Job Openings Head of Analytics

About the job Head of Analytics

Role Overview

The Head of Analytics is responsible for leading the organization’s client-facing analytics capability, with a focus on turning data into actionable, trusted insights that help our clients with decision-making. This role must think strategically, engage multiple stakeholders, and evolve our current function. The scope spans analytics, data integration, reporting, and advanced analytics, ensuring the organization can effectively help our clients leverage data from multiple platforms and systems. The role is analytics-led rather than broadly “data-led.” While data governance, security, and compliance strategies are owned by dedicated functions, the Head of Analytics is expected to be governance-aware and to ensure that analytics solutions appropriately consider privacy, security, and regulatory requirements.

 Key Responsibilities

Analytics Strategy & Leadership

  • Own the enterprise analytics vision and roadmap aligned to our clients’ business objectives.
  • Identify best practices and mentor a team of business intelligence analysts
  • Prioritize analytics initiatives and use cases across functions such as e-commerce, marketing, customer experience, operations, and finance.
  • Establish analytics standards, success measures, and operating models that support consistent, trusted insights.

Data Integration & Analytics Architect

  • Consult with clients to build the integration of data from a wide range of endpoints, including:
    • Social media and digital marketing platforms
    • E-commerce and transactional systems
    • Contact center and customer support (CX) platforms
    • Internal operational and business systems
  • Provide directions on the design and use of APIs, data pipelines, and data streams (batch and real-time).
  • Ensure analytics data is reliably ingested into modern data platforms such as Microsoft Fabric, Databricks, or equivalent data lake and warehouse solutions.

Analytics Development & Insight Delivery

  • Oversee analytics modeling, metrics definition, reporting frameworks, and dashboard standards.
  • Drive adoption of analytics by ensuring outputs are accurate, timely, well-documented, and aligned with business questions.
  • Evolve analytics capabilities from descriptive and diagnostic reporting toward predictive and decision-oriented insights where appropriate.

AI Enablement & Governance Awareness

  • Provide strategic direction on the responsible use of advanced analytics, ML, and GenAI capabilities to enhance insight generation, decision support, and analytics efficiency.
  • Ensure analytics and AI solutions are designed with appropriate consideration for data governance, security, privacy, and regulatory requirements, in partnership with Compliance and Technology teams.

Team, Capability & Vendor Management

  • Build and lead a multidisciplinary analytics function, potentially including analysts, analytics engineers, BI developers, and external partners.
  • Define required skill sets, roles, and career paths to scale analytics maturity.
  • Manage and evaluate third-party analytics, data, and AI vendors where applicable.


Stakeholder Engagement

  • Act as a trusted analytics partner to senior leadership and client-facing teams.
  • Translate complex analytics concepts into clear, actionable insights for non-technical stakeholders.
  • Promote a data-driven and insight-led culture across the organization.

Required Skills & Experience

  • 5+ years of experience in analytics, business intelligence, or data-driven roles, with demonstrated leadership responsibility.
  • Strong understanding of modern analytics architectures, data warehouses, and data lake platforms (e.g., Databricks, Microsoft Fabric, Azure, AWS).
  • Experience with data integration concepts, including APIs, ETL/ELT pipelines, and data streaming.
  • Proven ability to define metrics, analytics frameworks, and reporting standards across multiple systems.
  • Applied experience using advanced analytics techniques, including predictive modeling and NLP-driven analysis, to support business outcomes.
  • Working knowledge of GenAI-enabled analytics tools and cloud-based ML platforms, with the ability to assess value and applicability.
  • Strong stakeholder management and communication skills.

Nice to Have

  • Experience in e-commerce, omnichannel, or customer experience analytics environments.
  • Familiarity with modern BI tools such as Power BI, Tableau, or Looker.
  • Exposure to experimentation, measurement frameworks, or decision intelligence.
  • Experience leading analytics capabilities through vendor partnerships.
    
    What We Offer
  • Market-competitive salary.
  • Career growth opportunities
  • Learning & development programs
  • On-the-job training
  • Medical coverage (IPD)
  • Life insurance
  • Paid leaves (Annual, Casual, Sick, Marriage, Maternity, Paternity, Hajj, Bereavement)
  • Provident Fund
  • Employee Old Age Benefits (EOBI)
  • Employee engagement & wellness initiatives
    
    Location: NASTP Cantt, Lahore
    Shift: EST (Night)