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 #VTeamLife.
What you’ll be doing...
The Verizon Business Group Strategy team holds a key role in helping shape this new path. As a key member of the VBG Strategy team’s Analytics Center of Excellence, you will be finding and analyzing data to answer a number of strategic questions to support our executive team in the Verizon Business Group. Your analyses will form the basis of recommendations that shape the way Verizon goes to market, services our customers, builds new products, and much more! These requests will come from all corners of the organization including Global Enterprise, Business Markets, Product, and Strategic Governance. You will support these strategy professionals across our organization in the development of their strategic recommendations when it comes to everything from data sourcing to query formulation to data stitching to analytical modelling. In order to succeed, you will become an expert in Verizon’s data architecture and ecosystems as well as developing and maintaining strong relationships with the key data stakeholders in the company.
Collaborating with stakeholders, data engineers, developers, and business leaders on initiatives that require an analytical expertise and/or an analytical solution
Sourcing data from key stakeholders, company systems, surveys, and external 3rd party sources
Efficiently joining and manipulating numerous large, disparate datasets, ensuring data integrity and accuracy
Identifying and implementing opportunities for parallel processing and query optimization to improve data retrieval times
Contributing to the development and enhancing of data warehousing solutions
Investigating data issues to resolve inconsistencies and ensuring high quality
Finding answers to difficult strategic questions through deep analysis and formulating actionable recommendations
Socializing solutions and gathering feedback to ensure accuracy and actionability of analysis and recommendations
Visualizing data and building presentations to help stakeholders, leaders, and executives understand the analysis
Leveraging advanced analytics/modeling to examine word frequency and sentiment, cluster natural groupings, and predicting key phenomena to help us prioritize the right things
Asking good questions and probing deeply to learn more every day about important business processes and opportunities
What we’re looking for...
You’ll need to have:
A Bachelor’s degree or four or more years of work experience
Four or more years of relevant experience required, demonstrated through work experience and/or military experience
Proficiency using SQL
Understanding of advanced data engineering (e.g., building data pipelines, data cleansing, fuzzy matching, etc.)
Understanding of advanced statistical methods (e.g., regression, classification algorithms, gradient boosted ensembles, etc.) and experience in data analytics platforms and visualization software tools
Ability to translate complex ideas and express them in concise, simple to understand ways
Ability to thrive in a dynamic environment, meet deadlines, and simultaneously work on multiple projects
Comfortable working across all levels of an organization, leveraging organizational, interpersonal, presentation, and time-management skills
Even better if you have one or more of the following:
Advanced degree in a technical field (in particular, Data Engineering, Data Science, Computer Science, Engineering, Business Analytics) or MBA
Two or more years of experience in a quantitative/technical role (e.g., data engineering, data science, applied analytics, mathematics, engineering, etc.), even better for a tier 1 management consulting firm
Proficiency using Python or R
Knowledge of data engineering and data science tools (e.g., Alteryx, Knime) and visualization tools (e.g., Tableau)
Experience with business problem definition, insight synthesis, and executive communication
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.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
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