Data Strategist

3 days ago

Islamabad, Islamabad, Pakistan beBeeAnalytics Full time
Analytics Expert Job Description">

This role sits at the intersection of advanced technical data science and strategic business enablement. The Analytics Expert - B2B Analytics & Insights is a uniquely hybrid position that requires both deep technical acumen and corporate fluency.

The ideal candidate can code like an engineer, think like a strategist, and communicate like a business partner. This role offers unmatched visibility, influence, and ownership across Jazz Business's transformation journey.

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  • Key Responsibilities:
  • Design and deploy analytical models to unlock new opportunities in customer targeting, churn prevention, and revenue optimisation.
  • Build dashboards, performance frameworks, and deep-dive analyses that support leadership decisions across Jazz Business.
  • Write stored procedures, design data marts, support data validation processes, and work with engineering teams to streamline pipelines and improve data quality.
  • Serve as the analytics partner to internal clients across multiple domains, translating business challenges into analytical roadmaps.
  • Support Contribute to high-impact projects, including performance visibility revamps, base segmentation, whitespace analysis, and automation of reporting systems.
  • Mentor interns and junior analysts, contribute to a collaborative team culture, and act as a technical advisor on business-aligned analytics.
Requirements
  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Business Analytics, or a related field.
  • 3+ years of experience in analytics, data science, or business intelligence roles.
  • Prior experience working in a telecom, B2B SaaS, or enterprise services environment is a plus.
Technical Skills
  • Expert-level SQL (writing procedures, optimizing joins, validating marts).
  • Working knowledge of Python or R for data modeling.
  • Hands-on experience with Tableau or Power BI for dashboarding.
  • Hands-on experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Comfort with deep learning libraries and frameworks.
  • Experience supporting or collaborating with data engineering teams (ETL, pipelines, API integration of models into production environments, basic MLOps).
  • Exposure to prompt engineering and generative AI tools (e.g., GPT, HuggingFace) for internal automation and data mining.
Benefits

Jazz epitomizes the philosophy that each employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.

Our core values include qualities essential for a positive organizational culture - truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer-obsession.

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