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Job Description
Structured overview of role & requirementsAbout This Role
Analyze customer behavior across multiple acquisition channels to identify trends, gaps, and opportunities for improvement.
Develop and automate KPI dashboards including churn, LTV, activation rate, and ARPU to support decision making.
Collaborate with cross-functional teams and data engineering to deliver insights, ensure data accuracy, and improve data pipelines.
Minimum Requirements
3–8 years of experience in data analytics or business intelligence role, telecom or digital business preferred.
Strong hands-on expertise in SQL, Excel, and at least one BI tool (Tableau, Power BI, or Looker).
Experience with churn analysis, LTV, acquisition funnel metrics, and solid understanding of statistical analysis and data modelling.
Experience with Analytics tools like DOMO and Data Studio.
Ideal Candidate Profile
Experienced in telecom analytics or customer lifecycle management with a track record of driving actionable insights.
Comfortable working with cross-functional stakeholders in a fast-paced environment to influence strategy and outcomes.
Familiarity with data analysis programming languages such as Python or R and effective in presenting data-driven findings.