When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

You’ll be part of a leading-edge advanced analytics team helping us lead with analytics across the organization to improve customer experience, drive optimal operations in some of the world’s most unique supply chain, and manage millions of square feet in real estate. Using your analytics expertise, you’ll help us figure out how to get the most accurate information and insights from all kinds of data.

  • Translating supply chain challenges into an analytical problem, and relaying results in common business language with managerial implications.
  • Driving strategic efforts across the supply chain organization, leveraging advanced analytics to optimize processes and procedures that lead to improved device life cycle management, working capital optimization and cost reduction.
  • Ensuring appropriate and correct modeling techniques are used by the data scientists and analysts in the team.
  • Partnering with Supply Chain operational teams (e.g., supply & replenishment planning, distribution & logistics) and other Verizon organizations (e.g., device marketing, merchandising) to identify supply chain inefficiencies and potential root causes.
  • Acting as the go-to-person for the data scientists and analysts for technical modeling questions, and the state-of-the-art models and software in the field.
  • Working as the analytics lead person in an operational planning team, supporting our core business, being part of the team and being equally responsible for achieving business targets with minimum possible cost and working capital.
  • Owning the development and adaptation of quantitative models which recommend inventory targets for different stock points in the supply chain (DCs, stores, etc.) for critical and strategic OEM's.
  • Providing data-driven and analytics support and business recommendations for BAU disruptions in supply and demand like promotions.
  • Supporting day-to-day and tactical analytics needs of the operational teams like setting safety stock targets at DCs and stores.
  • Designing and implementing creative approaches to predictive modeling problems.
  • Performing model assessments, validation, and enhancement activities.
  • Tracking and reporting success metrics for projects and their impact on key supply chain KPIs.
  • Partnering with IT to effectively migrate analytical models from prototype to production.
  • Driving adoption and application of analytical model results with business partners, ensuring benefits realized.
  • Providing research/analysis information to department/executive staff.
  • Mentoring for data scientists and analysts in the team.
  • Acting as an individual contributor, with autonomy in technical and analytical choices, such as determining the appropriate modeling technique to utilize and design decisions.

Where you’ll be working:

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You are good with numbers and you love to dig into data to find the story. Turning data into a consumable story is a fun afternoon for you. You are detail-oriented and know how to focus on what really matters. You understand the importance of accuracy in data analytics and reporting. You are a self-starter and a multi-tasker who can work independently under tight timelines. You want to make an impact by providing the data that will help improve the experience of our customers.

You’ll need to have:

  • Bachelor’s degree in Supply Chain, Operations Research, Engineering, Statistics, Economics or a related field or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Three or more years of experience in developing and implementing analytical models in business.
  • Hands-on experience with SQL and statistical software packages (e.g. R, SAS or SPSS).
  • Analytics experience with common statistical and machine learning approaches.

Even better if you have one or more of the following:

  • Master’s or PhD in Operations Research, Engineering, Statistics, Economics or a related field.
  • Experience with data visualization software such as Qlikview, Tableau or Excel.
  • Coding skills (for personal use) in a general-purpose programming language (e.g., Python, R).
  • Experience and competency in supply chain management.
  • Excellent verbal and written communication skills.
  • Proficiency in engaging and influencing large teams and functional leaders.

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.