T-Mobile US - Bellevue, WA

posted 5 days ago

Full-time - Mid Level
Bellevue, WA
Telecommunications

About the position

The Business Intelligence Senior Analyst at T-Mobile is responsible for guiding Digital product teams through the analysis of complex mobile app and web performance data. This role focuses on creating customer-centric solutions driven by data analysis, business insight, and effective communication. The analyst will utilize tools like Power BI and Tableau to create reports and dashboards, and will also participate in data collection development and administration of standardized reports for business partners.

Responsibilities

  • Support the analytic needs of the business by using data from various sources (e.g. call centers, SAP, Adobe, & Business Objects).
  • Design, implement, and support modern data solutions with Azure technologies and Snowflake.
  • Create comprehensive dashboards from different data sources for presentations to senior management and product working teams.
  • Lead the process of driving and surfacing core insights from available data and create strategies to improve the customer experience & performance.
  • Early involvement in enterprise projects to define reporting needs & incorporating those needs into the system design.
  • Provide guidance and strategy with data curation, ETL process, leading and supporting complex data pipelines.
  • Present analysis & strategies to senior management in verbal & written forms.
  • Responsible for other Duties/Projects as assigned by business management as needed.

Requirements

  • 4-7 years Experience with data intelligence tools (e.g. Azure Data Studio, Snowflake, Databricks, Google Cloud Platform, Redshift, Adobe Analytics).
  • 4-7 years Experience in reporting & analyzing performance & data visualization (Tableau, Power BI).
  • 2-4 years Experience in online e-commerce or on-line support environments.
  • 2-4 years Experience in advanced SQL, scripting languages such as Python and ETL process to support complex data pipelines.
  • 2-4 years Experience with data warehousing methodologies and modeling techniques.
  • Bachelor's degree in Business Analysis, Finance, Data Science or Similar Degree required.
  • Master's degree in Business Analysis, Finance, Data Science or Similar Degree preferred.

Benefits

  • Medical, dental and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs
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