Senior Data Analyst - Operational Excellence

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Job Overview

The senior data analyst is responsible for analyzing business requirements and converting them into data requirements such as reports, data lifecycle management. They will deeply analyze and interpret sophisticated data sets to advise business decisions. The senior data analyst will also be encouraged to lead and mentor junior data analysts as well as communicate findings and recommendations to customers and management
Job Responsibilities:

• Leverage extensive domain expertise to identify and access data from a range of data sources including SQL/NoSQL databases, social media, surveys within organization, and additional, public domain, market data sources. Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, bring together metadata, define data schema, clean, and prepare data in an appropriate format to perform analysis. Analyze data to identify trends and patterns (e.g. growth/decline in key details: build and master visualizations and reports to present findings to business partners and/or data scientists for further actions..
• Build expert knowledge of products, systems, data and data quality in order to provide high business-impact analysis and consultation. Provide robust, data-driven customer insights and recommendations for strategic decision-making purposes by performing deep dives and providing meaningful analysis to the business units
• Assess and supervise the quality of data by working with the Data stewards, Data quality leads, and internal customers and support the implementation of data quality rules and remediation of issues.
• Provide guidance and mentorship to junior members of the team.
• Build a culture of teamwork and innovation. Proactively identify problems through the data and formulate potential opportunities that can be pursued by the business.
• Collaborate/Partner with product owner and delivery teams to ensure that the project/product is delivered with quality and in time. Assist the scrum master to provide estimate and impact assessment.
• Interpret data models (Logical and Physical) and ensuring they align with the solution design. Design reusable and scalable frameworks to achieve standardization and efficiency. 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:
• Bachelor's Degree or equivalent experience (Required)
• Work Experience:
• 4-7 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases on both on- prem and cloud such as Azure, AWS and Google Cloud. (Required)
• 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data (Required)
• 4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Required)
• 4-7 years Experience working with relational databases using SQL (Required)
• 4-7 years Experience with data visualization tools such as Power BI, Tableau etc. (Required)
• 2-4 years Experience with architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus (Preferred)
• Knowledge, Skills and Abilities:
• Communication Excellent presentation, communication, and organizational skills (Required)
• Agile Familiarity with Agile Methodology (Required)
• Problem Solving Strong analytical, critical-thinking skills with confirmed ability to analyze/synthesize data and generate insights. (Required)

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: $83,800 - $151,200

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, ;paradox=1

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 ;br>
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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.

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