Engineer Specialist - Data Science
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Role details
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Job description
Develop, automate and derive insights utilizing analytics and reporting tools; Collaborate and partner with Digital and Omni channel stakeholders to identify analytics and reporting requirements and baseline metrics prior to executing new use cases; Develop KPIs and reporting dashboards in Tableau/Qlik/Looker/Adobe to measure, analyze and report trends on system engagement and E2E CX journey metrics with path analysis, cohort segmentation, and value extrapolation; Source and analyze data from various data repositories, validate data for consistency, and partner with IT teams to ensure data integrity and KPI calculations; Stitch together data from multiple channels to formulate a complete customer journey 360 view; Create and deploy actionable dashboards for business owners to gauge performance and assist with omni channel optimization decisions; Develop reporting visualizations to highlight insights on opportunities to reduce journey fallout, channel hops, post digital assisted contact rate and optimize human interactions; Work on stakeholder scorecards and dashboards with executive leadership to gain alignment and promote usage and maintain consistent KPI definitions in Collibra for data governance; Run simulations for Omni insight personalization, holistically analyze end-to-end flows and paths; Correlate, interpret and summarize scorecard reports for Omni, assisted and cross-channel metrics and quantify business outcomes for data-driven campaigns and business performance., In this hybrid role, you’ll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours 40
Requirements
Bachelor’s or foreign equivalent degree in Data Science, Computer Science, Computer or Electrical Engineering, or a related field, and 4 years of experience in the job offered or as a Business Intelligence or Analytics Developer, Data Engineer, or in a related/similar position. Experience therein to include 4 years in creating SQL queries to pull data from relational and non-relational data sources (including Teradata, and Google Cloud Platform or BigQuery), using data visualization tools (including Tableau, Looker, and Qlik or Adobe) to develop reports, conducting research or analysis, managing projects for multiple stakeholders, and ensuring on-time delivery of key project initiatives. Hybrid role, ability to work from home.
About the company
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.
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