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Verizon

Business Intelligence Senior Manager

Verizon, Boston, Massachusetts, us, 02298


When you join VerizonYou 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.

What you’ll be doing...The Artificial Intelligence & Data (AI&D) organization is an exciting center of excellence supporting all of Verizon. Our team is a catalyst to Verizon's future in creating networks that move the world forward through the power of Artificial Intelligence & Data.

You will be a strategic thinker joining a high-profile, high-visibility team that powers data science and strategic thinking for Verizon. You will be part of a team that builds tools, analyses, adds insights that inform, quantifies, and enables the visualization of data to drive business decisions for all of Verizon’s networks. With your analytical, big data, and AI/ML expertise, you will deliver business value through business intelligence and data science by driving insights to actions. One way you will accomplish this is by developing analytical views of data utilizing various BI and data science tools such as Tableau, Qlik, Looker, Python and other analytical toolsets. You will also connect various databases to stage data. The business insights and recommendations you provide will help to improve Verizon’s performance across multiple key business metrics.

Performing ad-hoc analysis and developing reproducible analytical approaches to meet business requirements

Performing exploratory and targeted data analyses using descriptive statistics and other methods

Performing geospatial analyses and creating geospatial visualizations to respond to business requests

Presenting results and recommendations to senior management and business users

Strategizing, coordinating, detailing, resource planning, and defining scope on multiple projects with evolving timelines in various stages of completing

Leading collaboration with business leads and VGS to execute all visual design phases from concept and requirements to final hand-off to business unit end-users

Conducting and ensuring user acceptance testing with VGS for database and applications prior to production release to include software testing, quality assurance, and solution certification and approval

Establishing and promoting our brand standards and best practices in and across business units and VGS

Detailing and demonstrating solutions by developing wireframes, production documentation, flowcharts, layouts, diagrams, charts, and models

Reviewing existing visualizations to assess existing opportunities for improvement within the business and to drive an outstanding User Interface solution

What we’re looking for...You’ll need to have

Bachelor’s degree or four or more years of work experience

Six or more years of relevant work experience

Knowledge of wireless and wireline network fundamentals

Experience working with data extraction from databases using SQL

Experience with visual science / dashboard design principles

Even better if you have one or more of the following

Masters of Science in Computer Science, Engineering, or a related technical field

Experience in applying statistical ideas and methods to data sets to answer business problems

Experience with developing insights, presenting, and influencing strategic decisions using data

Strong understanding of data science

Experience with process, data, and automation work

Experience with Google Cloud Platform (GCP)

Experience with Python, Spark, and SQL to manipulate data and draw insights from large data sets

Experience with Alteryx or similar ETL/geospatial tools

Working knowledge of data engineering techniques

Proven ability to present complex or technical topics in an engaging way

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.

Where you’ll be workingIn this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours40

Equal Employment OpportunityWe’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.

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 benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

If you are hired into a California, Colorado, Connecticut, Hawaii, Maryland, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $107,000.00 and $198,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.