPoint
- Expertise in Power-Bi, PowerApps dashboard development
- Strong analytical and problem-solving abilities
- Strict attention to detail and a commitment to accuracy
- Familiarity with writing complex queries and procedures using both traditional and modern technologies/languages (i.e. SQL, VBA, Python, Spark, etc.)
- Ability to learn what a business team does, then design a data/technology solution that connects business processes with quantifiable outcomes
- Automate existing manual reports and processes to improve operational throughout
- Build predictive models and analyze results for dissemination of insights to United leadership
- Design meaningful metrics that indicate operational health and inform operational decisions
- Must be willing and able to travel 15%-20% domestic if needed
- External out of state: This position is not eligible for relocation. Must be willing and able to relocate at your own expense
- Must be willing and able to work a hybrid schedule 3 days in-office at the Arlington Heights Support Center (AHSC) in Arlington Heights, IL
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
- Bachelor's degree or 4 years of relevant work experience
- Master's degree or 6 years of relevant work experience
- Field of study in Finance, Accounting, Analytics, Computer Science, Engineering or related area of study
- Familiarity with various parts of the data ecosystem (i.e. acquisition, engineering, storage, management, analysis, visualization, and deployment)
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