Data Intelligence Specialist

2 days ago

Singapore beBeeDataAnalyst Full time

The primary objective of this role is to conceptualize and execute business intelligence solutions that provide valuable insights into organizational operations.

Key Responsibilities:

  • Design and implement efficient data pipelines to extract, transform, and load data from various sources into a centralized data warehouse.
  • Ensure the integrity, quality, and accuracy of data in the pipeline.
  • Develop and maintain data models that offer actionable insights into organizational operations, ensuring scalability and performance.
  • Design, develop and maintain interactive dashboards and reports using BI tools such as Tableau and Power BI.
  • Monitor and optimize BI tools to ensure optimal performance levels.
  • Optimize database queries and performance to enable fast access to large datasets.
  • Automate recurring reports and analysis to minimize manual effort while ensuring timely delivery of insights.
  • Develop self-service BI solutions that empower end-users to access the data they need independently.
  • Implement and maintain processes for data governance, ensuring data security, compliance, and accuracy.
  • Perform regular data validation and quality checks to ensure the integrity of business reports.
  • Support upgrades, configuration, and troubleshooting for business intelligence tools.

Requirements:

  • Bachelor's or Master's degree in Information Systems, Computer Science, Software Engineering, Data Science, or a related field.
  • Proficiency in SQL and experience with database management (e.g., MySQL, SQL Server, Oracle).
  • Experience with BI tools (e.g., Power BI, Tableau).
  • Knowledge of ETL tools and data integration (e.g., Apache Nifi).
  • Familiarity with programming languages (e.g., Python, R) for data manipulation and analysis.
  • Good verbal communication skills.
  • Comfortable working in a team environment.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is an added advantage.

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