Data Specialist II

What you'll do

• Analyze customer requirements to develop implementable and maintainable technical solutions.
• Validate data accuracy across large datasets in diverse formats using mature techniques and AI.
• Perform high-volume data gathering, mining, processing, and modeling tasks.
• Develop backend data infrastructure for new digital products.
• Execute ETL processes to build and manage databases.
• Use SQL and Python to solve business challenges and join large datasets.
• Create data visualizations to report actionable business insights to management.
• Identify data inconsistencies and recommend corrective actions to ensure high precision.

What we're looking for

• Proficiency in SQL and other data programming languages like Python to solve business challenges.
• Working knowledge of the extraction, transformation, and loading (ETL) process to develop databases.
• Working knowledge of machine learning principles, technologies, and algorithms.
• Advanced knowledge of data management systems and experience joining multiple large datasets.
• Ability to perform data gathering, mining, processing, and modeling for high-volume data sets.
• Ability to communicate complex technical concepts clearly to various audiences using presentation tools.
• Bachelor's or Master's degree in a relevant technical field such as Data Science, Computer Science, Engineering, or Mathematics (preferred).
• Experience with Snowflake, cloud technologies (AWS, Azure, Google Cloud), and version control systems like GitHub (preferred).