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Head of Data & Analytics

Job in Jakarta Selatan, Jakarta, Indonesia
Listing for: PT Hubexo Asia Indonesia
Full Time position
Listed on 2026-08-29
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Analyst, Data Science Manager, Data Engineering
Job Description & How to Apply Below
Location: Jakarta Selatan

About Us

Hubexo provides cutting-edge data, insights, and software solutions to the global construction industry. Founded in Sweden in 1936, Hubexo specializes in project information, eTendering, product information, market intelligence, and specification solutions. With operations in more than 20 countries and a workforce of 2,500 employees, Hubexo helps customers sell more efficiently, build sustainably, and lead the future of construction innovation.

The Opportunity

We're looking for an experienced Head of Data & Analytics to lead the next generation of enterprise analytics at Hubexo.

This is a rare opportunity to build and lead our modern analytics capability while helping transform data from more than 18 acquired businesses into a trusted source of insight. You'll own the analytics product strategy built on our Databricks Lakehouse platform, partnering closely with Enterprise Architecture, Finance, Commercial, and Operations leaders to deliver high-value dashboards, semantic models, AI use cases, and self-service analytics that drive business decisions globally.

Leading a highly skilled team of Analytics Engineers and BI Developers, you'll balance strategic leadership with hands-on technical expertise, establishing engineering best practices while shaping the future direction of analytics across the organization.

If you're passionate about modern data platforms, analytics engineering, and leading transformation at scale, we'd love to hear from you.

Key Responsibilities

Lead the Enterprise Analytics Strategy

Define and own the roadmap for enterprise analytics products built on Databricks.

Deliver trusted dashboards, semantic models, embedded analytics, and future AI-driven insights.

Establish source of truth for enterprise reporting through certified metrics and governance.

Partner with Finance, Commercial, Operations, and Technology leaders to translate business priorities into scalable analytics solutions.

Build & Lead a High-Performing Analytics Team

Lead, mentor, and grow a team of Analytics Engineers and BI Developers.

Foster a collaborative engineering culture through coaching, code reviews, and technical leadership.

Drive capability growth and future team expansion as the analytics platform evolves.

Promote ownership, accountability, and continuous improvement across the team.

Partner with Enterprise Architecture on Databricks Lakehouse design, governance, and data architecture.

Establish engineering standards including dbt development, version control, CI/CD pipelines, testing, and documentation.

Collaborate with Integration Platform teams to ensure reliable and scalable data ingestion from enterprise systems.

Own the analytics workstream supporting the migration from multiple legacy BI platforms.

Prioritize business-critical reporting while ensuring seamless transition to the new analytics ecosystem.

Manage external implementation partners and ensure successful delivery throughout the transformation program.

Strengthen Data Governance & Adoption

Establish governance for certified datasets, semantic models, and enterprise reporting standards.

Champion data literacy and self-service analytics across business functions.

Monitor adoption through analytics KPIs, usage metrics, and business value realization.

Partner with Governance, Risk & Compliance teams to ensure regulatory and privacy compliance, including GDPR.

Partner with Executive Stakeholders

Serve as the trusted analytics advisor to senior leaders including Finance, Commercial, and Operations executives.

Represent Data & Analytics within the Technology Leadership Team.

Build strong partnerships with strategic vendors and technology partners supporting the analytics platform.

Skills and Qualifications Essential Qualifications

Proven experience leading Data & Analytics teams within large, multi-country or multi-entity organizations.

Strong background delivering enterprise analytics during digital transformation, platform modernization, or M&A integration.

Hands-on expertise with Databricks or modern cloud data platforms such as Snowflake or Google Big Query.

Deep knowledge of dbt and modern Business Intelligence platforms including Power BI, Tableau, or…

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