This role involves collaborating closely with Marketing, Commercial, and Technical teams to identify challenges and develop data-driven strategies that support effective decision-making. The position requires leveraging advanced analytical techniques to provide actionable insights that enhance business outcomes and improve network and customer experience.
Key Responsibilities
- Collaborate with cross-functional teams to address routine and complex analytical problems, applying advanced methods as necessary.
- Conduct comprehensive analyses including data gathering, requirement specification, processing, and delivery of ongoing reports.
- Present business recommendations related to revenue, forecasting, and experience analysis to stakeholders at various organizational levels using clear visualizations of quantitative data.
- Research and develop technical methodologies for analysis, forecasting, and optimization aimed at enhancing network performance and customer satisfaction.
- Maintain and update data science models in alignment with evolving business needs.
- Design and maintain dashboards and visualization tools using Power BI, Tableau, and other platforms to effectively communicate data insights.
Required Qualifications
- Bachelor’s degree in Business Analytics, Statistics, Engineering, Computer Science, or a related field.
- Strong analytical and presentation skills with proficiency in Microsoft Office Suite.
- Solid understanding of data science principles, machine learning techniques, and database management.
- Experience with big data technologies such as Hadoop and expertise in data visualization tools including Power BI and Tableau.
- Familiarity with telecom key performance indicators (KPIs) and tools like Huawei SmartCare.
- Knowledge of programming languages such as C++, SQL, and Python is highly desirable.
Preferred Qualifications and Experience
- A minimum of 4 to 5 years of relevant professional experience in data analysis, data science, or a related domain.
This position offers the opportunity to work in a dynamic environment where data-driven decision-making plays a critical role in business success. Candidates with a strong technical background and the ability to translate complex data into actionable business insights will find this role rewarding.