Overview:
Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking.  Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.
Responsibilities:
Key Responsibilities:
* Partner with senior leadership to understand business challenges and translate them into analytical problems
* Proactively frame and refine critical business questions, driven by intellectual curiosity and a systematic approach to hypothesis testing to uncover actionable insights
* Demonstrate intellectual agility and analytical rigor ("quick on feet") to swiftly follow complex data trails and pivot hypotheses as data analysis dictates, ensuring all conclusions are empirically supported
* Synthesize complex findings into clear, actionable insights that inform business strategy
* Build and deliver executive-level presentations and storytelling dashboards that highlight key trends, drivers, and recommendations
* Champion data-driven decision-making across the organization
* Collaborate closely with cross-functional teams including Finance, Strategy, Operations, and Marketing
Qualifications:
Education and Experience:
* Bachelor's degree in Business, Analytics, Data Science, Economics, or related field; Master's degree a plus
* 5+ years of experience in analytics, insights, or business intelligence roles
* Proven ability to conduct structured problem solving and deep-dive analyses
Skills and Qualifications:
* Exceptional storytelling and communication skills, with the ability to craft insights for executive-level audiences
* Experience influencing decision-making and strategy through data-driven insights
* Strong organizational skills and ability to manage multiple priorities in a fast-paced environment
Preferred Qualifications (Nice-to-Haves):
* Experience with advanced data management, including identifying, gathering, and structuring relevant data across multiple systems and sources.
* Proficiency in designing and maintaining complex queries and data pipelines using SQL, and utilizing Python or other advanced analytical tools for data manipulation.
Visa sponsorship not available for this role
			
			
			
			
			
				
					
					
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