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Data Science Analyst

Data Science Analyst

Volaris Group, Inc.Kuala Lumpur, Malaysia
17 days ago
Job description

Responsibilities

Analysis & Insights

  • Apply statistical techniques and data mining methods to large datasets to uncover trends, patterns, and correlations.
  • Clean, transform, and validate data for analysis and reporting, ensuring accuracy,pleteness, and consistency.
  • Collaborate with stakeholders to define KPIs, business rules, and success metrics for various use cases (, churn, campaign performance).
  • Design and execute data validation and quality control checks across multiple pipelines.

Power BI & Visualization (Expert Level)

  • Build visually intuitive, interactive, and performance-optimized Power BI dashboards to support business and client needs.
  • Ensure visualizations are easily understood by non-technical users across markets and functions.
  • Leverage advanced features like DAX, row-level security, bookmarks, drill-through, and paginated reports to meet business needs.
  • Work closely with engineering and campaign teams to embed insights into real-time reporting solutions.

    • Documentation &munication

  • Prepare Business Requirement Documents (BRDs), Functional Specifications (FSDs), use cases, and process flow diagrams.
  • Translateplex requirements into technical tasks in collaboration with the development team.
  • Document analysis oues and present clear narratives for internal stakeholders and client partners.

    • Solutioning & Delivery

  • Support the full data science lifecycle : from defining the business problem, data collection, exploration, modeling, validation, and solution delivery.
  • Contribute to proof-of-concepts involving Generative AI, NLP, personalization, or best-next-action models (experience is a plus, not mandatory).
  • Engage in agile ceremonies and maintain documentation and collaboration via Jira and Confluence.

    • Skills & Qualifications

    Must-Have :

  • 4+ years of hands-on experience building advanced Power BI dashboards.
  • Strong proficiency in SQL and handling large relational datasets.
  • Demonstrated experience writing BRDs, FSDs, process flows, and structured documentation.
  • Strong analytical skills with knowledge of statistical techniques and data mining methods.
  • Ability to independently manage tasks while working cross-functionally with tech, campaign, and business teams.
  • Excellentmunication and problem-solving abilities with a proactive and team-oriented approach.

    • Preferred / Nice to Have :

  • Working knowledge of Python or R for analysis and modeling.
  • Familiarity with Azure, Databricks, and cloud-based data tools.
  • Experience in AI / ML applications such as NLP, personalization, time-series, or image recognition is a plus.
  • Exposure to automated testing tools (, Cucumber) and CI / CD integration for analytics solutions.

    • Worker Type : Regular

    Number of Openings Available :

    1 Job ID R48720

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    Data Analyst • Kuala Lumpur, Malaysia