BI Lead @ Leading Client

Job Summary

We are seeking an experienced and dynamic Analytical Team Lead with expertise in Qlik SaaS, Power BI, Data Lake solutions, and AI/ML technologies. The successful candidate will lead a team of data analysts and engineers, driving business intelligence (BI) initiatives, building scalable analytics platforms, and leveraging advanced AI/ML models to uncover actionable insights. This role requires a strong balance of technical expertise, strategic thinking, and leadership skills to align data strategies with organizational goals.

Key Responsibilities

• Leadership and Team Management:
• Lead, mentor, and manage a team of data analysts, BI developers, and data engineers.
• Promote collaboration and knowledge sharing within the team to foster a high-performance culture.
• Ensure alignment of analytics objectives with business priorities.
• BI and Data Visualization:
• Design, implement, and manage scalable dashboards using Qlik SaaS and Power BI.
• Ensure data visualization best practices to deliver clear, actionable insights.
• Collaborate with stakeholders to define KPIs and build intuitive reporting solutions.
• Data Architecture and Integration:
• Oversee the design and optimization of Data Lake solutions for efficient data storage and retrieval.
• Ensure seamless integration of data pipelines across multiple systems and platforms.
• Partner with data engineering teams to maintain data quality, governance, and security.
• AI/ML Implementation:
• Drive the adoption of AI/ML technologies to build predictive models, automate processes, and enhance decision-making.
• Collaborate with data scientists to develop and deploy machine learning models within the analytics ecosystem.
• Agile Project Management:
• Lead analytics projects using agile methodologies, ensuring timely delivery and alignment with business goals.
• Act as a bridge between technical teams and business stakeholders, facilitating clear communication and expectation management.
• Stakeholder Engagement:
• Work closely with business leaders to identify analytics needs and opportunities.
• Provide thought leadership on data-driven strategies and innovation.