Head of Data

Indonesia  |  Jakarta

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Responsibilities / Introduction

About your responsibilities:

    • Build and develop a data team consisting of data engineers, business intelligence analysts, and data analysts.
    • Manage individual performance and guide personal development in 1-on-1 meetings.
    • Oversee the day-to-day operational works of the data team. This includes prioritization, workload management, and project management.
    • Be the main point of contact with the senior management to align data team initiatives with the strategic company objectives.
    • Build and communicate policies to maintain the quality of data deliverables and to keep an optimal workflow of the team.
    • Coordinate with data engineers to design a scalable data infrastructure to process high volumes of raw data into actionable business insights.
    • Maintain high-quality standards of data analysis reports to support critical business decisions.
    • Manage data quality and data definitions to guarantee trustworthy data reports for business stakeholders.
    • Explore and assess new data science tools to continuously improve the existing data workflow.
    • Be always on the lookout for new opportunities to leverage data to deliver business impacts.

Requirement

 

About You:

    • Advanced degree in quantitative or scientific disciplines.
    • Min 5 years experience working in analytical or data science fields.
    • Min 3 years experience as a people manager.
    • Excellent communication skills with the ability to convey complex concepts to non-technical persons.
    • Exceptional problem-solving skills, capable of clarifying ambiguous business problems and coming up with effective strategies to break them down and address them.
    • Strong leadership, willing to work in a collaborative environment while supporting and empowering the team member.
    • Having a growth mindset with strong willpower to overcome any challenges.
    • Strong understanding of the best practice to build a robust and effective end-to-end data science pipeline.
    • Experience in managing medium to large-scale projects with multiple stakeholders.
    • Previous experience working in e-commerce industries is a plus.
    • Knowledge in project management frameworks such as Scrum or Kanban is a plus.

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