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The Senior Business Analysis Manager delivers big insights and helps leaders throughout the business to make critical strategic and operational decisions and craft the long-term vision of T-Mobile. The role involves responsibility for insights, analysis, and reporting using various analytical techniques and software, including statistics, data science, data mining, machine learning and business intelligence/reporting software. They build customer-centric recommendations informed by analysis and partner with the business to drive improvements in a matrixed environment through creativity and effective communication. Collaboration with various teams including marketing, product and platform teams on sophisticated modeling and analysis requests is expected.
Job Responsibility:
Interact with various teams across the T-Mobile to provide insights, analysis and recommendations that deliver data-driven, optimized experiences
serve as a key point of contact in providing data and reporting solutions to drive enterprise results, including reports, dashboards, visuals, and self-service environments
define product feature and campaign success metrics and benchmarks
use analytical and modeling capability to improve decision making across a range of options and present findings and recommendations for prioritization of resources to all levels of the organization
construct executive-level presentations and present sophisticated analytical findings in clear, concise and decision-impacting manner
possess the ability to influence leadership through fact-based analysis.
Requirements:
Bachelor's Degree in Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience
7-10 years of analytics experience solving analytical problems using quantitative approaches
experience in reporting and analyzing performance and data visualization (Tableau, Power BI, etc.)
sophisticated analytics, including SQL analysis of complex datasets, competitive analysis, quantitative analysis and research
experience with Python, R, Go or similar statistics or data science language preferred
ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner at the executive level
problem solving skills
outstanding at using multifaceted datasets to deliver broad analysis and insights to improve value creation and return on investment
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