Responsibilities:

• Take ownership of data-related tasks and ensure accountability for delivering accurate and timely results.
• Assist in data collection, cleansing, and organization to ensure data integrity and precision.
• Collaborate with People Insight Manager and business users to analyze data and identify meaningful insights.
• Develop and maintain data pipelines to streamline data analysis processes.
• Create and maintain automated data reports and dashboards for various stakeholders (Power BI).
• Perform data management by using data warehouse such as Microsoft SQL server or Oracle data warehouse.
• Utilize Python and SQL script to extract, manipulate, and analyze data from multiple sources.
• Proficiently use Excel Script, VBA, or Excel to perform data manipulations and automate processes.
• Create automation data integration flow (Power Automated or other tools)
• Pay meticulous attention to detail to identify and rectify discrepancies in data.
• Employ logical thinking and problem-solving skills to identify patterns, trends, and anomalies in data.
• Demonstrate a never-give-up attitude when tackling complex data challenges.
• Conduct independent research using online resources to enhance understanding of data-related topics. (Must be able to google)
• Proactively seek opportunities to expand knowledge and skillset in data analysis and relevant tools.
• Work on ad-hoc data projects as required.

Requirements (Mandatory):

• Bachelor’s degree in IT, computer science, data science, Statistics, Mathematics, or a related field.
• Proficiency coding in Python and SQL for data analysis and manipulation.
• Strong understanding of SQL script and database concepts.
• Excellent logical thinking and problem-solving abilities.
• Self-motivated and able to work independently with minimal supervision.
• Demonstrates accountability and perseverance in completing tasks and achieving goals.
• Fast learner with the ability to quickly adapt to new data technologies and tools.
• Strong attention to detail and a commitment to delivering accurate results.
• Strong communication skills, both written and verbal.
• Eagerness to learn and a proactive approach to self-learning.
• Familiarity with data visualization tools (Power BI).

Preferable:

• Familiarity with various type of data. Able to conduct complex patterns to assess the quality and cleansing data.
• Proficiency in writing complex scripts such as Transact-SQL (Store Procure/Functions)
• Proficient in any Data warehouse tools such as Microsoft SQL Server, SQL Database, Synapse, Oracle Datawarehouse, S3 or any other.
• Proficient in any data pipeline tools such as Azure data factory, Airflow, SSIS, Oracle data integration or any other.
• Proficiency in writing complex scripts in Python using Anaconda.
• Proficiency in Excel Script, VBA, or Excel for data manipulation and automation.
• Experience with Cloud Platforms (Oracle, Azure, AWS, or Google) is preferable.
• Previous experience in data analysis or related internships is advantageous.
• Other related such as HTML, CSS, Node.js, JavaScript is also advantage.