Data Lifecycle Management Specialist

4 days ago

Gandhinagar, Gujarat, India beBeeDataExpert Full time US$ 80,000 - US$ 1,00,000

Our organization seeks an expert in data analysis to lead our reporting and analytics efforts. The ideal candidate will possess a strong background in statistical analysis, business intelligence, and customer lifecycle management.

This role is based in Kuwait and involves analyzing data from various sources to prepare comprehensive reports and critical insights related to campaigns and customer activities.

We are looking for someone who can create dashboards, publish performance summaries, and measure campaign effectiveness using metrics such as customer acquisition, retention, engagement, and revenue growth.

The successful candidate will have at least 5+ years of experience in the telecommunications sector, with a strong focus on analytical reporting and dashboard creation.

A Bachelor's or MBA degree in Data Analytics, Statistics, Marketing, Business, or a related field is required. Proficiency in SQL, Excel, and big data queries is essential, with experience in tools like Tableau or Power BI being a plus.

We offer a competitive compensation package and opportunities for career growth in a dynamic environment.

If you are a motivated individual with a passion for data analysis and customer lifecycle management, please submit your application via the provided link.

  • Analyze data from various sources to prepare comprehensive reports and critical insight reports related to campaigns and customer lifecycle activities and performances.
  • Create reports requested by customers and teams using reporting tools, and conduct analyses of postpaid and prepaid customers.
  • Produce reports that directly impact the customer lifecycle, such as KPIs and ROI, to measure campaign effectiveness.
  • Build regular dashboards and publish performance summaries.
  • Measure campaign performance using metrics such as customer acquisition, retention, engagement, and revenue growth for both postpaid and prepaid segments.
  • Use data analytics to understand customer segments, behaviors, and preferences.
  • Provide recommendations to improve customer experience and develop campaign strategies.

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