What you’ll be doing...

You’ll provide business intelligence that helps our team to evaluate complex issues and make smart decisions. You’ll partner with your internal clients to understand what they need to know, and then design the research plan to get answers. You’ll also design new systems and programs to gather and unleash the power of big data. You will generate insights that will help propel our business forward.

  • Collaborating with others to identify analytic requirements and devise the best possible solution.
  • Analyzing complex operational, economic and accounting data to quantify the competitive business segments and evaluate potential operational changes.
  • Defining problems, collecting data, establishing facts and drawing conclusions.
  • Developing innovative strategies.
  • Developing models to predict future outcomes.
  • Consulting with stakeholders and senior leaders on insights, trends, and data-driven solutions.

Additional responsibilities:

  • Leading for the design, creation, and management of the Digital organization’s data structure
  • Assessing, recommending, and executing a consolidated strategy for data storage and automation technologies.
  • Reviewing requests for data, research potential sources, and create data models to support.
  • Designing, extracting, transforming, and load data across multiple data sources.
  • Designing controls and mechanisms to insure data quality standards.
  • Handling digital representative of the Performance Metrics Committee (PMC), communicating changes to digital data logic or logic around enterprise wide business metrics.
  • Developing and documenting advanced alert structure for data anomaly detection.

What we’re looking for...

The potential of big data fascinates you. You’re energized by the challenge of creating a system that will turn data into insights, enabling the business to make even smarter decisions. You’re great at understanding and analyzing business needs, and translating them into the technical requirements to drive a research agenda.

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Analyzed big data, distilled insights, and made business recommendations.

Even better if you have:

  • A degree in computer science, information systems, or a business-related field.
  • Presented complex ideas and insights to a variety of audiences.
  • Built and deployed OLAP cubes with SSAS, or worked with Teradata SQL.
  • Experience with statistical analysis, quantitative analysis, forecasting/predictive analytics, multivariate testing.

In addition:

  • Five or more years in data management & modeling.
  • Strong knowledge and experience using and managing MS SQL Server, SSRS, SSIS and SSAS in an enterprise data warehouse environment.
  • Strong data modeling and database design skills.
  • Proficiency in database administration.
  • Ability to work independently with general supervision.
  • Intellectually curious, innovative and detail oriented capabilities.
  • Demonstrated ability to thrive in a fast-paced, changing environment.
  • Excellent communication skills, both oral and written.

When you join Verizon...

You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.

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. Different makes us better.