Business Intelligence- Associate Director

About the position When you join Verizon, you want more out of a career. A place to share your ideas freely — even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that give them the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Responsibilities • Having advanced knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. to guide optimal decisions across various key pricing initiatives related to acquisition volume, quality, revenue growth and pricing elasticity. • Researching and building proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for device roadmap assortment, arbitrage analysis, and pricing elasticity. • Building Financial models leveraging acquisition modeling and other machine learning techniques while partnering with base management on optimal assortment and leveraging their acquisition quality index for predictive modeling. • Creating various device assortment forecasting models while partnering with brand and FP&A during OEM negotiations to assist with scenario planning during the modular roadmap process. • Researching and evaluating price moves to competition and gray market pricing to determine arbitrage impact and provide analytics on optimal thresholds of arbitrage potential to mitigate subsidy loss. • Partnering with Reporting & Analytics on one data initiatives to bring in retailer POS data to aid in analytics across retailers and channels. • Providing guidance to Pricing and Insights team on various business case assumptions during the commercial process. • Providing optimal device pricing recommendations to the organization. • Generating business insights by using various predictive modeling techniques. • Developing strong relationships with business partners across the value organization to drive transformational change. • Partnering with functional groups (Finance, Base Management, Marketing, GTS, AI&D and others) to drive effective business decisions. • Being recognized as a subject matter expert and participate in knowledge sharing sessions. • Continually broadening and strengthening knowledge of analytical methods, vendors and tools. • Managing/Coaching other Data Analytics Professionals. Requirements • Eight or more years of relevant work experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. • Bachelor's degree or four or more years of work experience. • Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). • High proficiency with Microsoft Excel and PowerPoint. • Experience leading a team. • Experience managing large complex projects involving multiple work streams and stakeholders. Nice-to-haves • MBA highly preferred. • Strong Predictive / Prescriptive modeling experience. • Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives. • Ability to translate complex ideas and express them in concise, simple to understand ways. • Proven ability to take initiative, influence others and achieve results. • Experience gathering, organizing and analyzing large amounts of information. • Experience presenting ideas and content to a variety of stakeholders at various levels. • Experience working collaboratively with a variety of stakeholders. • Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges. • Experience managing and influencing relationships at the senior executive level. • Ability to present and interact with all levels of management. • Excels at working under pressure on multiple projects simultaneously while meeting deadlines with frequent interruptions and redefined priorities. • Skilled and comfortable at working within the marketing matrix. 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