Job Description:
- Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
- Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
- Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
- Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
- Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
- Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
- Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
- Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
- Operational supports: Maintain and support day to day operational on data platform, including:
- Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
- Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.
Job Requirements:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- At least 5 years working experience in data platform, data analytics or relevant projects.
- Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
- Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
- Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
- Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
- Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
- Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
- Excellent problem-solving skills and the ability to work with large, complex data sets.
- Strong attention to detail, ensuring data accuracy and reliability in all analyses.
- Effective communication skills to convey complex technical concepts to non-technical stakeholders.
- Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
- Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.
Please send your detailed resume in MS Word format to : [Confidential Information]
Stating your notice period / earliest available commencement date, Current & expected salaries.
