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    • Mastery of SQL and data analysis.
    • You will be responsible for managing the company’s user acquisition and retention funnels.
    • Love for BI and dashboards.
    • Knowledge of data analytics software such as Tableau, Quik Sense & etc.
    • Provide analysis and identify areas for performance improvement via data modelling, data…
    • Develop and maintain data pipelines to ingest data from source to data warehouse before transforming it for downstream analytics or reporting purposes.
    • Analyze data and transform data.
    • Deep dive security alert data and apply AIML model.
    • University Degree in relevant discipline.
    • Working knowledge of SQL for data extraction and manipulation.
    • Proficient in data visualization tools such as Power BI and/or Tableau.
    • Collaborate with data engineers, businesses, and operation teams to provide statistics or business data that can help to drive business insights.
    • Analyse results of A/B tests and data collected from experiments.
    • Work with engineers to ensure that data collection has been correctly implemented.
    • Build and maintain analytics data models and data Mart supporting reporting, dashboards, and downstream consumers.
    • At least 1-5 years of experience in data analytics or a related field.
    • Identify and resolve any data quality issues or data gaps that might hinder analysis.
    • Assist in organizing and managing data repositories, documenting data sources, methodologies, and findings, and ensuring data security and privacy.
    • Where it leads: as you build experience on client projects, the path opens up into more senior technical roles across data engineering, cloud data platforms,…
    • Foundational understanding of data analysis and statistics.
    • Extract and consolidate metrology data from relevant systems.
    • Good understanding of analytics and data warehouse implementations.
    • Strong SQL and data modelling and data analysis skills.
  • View similar jobs with this employer
    • Partner with data engineers, product analysts, GTM data teams, and other stakeholders to align data insights with product improvements.
    • Defining and automating qualitative data alerts and reports.
    • Partnering closely with investment teams to ensure their data requirements are met.

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