Data Analyst | Must have Databricks & Snowflake Experience

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:

• 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.

Job Requirements:

• 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.