Data Scientist - B2B Product Governance & Economics
What will you do?
- Analyzing data related to the usage of B2B products by customers to identify trends and patterns.
- Developing reports and presentations on analysis results and recommendations for the product management team.
- Verifying data consistency from various sources through integration and comparison of results.
- Building predictive models to forecast customer behaviors and analyze potential risks and opportunities for sales boosting.
- Collaborating with the product teams to identify new areas of data analysis and product optimization.
- Creating interactive dashboards in data visualization tools such as Tableau or Power BI to facilitate understanding of analysis results.
Key Responsibilities:
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Logical Thinking: You will be responsible for analyzing complex data sets and deriving practical insights. Your ability to think logically and critically will be crucial in solving business challenges.
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Attention to Detail: Your role will involve meticulous data manipulation tasks, including data uploading, validation, and alignment with control records. Attention to detail is essential to ensure data accuracy and integrity.
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SQL Proficiency: A minimum intermediate-level proficiency in SQL is required for this role. You will be expected to write complex queries to efficiently extract and manipulate data from databases.
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Tableau/Power BI (Nice to Have): While not mandatory, familiarity with data visualization tools such as Tableau or Power BI would be advantageous. However, we believe that motivated individuals can quickly learn these tools on the job.
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Python: Experience with Python, particularly in building and deploying data models, is highly desirable. Your proficiency in Python will enable you to develop and deploy advanced analytical solutions.
Qualifications:
- Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, Finance or related disciplines.
- Proven experience in data analysis, preferably in a B2B environment.
- Proficiency in SQL with the ability to write complex queries.
- Familiarity with data visualization tools such as Tableau or Power BI is advantageous.
- Experience with Python, especially in the context of data modeling, is preferred.
Why Join Us:
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Challenging Projects: You will have the opportunity to work on diverse and ambitious projects that directly impact our B2B product portfolio.
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Professional Growth: We are committed to supporting your professional development through continuous training and mentoring opportunities.
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Collaborative Culture: Join a dynamic team of professionals who are passionate about data-driven decision-making and innovation.
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Competitive Benefits: Enjoy a competitive compensation package, comprehensive health benefits, and other perks.
If you are detail-oriented with a passion for data and analysis, we would like to get to know you! Join us to shape the future of our B2B products through data analysis and innovation.
- CV review
- Interview with a direct manager
- Technical Interview + Test
- Welcome to T-Mobile!