Strategic Data Analytics Solutions Development within Commercial Strategy & Inspirational Analytics
Do you love solving business problems and challenges using data to help drive business strategy? Do you have the passion for exploring & analyzing data with the power of data science /machine learning/big data to help make strategic business decisions? Are you curious in discovering new meaningful insights from the data to answer challenging business questions? Are you interested in learning new technologies and trends in Big Data/AI/machine learning/data analytics and bringing them to win the hearts of the T-Mobile customers? If yes, then this is the opportunity for you to join a team of top-notch business analysts, machine learning engineers, data scientists and data engineers.
You will be utilizing your expertise in big data analytics, data science and statistical methods to solve interesting business problems. The team you will be a part of developing and implementing innovative data analytics products and services to drive quality business decisions. You will have the opportunity to learn emerging trends in data & analytics techniques/technologies to come up with innovative ideas to meet rapidly evolving business needs.
The position requires ongoing interactions with business stakeholders to understand and stay focused on business goals while developing meaningful data and analytics solutions in a collaborative and iterative manner. It will facilitate gaining a deeper understanding of business problems and data and becoming a subject matter expert in different business domain areas, in addition to your technical expertise area. You will solve complex and interesting business problems in a challenging and inspiring environment.
At T-Mobile, we love our customers. We are one team, dreaming big and delivering. You will be part of the Commercial Strategy and Inspirational Analytics team in Marketing, that drives data analytics driven strategic decisions to win the hearts of our customers.
What you'll do in your role.
Work collaboratively with team of business analysts/strategists, data engineers, machine learning engineers and data scientists to come up with innovative and effective data analytics solutions for determining business strategy.
Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
Explore, understand, define, and analyze data to come up with meaningful insights to help improve business decisions.
Perform innovative data mining and statistical analyses on ad hoc business problems.
Communicate important information and insights from complex data from multiple sources to business leaders using verbal, written, and data visualization skills including insightful influential data storytelling.
Developing analytics-based solutions / visualizations to help inform business decisions including dashboards such as Tableau, PowerBI, R/Python Shiny etc.
Utilize programming languages like Python or R including Apache Spark framework.
Querying and accessing data that resides on multiple relational/non-relational databases including but not limited to PostgreSQL, Microsoft SQL server or Teradata, cloud (Azure/GCP) based data warehouse/database etc.
Develop and design new predictive indicators (metrics and KPIs) that can be used to shape strategic quality business decisions.
A flexible, self-starter, and comfortable working in a rapidly changing environment.
Able to see and understand the end-to-end business process while respectfully contributing to help drive transformational changes.
Love to develop, communicate, share new/best practices, and adopt the best available when obvious gains will result.
Curious and maintain wide peripheral -vision- always looking for fundamental solutions yet solved, better ways, low hanging fruit and new opportunities.
Driven to have your work be meaningful, actionable, and utilized by the larger organization linked to the Corporate Strategy.
Confident in interacting with and influencing senior leaders.
Able to understand data analytics process workflows; organize and prioritize tasks; coordinate with developers/engineers/analysts, leadership team and stakeholders for implementation; follow the project plan, development architecture and deliver the project in a timely manner.
Able to translate abstract and partially defined business requirements into meaningful data analytics solutions (data products and services) that would help provide insights for quality business decisions.
The experience you'll bring.
Bachelor's degree in Computer Science, Operations Research, Statistics, Informatics, Business Analytics or another quantitative field or equivalent; Masters degree preferred
1 - 3 years of experience in a data analytics / data science/machine learning field.
1 - 3 years of experience working with various types of complex datasets including third party data.
1 - 3 years of experience working with common relational and/or non-relational databases and common web data and social data sources.
1 - 3 years of experience developing statistics-based analytics solutions.
1 year of experience performing data mining and statistical analyses on ad hoc business problems to help make business decisions.
2 years of experience in at least one major language such as Python or R with proven experience in developing data analytics solutions.
2 years of experience with multiple successful projects using any RDBMS (database/data warehouse) such as PostgreSQL, Oracle, MY-SQL, MS-SQL Server, Teradata, Azure Data Warehouse or AWS Redshift or Snowflake etc.
Preferred:
1 year of experience in AZURE cloud with working knowledge in Databricks, Azure Data Factory and BLOB storage.
1 year of experience in performing business analysis that includes reporting or deriving insights valuable for the business decisions.
1 year of experience to communicate important information and insights to business leaders using verbal, written, and data visualization skills.
Familiar with processing and analyzing paid media data like advertisements on TV & social media data and customer journey analysis.
1 years of experience in data visualization tools like R-Studio based shiny, D3 and Node.js etc.
Hands on experience in applying A/B testing, time-series analysis, and machine learning algorithms like Linear/Non-Linear regression, Logistic Regression, K-Means Clustering, XGBoost and Random Forests etc. and Deep Learning/Reinforcement Learning.
Familiarity with general cloud technologies (AWS or Microsoft Azure or Google cloud)
At least 18 years of age.
Legally authorized to work in the United States.
High School Diploma or GED.
T-Mobile requires all employees in this position to be fully vaccinated for COVID-19 prior to starting work, unless precluded from doing so by applicable law. The CDC currently defines -fully vaccinated- as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. T-Mobile will require proof of vaccination prior to successful applicant's first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause T-Mobile undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.
Position details
Req ID: 192858BR
Department: Marketing
Travel Required: No
