Business Intelligence Consultant

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.

• Driving descriptive and diagnostic analytics across various business domains.
• Designing and building impactful data visualization and storyboards to provide actionable insights.
• Analyzing structured and unstructured data using data mining/statistical/machine learning techniques to identify business drivers.
• Develop Augmented Analytics solutions by applying AI routines and algorithms to generate actionable business insights.
• Analyzing business requirements, writing SQL logic to extract and summarize multi-dimensional data from Teradata EDW, GCP or other sources.
• Validating and synthesizing data from multiple sources and reporting systems into analytics datasets to support project goals.
• Operationalizing the analytics delivery using KNIME workflow and automation; develop visualizations is front-end tools such as Looker, Thoughtspot or Qlik.
• Documenting the data flow process and business logic and update data dictionary.
• Mentoring/Guiding one to two members in the team on technical aspects as needed.

• Bachelor's degree in Computer Science, Engineering, Operations Research or other Quantitative Fields or four or more years of work experience.
• Four or more years of relevant work experience.
• Experience Building E2E scalable mid to large size BI and Advanced Analytics solutions for enterprise-wide consumption.
• Experience handling large volumes of data across traditional (Teradata, Oracle) and/or Cloud Based (Google Cloud, AWS) platforms.
• Experience designing and implementation of ETL frameworks using any of Talend, Informatica, Knime, or Alteryx.
• Experience applying statistical and machine learning techniques to extract insights and conduct "driver analysis".
• Strong programming experience in SQL and one of R/Python.

• Master's degree in Computer Science, Engineering, Operations Research or other Quantitative Fields.
• Experience in data lake (Hadoop), Cloud computing, PySpark, Scala and/or other languages and tools.
• Excellent verbal and written communication.
• Ability to learn quickly and identify critical paths to solve complex issues.
• Experience presenting to and influencing functional leaders and partners.
• Ability to work effectively independently under tight time constraints and demonstrate a growth mindset.
• Experience working with cross-functional teams in a dynamic environment.

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.

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.