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At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! The Business Intelligence Senior Analyst is responsible for guiding the Digital product teams through the analysis of complex mobile app and web performance data. This role requires the creation of customer centric solutions/approaches driven by data analysis, business insight, creativity, and effective communication. This position requires a solid understanding of the ability to create reports, dashboards, critical metrics and data visualization using Power BI and Tableau through advanced SQL. This position will also participate in the development and QA of data collection, as well as administration of standardized reports to be used across 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. Also responsible for other Duties/Projects as assigned by business management as needed. Qualifications: 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 * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):Yes DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Base Pay Range: $80,600 - $145,500 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here. At T-Mobile, our