Description

You will act as a domain expert overseeing out-of-car experiences and data processes to bridge the gap between business requirements and technical implementation.

Responsibilities

• Translate business requirements into technical specifications for the data engineering team.
• Discover, analyze, and scope data requirements by creating conceptual and logical data models.
• Develop high-level process models, including system interface diagrams, workflows, and data flow diagrams.
• Perform analysis of system data to identify patterns, exceptions, and erroneous data.
• Maintain data integrity through day-to-day collection, transportation, and curation of connected tech data assets.
• Standardize and centralize data from internal and external sources to enable business and data science stakeholders.

Required Skills

• 6+ years of experience in data analysis and data profiling within a project or data engineering environment.
• 4+ years of experience in data profiling with the ability to identify trends and anomalies to inform data model builds.
• Proficiency in SQL, Python, R, and Spark.
• Experience working with AWS services and Redshift warehouses.
• Experience handling both structured and unstructured datasets from diverse sources.
• Ability to document and communicate requirements clearly to technical team members.
• Experience with Business Intelligence tools.
• Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM), or a Master’s in Data Science or Analytics.

Key Skills

Education

Bachelor's degree