Job Description

Kuala Lumpur, Federal Territory of Kuala Lumpur
Work Type: Full Time




LittleLives, a leading provider of innovative solutions for the education sector, is seeking an experienced Senior Data Product Owner to join our team. In this role, you will play a crucial part in driving data tracking initiatives and conducting in-depth analysis to derive valuable insights. As a Senior Data Product Owner , you will have a significant impact on optimising our data infrastructure and developing robust tracking patterns to support decision-making across the organisation. Your expertise in data analysis and pattern identification will contribute to strategic initiatives and the enhancement of our products and services.


Responsibilities:

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  Build data solutions for schools by reviewing and assessing existing business processes and systems, identify areas for improvement, and recommend data solutions to optimise efficiency and effectiveness in delivering educational services.
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  Develop and implement data tracking strategies to capture relevant metrics and events, ensuring the accuracy and consistency of data collection.
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  Collaborate with cross-functional teams to identify key performance indicators (KPIs) and define data tracking requirements based on business objectives.
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  Design and maintain data models, ensuring data integrity and providing clear documentation for data tracking patterns
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  Create and deliver reports and visualisations that effectively communicate analytical findings to stakeholders at various levels within the organisation.
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  Identify areas for data quality improvement and work with relevant teams to implement data cleansing and validation processes.
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  Collaborate with data engineers to optimise data collection, storage, and retrieval processes.
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  Stay up-to-date on industry best practices and emerging trends in data analysis, tracking methodologies, and data privacy to ensure compliance and drive innovation.

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  Proven experience as a Data Analyst or similar role, with a focus on data tracking and analysis.
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  Have customer facing experience and also be able to customise dashboards.
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  Perform data analysis to identify trends, patterns, and insights that inform business strategies and drive product improvements.
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  Strong proficiency in SQL and experience working with large-scale datasets.
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  Demonstrated expertise in designing and implementing data tracking strategies, including defining KPIs and establishing data collection patterns.
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  Proficiency in data analysis techniques and tools, such as data visualisation, statistical analysis, and predictive modelling.
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  Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
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  Strong attention to detail and commitment to data accuracy and quality.
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  Experience in working with cross-functional teams and effectively communicating analytical findings to non-technical stakeholders.