Business Intelligence - Sr Mgr
About the position
Responsibilities
• Driving the run-and-operate transformation initiative and delivering an in-depth analysis of Verizon's revenue, profitability, products, services, promotion, pricing, and customer trends to guide business decisions.
• See beyond what is requested and build solutions that address the current and anticipated data needs of the business.
• Quickly interpret complex business requests and break them down into smaller problems in terms of complexity.
• Evaluate and offer feedback on reports and data visualizations.
• Examine visual reports for insights or anomalies by various dimensions.
• Leading and executing the automation of reporting solutions using Qlik, ThoughtSpot, Looker, Knime, Alteryx, Google Workspace apps, Gemini, Teradata and BigQuery.
• Establish best practices for building reports, dashboards, pinboards, and other visualizations.
• Share the best practices to democratize reports and dashboard development but with safety guard rails.
• Understand how business units use visualization tools and build a framework for business units to create visualizations using a single source of truth.
• Develop guidelines on which visualization tool to use in what scenario to enable simplicity and efficiency at scale.
• Provide requirements to the data products team.
• Translate cross-functional business requirements into data product requirements to enable multiple uses for each data product.
• Understand the evolution of industry trends and techniques to envision easy-to-use business intelligence solutions.
• Participate in cross-functional project teams to identify critical items required from a reporting perspective.
• Continue identifying opportunities to enhance data analysis, reporting efficiency, and methodology.
• Stay on top of business changes, identify new gaps in data, and keep production reports and dashboards 'relevant' to the business at all times.
• Collaborate with teams to establish clear goals and KPIs, assist in delegating tasks and setting project deadlines.
• Contribute to creating a positive and motivating work environment and atmosphere for success.
• Offer coaching and mentoring to provide guidance on implementing solutions and assist other team members in resolving any issues or conflicts.
Requirements
• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Two or more years of experience in Teradata.
• One or more years of experience developing datasets on Qlik or ThoughtSpot platforms.
• Experience in successfully driving large-scale adoption of self-service analytics platforms.
• One or more years of experience supporting Analytics for Finance teams.
• Experience managing a small team.
• Knowledge and experience in Knime, Alteryx, Python, Gemini, Google Apps Script, and BigQuery.
Nice-to-haves
• Bachelor's or Master's degree in Finance or any data discipline.
• Expert understanding of Business Intelligence and associated disciplines.
• Understanding of all facets of data, including data engineering, data products, analysis, visualization, predictive analytics, and prescriptive analytics.
• Excellent analytical skills and problem-solving experience, with the ability to break down a problem into its components and solve it using subjective and objective techniques.
• Experience working in a modern Data Warehouse using current technologies and services.
• Demonstrate advanced knowledge and understanding of Telecommunication data sets - Wireline, Wireless & Network data set.
• Outstanding communication, presentation, and interpersonal skills.
• Ability to inspire other team members with energy and passion to achieve transformational change with new working methods.
• Proven experience driving change to achieve results in smaller intervals while aiming for the North Star transformation goal.
• Proactive problem-solving capabilities.
• Knowledge of advanced technology concepts like Teradata, Big Query, Big Data, Hadoop, Hive, Cloud, etc.
Apply Now
Apply Now
Responsibilities
• Driving the run-and-operate transformation initiative and delivering an in-depth analysis of Verizon's revenue, profitability, products, services, promotion, pricing, and customer trends to guide business decisions.
• See beyond what is requested and build solutions that address the current and anticipated data needs of the business.
• Quickly interpret complex business requests and break them down into smaller problems in terms of complexity.
• Evaluate and offer feedback on reports and data visualizations.
• Examine visual reports for insights or anomalies by various dimensions.
• Leading and executing the automation of reporting solutions using Qlik, ThoughtSpot, Looker, Knime, Alteryx, Google Workspace apps, Gemini, Teradata and BigQuery.
• Establish best practices for building reports, dashboards, pinboards, and other visualizations.
• Share the best practices to democratize reports and dashboard development but with safety guard rails.
• Understand how business units use visualization tools and build a framework for business units to create visualizations using a single source of truth.
• Develop guidelines on which visualization tool to use in what scenario to enable simplicity and efficiency at scale.
• Provide requirements to the data products team.
• Translate cross-functional business requirements into data product requirements to enable multiple uses for each data product.
• Understand the evolution of industry trends and techniques to envision easy-to-use business intelligence solutions.
• Participate in cross-functional project teams to identify critical items required from a reporting perspective.
• Continue identifying opportunities to enhance data analysis, reporting efficiency, and methodology.
• Stay on top of business changes, identify new gaps in data, and keep production reports and dashboards 'relevant' to the business at all times.
• Collaborate with teams to establish clear goals and KPIs, assist in delegating tasks and setting project deadlines.
• Contribute to creating a positive and motivating work environment and atmosphere for success.
• Offer coaching and mentoring to provide guidance on implementing solutions and assist other team members in resolving any issues or conflicts.
Requirements
• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Two or more years of experience in Teradata.
• One or more years of experience developing datasets on Qlik or ThoughtSpot platforms.
• Experience in successfully driving large-scale adoption of self-service analytics platforms.
• One or more years of experience supporting Analytics for Finance teams.
• Experience managing a small team.
• Knowledge and experience in Knime, Alteryx, Python, Gemini, Google Apps Script, and BigQuery.
Nice-to-haves
• Bachelor's or Master's degree in Finance or any data discipline.
• Expert understanding of Business Intelligence and associated disciplines.
• Understanding of all facets of data, including data engineering, data products, analysis, visualization, predictive analytics, and prescriptive analytics.
• Excellent analytical skills and problem-solving experience, with the ability to break down a problem into its components and solve it using subjective and objective techniques.
• Experience working in a modern Data Warehouse using current technologies and services.
• Demonstrate advanced knowledge and understanding of Telecommunication data sets - Wireline, Wireless & Network data set.
• Outstanding communication, presentation, and interpersonal skills.
• Ability to inspire other team members with energy and passion to achieve transformational change with new working methods.
• Proven experience driving change to achieve results in smaller intervals while aiming for the North Star transformation goal.
• Proactive problem-solving capabilities.
• Knowledge of advanced technology concepts like Teradata, Big Query, Big Data, Hadoop, Hive, Cloud, etc.
Apply Now
Apply Now