Assistant Manager Data Science

6 days ago

Islamabad, Islamabad, Pakistan Zong CMPak Ltd Full time

Department & Function: Sales & Distribution

Position: Assistant Manager Data Science & Channel Insights

Location: Islamabad

Reporting to: Manager Channel Performance & BI Reporting

Job Type: Permanent

Job Purpose:

  • To leverage data science techniques to analyze sales & distribution performance, identify growth opportunities and optimize channel strategies

Job Responsibilities:

  • Analyze KPIs (Recharge, Usage, Revenue, Churn, Subscriber Base, etc.) and publish performance reports/dashboards (daily/weekly/monthly) for national and regional sales teams.
  • Automate reporting processes and develop interactive dashboards using Power BI, Excel, SQL, and Python for complete channel visibility.
  • Design and optimize data models, workflows, and pipelines; ensure accurate mapping of sales hierarchies (Franchise to RD level).
  • Lead UAT, business requirement documentation, and rollout support for digital products and dashboards, ensuring end-to-end delivery.
  • Liaise with DWH, IT & regional teams for data availability, report automation, and timely resolution of technical issues.
  • Develop geospatial capability to analyze channel overlaps, territory potential, and infiltration using mapping tools (QGIS, Shapely, etc.).
  • Assist in campaign performance evaluation and channel commission planning in coordination with Finance and Planning.
  • Upskill internal stakeholders on BI tools, data literacy, and reporting standards for continuous capability improvement.

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

Education:

  • In principle Bachelors Degree in Data Science, Computer Science, Business Analytics, Statistics, or related field.

Work Experience:

3 to 4 years of experience in Telecom, FMCG, Banking or Data science/analytics

Skills – Generic:

  • Stakeholder management & Communication

Skills – Job Specific:

  • SQL, Data Visualization (e.g. Power BI, Tableau, MSTR), Python; geospatial tools preferred
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