Data Analyst

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!

** This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in the greater Seattle, Washington area.**

Job Overview
The data analyst is responsible for analyzing business requirements and converting them into data requirements such as reports, visualizations, and data lifecycle management. They will analyze and interpret complex data sets to inform business decisions.

Job Responsibilities:

• Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, capture metadata, define data schema, clean, and prepare data in an appropriate format to perform analysis. Analyze data using statistical techniques to identify trends and patterns (e.g. growth/decline in key metrics) and create visualizations and reports to present findings to business stakeholders and/or data scientists for further actions.
• Perform data profiling, assess, and monitor the quality of data by working with the Data stewards, Data quality leads, and internal stakeholders and support the implementation of data quality rules and remediation of issues.
• Collaborate/Partner with product owner and agile delivery teams to ensure that the project/product is delivered with quality and in time.
• Interpret data models (Logical and Physical) and ensuring they align with the solution design. Convert user requirements into technical specifications and design documents, and identifying new data sources for the data warehouse.
• Also responsible for other Duties/Projects as assigned by business management as needed.

Education and Work Experience:

• Bachelor's Degree (Required)
• 2-4 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud. Required
• 2-4 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data. Required
• 2-4 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Required
• 2-4 years Experience working with relational databases using SQL Required
• 2-4 years Experience with data visualization tools such as Power BI, Tableau etc Required
• 2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus Preferred

Knowledge, Skills and Abilities:

• Technology Knowledge of relational databases and data architecture computer systems, including not limited to SQL (Required)
• Technology Experience working with relational databases using SQL (Required)
• Technology Experience with Data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud. (Required)
• Technology Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data (Required)
• Technology Data Visualization skills using tools such as PowerBI, Tableau etc (Required)
• Communication Excellent presentation, communication, and organizational skills (Required)
• Agile Familiarity with Agile Methodology (Required)
• Problem Solving Strong analytical, critical-thinking skills with demonstrated ability analyze/synthesize data and generate insights. (Required)

Licenses and Certifications:

• Certified Analytics Professional (CAP)
  SnowPro Advanced: Data Analyst
  CompTIA Data Analytics Plus certification
  Microsoft Certified: Power BI Data Analyst Associate (Preferred)

#LI-Corporate

• 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: $68,000 - $122,700

Corporate Bonus Target: 10%

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 benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.