Minimum Diploma / Degree in Computer Science, Data Science, Computer Engineering, or equivalent.
With at least 2 years of relevant working experience, preferably in software/application development or related field.
Required skills: MS SQL (querying), SSIS, Tableau or Power BI, Python.
Job Responsibilities:
Work with large datasets to conduct in-depth analysis of operational and performance data using SQL, Python (Pandas, NumPy), and Excel to generate actionable insights.
Collaborate with various departments to understand business requirements and translate them into data solutions. Identify, extract, and analyze relevant data from databases to meet specific operational and strategic needs.
Centralize and integrate data from multiple diverse sources into the data hub, ensuring data consistency, accuracy, and reliability.
Design, develop, and maintain ETL (Extract, Transform, Load) processes using Python and SQL, streamlining data workflows and automating repetitive tasks to improve efficiency and reduce manual intervention.
Develop, enhance, and maintain dashboards using BI tools (e.g., Power BI / Tableau). Optimize performance and improve data visualization to enhance accessibility and comprehension of insights for stakeholders.
Build and manage SQL tables, views, and stored procedures to support reporting and analytics requirements. Handle ad-hoc data extraction, transformation, and reporting requests in a timely manner.
Perform data validation, cleansing, and quality checks using Python to ensure high data integrity and accuracy across reporting systems.
Continuously improve data processes by implementing automation scripts, improving query performance, and recommending data architecture enhancements.
