Senior Executive BI

7 days ago

Islamabad, Islamabad, Pakistan Zong CMPak Ltd Full time 900,000 - 1,200,000 per year

Job Purpose:

Leading data analytics by executing Business Intelligence and Advanced Analytics strategies to deliver management reporting and insights. Using predictive and descriptive models to improve customer experience, revenue, and ad targeting. Conducting campaign and subscriber behavior analysis, ensuring data quality and accurate KPI tracking. Designing efficient data analysis processes and applying data mining, modeling, and machine learning to solve business challenges.

Job Responsibilities:

  • Responsible to deliver valuable insight to Business users by identifying hidden patterns, predicting subscriber activity, or developing affinities within our customer base.
  • Responsible for generating insights & establishing what needs to be done through these data insights
  • Responsible for conducting Pre post analysis of campaign/product launch on subscriber base, offers subscriptions, usage behavior & various network initiatives taken over a period of time
  • Perform competition analysis and deliver all KPI reports for better visibility.

Eligibility Criteria (Education, Knowledge, Experience and Skills):

Education:

  • Must have bachelor's degree/ Equivalent, preferably in CS/IT/AI, Accounting and Finance, BBA, or engineering.

Work Experience:

  • Should have preferably 2-3 years of relevant experience.

Skills – Generic:

  • Strong Analytical and problem-solving skills with a background in analytics/segments/pricing/Product Development
  • Strong communication skills

Skills – Job Specific:

  • Strong Analytical and problem-solving skills with a background in analytics/segments/pricing
  • Strong communication skills along with the ability to get things done
  • Basic experience with Analytics BI tools such as Tableau, Power BI, Qlik etc. is a major plus
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge of machine learning and advanced statistical techniques (clustering, regression, classification, association rule mining, deep & reinforcement learning, statistical tests, properties of distributions) and experience with applications.

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