Data Analytics Leader

3 days ago

Singapur, Singapore TECH IN ASIA PTE. LTD. Full time
Lead Data Analyst

At Tech in Asia PTE. LTD., we are seeking a highly skilled and experienced Lead Data Analyst to join our team. As a key member of our data analytics team, you will play a crucial role in driving our data democratization and governance efforts, ensuring that data is accessible, understandable, well-organized, and utilized effectively across the organization.

Key Responsibilities:
  • Lead and mentor a team of data analysts, fostering a culture of collaboration, innovation, and continuous learning.
  • Collaborate with various departments to understand their data needs and ensure alignment with organizational goals.
  • Develop and implement strategies for data democratization, making data accessible and actionable for stakeholders across the organization.
  • Oversee data governance processes to maintain data quality, integrity, and compliance with regulations and lead development of datamart.
  • Build strong relationships with internal stakeholders and act as a trusted advisor on data-related matters.
  • Drive the development of data reports, visualizations, and analysis to provide valuable insights into Asia's tech scene.
  • Identify gaps and issues in data collection processes and propose long-term solutions to enhance data integrity and efficiency.
  • Work closely with product managers, engineers, and other stakeholders to conceptualize, create, and implement new data products and services.
  • Stay updated with emerging trends and best practices in data analytics and leverage them to drive innovation and improvement.
Requirements:
  • Minimum 5-7 years of experience in data analytics, with at least 2 years in a leadership or mentorship role.
  • Extensive knowledge and experience with databases (e.g., PostgreSQL, MySQL, Redshift, Presto), BI tools (e.g., Tableau), and ETL frameworks.
  • Proficiency in statistics and experience using statistical packages for analyzing datasets (e.g., Python, R, Excel, SPSS, SAS).
  • Ability to communicate complex ideas and insights effectively to business stakeholders, demonstrating clarity and impact.
  • Strong problem-solving skills and the ability to work independently to develop innovative solutions.
  • Experience in collaborating with business users to understand their needs and develop data solutions using a systematic methodology.
  • Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
Good to Have:
  • Experience with deployment of production-grade analytics pipelines.
  • Proficiency in building web applications, microservices, and cloud services (e.g., AWS).
  • Familiarity with Generative AI, NLP, graph theory, and machine learning algorithms.

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