Senior Business Intelligence Leader

16 hours ago

Karachi, Sindh, Pakistan beBeeData Full time $80,000 - $140,000
Transforming Data Insights into Strategic Decisions

We are seeking a Senior Data Analyst to lead the transformation of complex data into actionable insights that guide strategic decisions across the business.

About the Role

This role combines analytical expertise, business awareness, and team leadership to drive data-informed outcomes. Our ideal candidate will work with product, marketing, engineering, and operations teams to bring structure to unstructured problems, design impactful reporting systems, and empower teams through data.

Key Responsibilities & Competencies
  • Lead and mentor junior and mid-level data analysts while fostering a culture of learning, quality, and ownership.
  • Translate business needs into structured analysis and deliver clear, business-ready insights.
  • Respond to ad hoc data requests from stakeholders and leadership, providing fast and reliable insights.
  • Work hands-on with SQL and Python or R to explore data, build models, and automate reporting.
  • Create dashboards using Power BI and Tableau, applying DAX, Power Query, and Tableau Calculations to visualize trends and support decision-making.
  • Collaborate with cross-functional teams to align KPIs and promote data-driven action.
  • Define and maintain documentation and data standards to ensure reporting consistency.
  • Build scalable data models and reporting frameworks that support growth and self-service analytics.
  • Support experimentation, A/B testing, and hypothesis validation.
  • Represent the data team in leadership planning and cross-department strategy sessions.
Qualifications And Skills
  • 5 or more years of experience in data analytics, business intelligence, or a related field.
  • Experience mentoring or leading other analysts or BI professionals.
  • Proficiency in SQL for complex querying and data manipulation.
  • Hands-on experience with Power BI (DAX and Power Query) and Tableau (Calculated Fields and LOD Expressions).
  • Working knowledge of Python or R for advanced analysis and automation.
  • Strong communication and storytelling skills to present insights to technical and non-technical audiences.
  • Experience working in product, retail, or data-driven environments.
  • Strong sense of ownership, prioritization, and delivery in fast-paced settings.
Good to Have
  • Exposure to machine learning techniques such as clustering, forecasting, or recommendations.
  • Familiarity with tools such as scikit-learn, TensorFlow, or Azure ML.
  • Understanding of AI-driven personalization, uplift modeling, or experimentation frameworks.
  • Experience working with modern cloud-based data environments like Snowflake, BigQuery, or dbt.
Expected Outcomes
  • Deliver insights that shape customer strategy, product development, and business growth.
  • Lead the development of dashboards and reporting systems that provide reliable and timely visibility.
  • Empower a high-performing analytics team through clear guidance and shared learning.
  • Increase business agility through the rapid and accurate delivery of ad hoc analysis.
  • Champion data quality and storytelling that influences decisions at every level.

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