Analyst - Tech Ops Business Intelligence

Come join us to create what’s next. Let’s define tomorrow, together.

Description

At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.

Job Overview and Responsibilities

United's Maintenance & Engineering operation collects mountains of data, including maintenance plans, log pages, task sign-offs, schedule reliability performance, aircraft routing, part availability, and more. The Tech Ops Business Intelligence team will be tasked to deliver the right information to the right people in the right format at the right time, all with the goal of enabling better operational decisions that improve United's flight completion rate, on-time performance, productivity, and cost. This includes both performance trends looking backward, real-time operational status, and expectations looking forward. The team has five core responsibilities: Data design and validation, Data analysis, KPI design, dashboard creation, and automation.

• Support with design of meaningful metrics that indicate operational health and inform operational decisions
• Generate high-quality operational dashboards and reports for Tech Ops leadership, front-line management, and individual business teams throughout the organization
• Curate tables and views that serve as the "single source of truth" for United's Tech Ops data
• Continuously interface with business groups throughout Tech Ops to understand organizational needs and design solutions
• Support with automating existing manual reports and processes to improve operational throughput
• Document the Tech Ops data landscape, maintain an inventory of reports, and plan for report consolidation, elimination, and/or improvement

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree in a quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, or related field required
• At least 2 years of experience in analytics/ reporting required
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Understanding of data structures, relationships, and efficient transformations
• Knowledge and application of data visualization best practices
• Familiarity with writing complex queries and procedures using both traditional and modern technologies/languages (i.e. SQL, Python, Spark, etc.)
• Data visualization skills using one or more reporting tools (i.e. Spotfire, Tableau, ggplot2, etc.) to produce meaningful, elegant dashboards
• Experience with JavaScript, D3, HTML, CSS / front-end development
• Ability to learn what a business team does, then design a data/technology solution that connects business processes with quantifiable outcomes
• Must be legally authorized to work in India for any employer without sponsorship
• Must be fluent in English and Hindi (written and spoken)
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

• Master's Degree in a quantitative field preferred
• Airline experience or knowledge of airline operations preferred
• Familiarity with various parts of the data ecosystem (acquisition, engineering, storage, management, analysis, visualization, and deployment) preferred
• Exposure to statistical and analytical methods preferred