Data Analytics Leader

3 days ago


Jakarta, Jakarta, Indonesia ilmuOne Data Full time

Role Overview

The Head of Advisory position at ilmuOne Data is a leadership role that requires strategic vision and execution. The ideal candidate will have experience in data analytics, business intelligence, or consulting with a proven track record in delivering complex analytics projects.

Key Responsibilities

  • Define and execute the strategic vision for the data analytics function, ensuring alignment with overall business objectives.
  • Serve as a trusted advisor to the executive team and clients, providing actionable insights and recommendations based on data analytics.
  • Lead and manage a team of data analytics professionals, fostering skill development and ensuring high-quality deliverables.
  • Build a culture of collaboration, innovation, and continuous learning within the analytics team.
  • Act as a subject matter expert for clients and internal teams, guiding decision-making processes with data-driven strategies.
  • Translate business problems into structured analytics solutions and oversee their execution.
  • Oversee the design, development, and implementation of advanced analytics projects, ensuring they are delivered on time and within scope.
  • Ensure that analytics projects provide measurable value and insights to the organization or clients.
  • Collaborate with internal stakeholders and external clients to understand their analytics needs and provide customized solutions.
  • Present complex analytics findings to non-technical stakeholders in a clear and impactful way.
  • Develop and enforce data governance frameworks and ensure compliance with regulatory and security standards.
  • Collaborate with IT and data engineering teams to ensure data integrity and reliability.
  • Keep up to date with the latest trends, technologies, and best practices in data analytics.
  • Drive innovation in analytics methods, tools, and processes to enhance organizational capabilities.
  • Establish and monitor KPIs to measure the effectiveness and impact of analytics initiatives.
  • Continuously refine and optimize analytics processes to ensure efficiency and scalability.

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