Associate Analyst – Loyalty Program

Loyalty

Loyalty is responsible for the strategic planning, development and execution of our MileagePlus programs and the associated partnership development and marketing

Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.

Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups.

Create what’s next with us. Let’s define tomorrow together.

Job overview and responsibilities

As an Associate Analyst, you will complete data analytics projects that create customer strategies, sustainable revenue and share growth, efficiencies and cost savings. This role requires a working knowledge of analytical concepts and tools. This role reports to the Manager – Marketing and Loyalty Data Analytics (CSC).

• Assist in ad-hoc decision support, analytics projects, and scenario analyses
• Gather and organize data from various sources using SQL/Python/R
• Create, modify and automate reports and dashboards – take ownership of reporting structure and metrics, clearly and effectively communicating relevant information to decision makers using data visualization tools such as TIBCO Spotfire
• Prepare presentations for United leadership and external stakeholders
• Collaborate with Enterprise Data Science, Data Engineering, and IT development teams as appropriate
• Perform statistical analyses including loyalty customer engagement and marketing promotions analytics, and build descriptive & predictive models using analytical tools such as SQL, R, Python, and SAS