Data Analyst

Lippo Mall Head Office • DKI Jakarta

Pengalaman min. 5 tahun • S1

Posted 14 hours ago


Description

  • Lead and manage the Data Analytics & Insights team, ensuring delivery of accurate, timely, and impactful insights.
  • Implement GenAI-powered analytics workflows: use LLMs to accelerate reporting, automate narratives, and enhance decision-making.
  • Design and refine prompt engineering frameworks for business intelligence (e.g., translating natural language queries into SQL/insight pipelines).
  • Develop and maintain dashboards, reports, and data visualizations to support business reviews and executive decision-making.
  • Apply advanced analytics and statistical modeling to support strategies in customer acquisition, cross-sell, retention, and win-back programs.
  • Establish and maintain a knowledge library: analytics documentation, prompt templates, data dictionaries, and business process flow.
  • Drive a culture of self-service analytics: enable business users to query and interact with data/insights directly (with GenAI Agentic).
  • Ensure data governance, quality, and compliance in all analytics projects.
  • Deliver insight-driven strategies that go beyond reporting, focusing on tangible impact and customer value.

Requirement

  • Bachelor’s degree (or higher) in Informatics, Statistics, Mathematics, Computer Science, Data Science, or related field.
  • 5+ years proven experience in data analytics, BI, or business insights; with 1+ years managing analytics/insights teams.
  • Strong analytical and statistical ability to translate complex data into actionable insights.
  • Experience in GenAI analytics (e.g., using LLMs for data querying, automated insight generation, narrative analytics).
  • Working knowledge of prompt engineering and logic design for AI-driven insights.
  • Skilled in SQL and data visualization platforms (Power BI, Tableau, Looker, or equivalent).
  • Hands-on experience with data pipelines, ETL/ELT frameworks
  • Advanced spreadsheet and reporting skills (Excel, Google Sheets).
  • Familiarity with Python/R for data analysis.
  • Strong communication, presentation, and storytelling abilities — able to explain data-driven insights to non-technical stakeholders.
  • Strategic mindset: not just producing reports but influencing decisions.
  • Passion for problem solving, data exploration, and AI-driven innovation.

Tips Aman Cari Kerja

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