Data Analyst | (Snowflake/Databricks) | KL
Salary undisclosed
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Overview of the Position:
The ideal candidate will possess strong analytical skills, proficiency in data manipulation, and a keen ability to translate complex datasets into actionable insights. As a Data Analyst, you will be responsible for analyzing data trends, creating reports, and supporting decision-making processes to drive business success.
Job Responsibilities:
WhatsApp/Telegram: 011-11968783
Email: [email protected]
The ideal candidate will possess strong analytical skills, proficiency in data manipulation, and a keen ability to translate complex datasets into actionable insights. As a Data Analyst, you will be responsible for analyzing data trends, creating reports, and supporting decision-making processes to drive business success.
Job Responsibilities:
- Data Analysis: Analyze large datasets to derive valuable insights that drive business strategies.
- Statistical Modelling: Build and apply statistical models for forecasting, segmentation, and customer behavior analysis.
- Machine Learning: Develop and deploy machine learning models for predictive analytics and recommendations.
- Data Visualization: Create informative and engaging data visualizations to communicate insights effectively.
- Data Reporting: Generate regular reports and dashboards to track key performance indicators.
- Collaboration: Work closely with cross-functional teams to understand business objectives and provide data-driven solutions. Data Quality Assurance: Ensure data quality and accuracy through thorough validation and cleansing processes.
- Min 2 years of direct experience.
- Proficiency in programming languages such as Python, R, or SQL, Databricks and Snowflake. Strong understanding of database management, data modelling and data warehousing.
- Strong knowledge of statistical analysis and predictive modelling techniques.
- Experience in developing and deploying machine learning models in a production environment.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Strong experience with machine learning frameworks and data analysis tools. Experience with big data technologies (e.g., Hadoop, Spark,) is a plus.
WhatsApp/Telegram: 011-11968783
Email: [email protected]
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