Head of Data and Insights

5 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia SEEK Full time
About Us

We pride ourselves on helping millions of people live more fulfilling and productive working lives, and helping organisations succeed. We operate an independent employment marketplace under various sub-brands across APAC, most notably Jora and Jobstreet Express.

Job Description

The Senior Data & Analytics Manager will collaborate closely with teams across product, design, engineering, marketing, operations, and commercial functions to drive data-driven decision-making.

Key Responsibilities:

  • Develop and implement the Data & Analytics strategy, driving valuable business outcomes and results
  • Lead a distributed team of ~8 direct reports across Australia & Malaysia, ensuring high performance and engagement
  • Oversee key data & analytics decisions for the Jora product experience, balancing customer insights with strategic priorities
  • Collaborate on OKRs setting and support the execution of relevant data & analytics work
  • Lead ongoing measurement, analysis, and recommendations relating to customer & business data
  • Ensure a robust understanding of jobseekers and employers needs to drive high-quality decision-making
  • Work closely with other Jora leaders to maintain a consistent, cohesive experience across the product domain
  • Advocate for consistent ways of working and advance data & analytics strategy across delivery streams
  • Hire and develop data engineers, analysts, and scientists as required across APAC

Qualifications

The Role & Key Responsibilities
Senior Data & Analytics Manager (commensurate with experience) is responsible for the strategy & execution of data & analytics across Jora – with a focus on;

Data Strategy/Vision & Practice Leadership

Setting an inspiring vision for how the digital analytics function will partner with, support & unblock the broader Jora team with data & insights
Leading the delivery of the data & analytics vision at Jora (design, planning, implementation and optimisation) through strong leadership of the data-engineering & data-science teams to design, plan and implement effective data-tracking, storage, pipelining, enrichment, and BI tools
Being a strong advocate for driving the best customer outcomes, with data-informed decision making within the business

Data Engineering

Taking a hands-on approach to leading our data-engineering team to establish, optimise and scale our data pipelines, ETL processes, data warehouse management, data models, reverse ETL services, ML Dev Ops.

Product Analytics

Taking a hands-on approach to leading our product analytics team to establish & strengthen a close partnership with business stakeholders, enabling seamless data informed/driven decision making with easy self-serve access to accurate and meaningful product data & insights, and also expert guidance & capability.

Data Science

Taking a hands-on approach to leading our data science team to raise awareness and adoption of ML supported product & services, and embedded experimentational frameworks with math & stats support to build confidence in results.

You will work closely with other functional leaders to design, plan, and execute quarterly OKRs – and proactively inspire and motivate your team, and the broader delivery teams

Essential skills and experience

  • Data & Analytics Expertise – 5+ years of experience across data engineering, product analytics, and data science, with strong SQL, Python/R skills, statistical analysis, and database optimization knowledge. Experience with tools like Redshift, GA4, Tableau, and Google Ads.
  • Leadership & Agile Mindset – 3+ years of team leadership experience, driving analytics practices, managing multiple priorities, and working effectively in agile environments with a test-and-learn approach.
  • Technical & Analytical Strength – Ability to handle large, complex datasets, conduct multi-variant experiments, derive statistically significant insights, and contribute to database discussions with engineers.
  • Effective Communication & Influence – Strong storytelling and stakeholder management skills, able to translate data into actionable insights, engage diverse teams, and drive business impact through influence.
  • B2C & Cloud Experience – Preferably experienced in B2C products and familiar with cloud-based data platforms like AWS and Databricks.

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