As a Data Analyst, your role is essential in shaping our data architecture and ensuring the efficiency of our data processes. Key responsibilities include:

• Utilize expertise in Pyspark, Python, Hadoop, Impala, Hive, and preferably Scala Spark and Databricks.
• Apply knowledge of Snowflake for data warehousing.
• Analyze reporting requirements to determine summary table/view data model requirements.
• Extend the data warehouse data layer by producing physical summary tables/views for utilization in the warehouse reporting layer.
• Determine and tune SQL used to populate data warehouse summary tables/views.
• Optimize SQL queries to enhance data retrieval and processing efficiency.
• Provide feedback on the data warehouse data model.
• Propose changes necessary to correctly populate summary tables/views based on evolving requirements.
• Generate comprehensive system documentation for all changes made.
• Maintain up-to-date documentation for transparency and knowledge transfer.
• Bring to the role 5+ years of experience in data warehousing, data modeling, PLSQL, and database management.
• Demonstrate excellent SQL skills and proficiency in working with Unix/Linux server environments.
• Exhibit excellent communication skills, essential for conveying complex technical concepts.
• Collaborate effectively within a team environment, fostering a culture of shared success.
• Showcase strong problem-solving skills in addressing data-related challenges.
• Operate as a self-starter, taking initiative to drive data initiatives forward.