T-Mobile
Overview
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 and incorporating those needs into the system design. Provide guidance and strategy with data curation, ETL process, leading and supporting complex data pipelines. Present analysis and strategies to senior management in verbal and written forms. Other duties or projects as assigned by business management as needed.
Qualifications
4-7 years of experience with data intelligence tools (e.g. Azure Data Studio, Snowflake, Databricks, Google Cloud Platform, Redshift, Adobe Analytics). 4-7 years of experience in reporting and analyzing performance and data visualization (Tableau, Power BI). 2-4 years of experience in online e-commerce or online support environments. 2-4 years of experience in advanced SQL, scripting languages such as Python, and ETL processes to support complex data pipelines. 2-4 years of experience with data warehousing methodologies and modeling techniques. Bachelor's degree in Business Analysis, Finance, Data Science or a similar field required. Master's degree in Business Analysis, Finance, Data Science or a similar field preferred. Legally authorized to work in the United States; at least 18 years of age.
Travel & Regulations
Travel required: Yes DOT Regulated Position: No Safety Sensitive Position: No
Compensation & Benefits
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. Actual starting pay will be based on location, qualifications, and experience. At T-Mobile, employees are eligible for annual bonuses or incentives based on role and performance. For location-based pay ranges, see pay lookup when applying. Benefits
Full and part-time employees are eligible for medical, dental, and vision insurance, flexible spending accounts, 401(k), employee stock grants and purchase plan, paid time off, and up to 12 paid holidays. Benefits also include parental and family leave, family-building benefits, disability and life insurance options, and employee discounts on mobile service and home internet. See www.t-mobilebenefits.com for details. EEO & Accommodation
T-Mobile USA, Inc. is an Equal Opportunity Employer. Decisions will be made without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, veteran status, or disability. If you need reasonable accommodation during the application or interview process, please contact ApplicantAccommodation@t-mobile.com or 1-844-873-9500. Never stop growing! Youre unstoppable at T-Mobile. #J-18808-Ljbffr
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 and incorporating those needs into the system design. Provide guidance and strategy with data curation, ETL process, leading and supporting complex data pipelines. Present analysis and strategies to senior management in verbal and written forms. Other duties or projects as assigned by business management as needed.
Qualifications
4-7 years of experience with data intelligence tools (e.g. Azure Data Studio, Snowflake, Databricks, Google Cloud Platform, Redshift, Adobe Analytics). 4-7 years of experience in reporting and analyzing performance and data visualization (Tableau, Power BI). 2-4 years of experience in online e-commerce or online support environments. 2-4 years of experience in advanced SQL, scripting languages such as Python, and ETL processes to support complex data pipelines. 2-4 years of experience with data warehousing methodologies and modeling techniques. Bachelor's degree in Business Analysis, Finance, Data Science or a similar field required. Master's degree in Business Analysis, Finance, Data Science or a similar field preferred. Legally authorized to work in the United States; at least 18 years of age.
Travel & Regulations
Travel required: Yes DOT Regulated Position: No Safety Sensitive Position: No
Compensation & Benefits
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. Actual starting pay will be based on location, qualifications, and experience. At T-Mobile, employees are eligible for annual bonuses or incentives based on role and performance. For location-based pay ranges, see pay lookup when applying. Benefits
Full and part-time employees are eligible for medical, dental, and vision insurance, flexible spending accounts, 401(k), employee stock grants and purchase plan, paid time off, and up to 12 paid holidays. Benefits also include parental and family leave, family-building benefits, disability and life insurance options, and employee discounts on mobile service and home internet. See www.t-mobilebenefits.com for details. EEO & Accommodation
T-Mobile USA, Inc. is an Equal Opportunity Employer. Decisions will be made without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, veteran status, or disability. If you need reasonable accommodation during the application or interview process, please contact ApplicantAccommodation@t-mobile.com or 1-844-873-9500. Never stop growing! Youre unstoppable at T-Mobile. #J-18808-Ljbffr