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We are seeking a highly skilled Principal Data Analyst to join our team. The ideal candidate will have extensive expertise in analytics, relational data analysis, and automation techniques, combined with a strong business acumen. This role involves analyzing business challenges, identify root causes and present solutions. The Principal Data Analyst will demonstrate their knowledge of data analysis to interpret complex data sets, implement strategies to address business problems, and create technology-driven solutions. Additionally, they will communicate key findings and recommendations to stakeholders and management, ensuring that data-driven insights guide decision-making processes. They will also set deliverables based on established success criteria, define key metrics to measure progress, and quantify the business impact of solutions. Furthermore, the role involves mentoring and leading junior data analysts, promoting a culture of continuous learning and development. Through their work, the Principal Data Analyst will significantly contribute to optimizing business operations and advancing T-Mobile's strategic objectives.
Job Responsibility:
Supports the achievement of T-Mobile's strategic objectives through data-driven insights
Formulate technical problems by leveraging knowledge of data analytics and automation techniques
Interprets complex data sets to inform strategic business decisions
Transforms business requirements into data-driven solutions
Leads and mentors' junior data analysts, fostering a culture of continuous learning and development
Early involvement in enterprise projects to define business needs & incorporating those needs into the reporting design
Communicates key findings and recommendations to stakeholders and management
Contributes to the optimization of business operations through data analysis
Recommend and implement technology-focused solutions to resolve business problems
Set deliverables based on success criteria and define key metrics to measure progress and effectiveness
Identify and define data sources, ensuring it is fit for purpose
Also responsible for other duties/projects as assigned by business management as needed
Requirements:
Relational Databases: Strong knowledge of relational database, data modeling, systems design and integration
Data Analysis: Demonstrable ability to analyze data and communicate findings and recommendations to senior management
Strategy Implementation: Ability to apply data analysis to real-world business situations
Analytics Expertise: Extensive knowledge of analytics, relational data analytics, and automation techniques
Enterprise Software: Experience with Oracle ERP enterprise software
Project Management: Experience in project management
Software Development: Software (SDLC) development experience in Agile methodology
Telecom Industry experience
Certified Analytics Professional (CAP): Certification that demonstrates proficiency in data analytics and the ability to transform complex data into actionable insights
SnowPro Advanced: Data Analyst: Certification that validates the ability to work with big data environments and conduct advanced data analysis
Project Management: Experience in project management
Software Development: Software (SDLC) development experience in Agile methodology
Telecom Industry experience
Certified Analytics Professional (CAP): Certification that demonstrates proficiency in data analytics and the ability to transform complex data into actionable insights
SnowPro Advanced: Data Analyst: Certification that validates the ability to work with big data environments and conduct advanced data analysis
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