What does a typical day look like?

• Assess, analyze, and organize raw data
• Prepare data for use in simulation, optimization, or data science tools
• Combine information from many disparate sources, conduct data validation/verification, and store the data in a manner that enables database users to intuitively join information across multiple domains
• Leverage industry best practices across all relevant levels of the technology stack to include the version control system, ETL processes, and the use of AWS cloud products
• Identify opportunities for new data acquisition
• Interface with source data in a variety of different forms to include APIs, flat file extracts, direct database querying, etc.
• Apply strong attention to detail to identify errors or data quality concerns and communicate with customers in a professional manner

What qualifications are they looking for?

• Bachelor’s degree in Analytics, Data Analysis, Statistics, Finance, Economics, Computer Science, or related field with minimum 8 years’ experience working or a combination of postgraduate studies and working in a technical field as described above.
• Ability to assess and profile raw data and reassemble raw data from multiple sources into a single, enterprise model
• Ability to work in a consulting role, building technology and communicating with end-users and customers of varying levels of technical capability
• Ability to produce high-quality, professional documentation and communication materials
• Ability to build and deploy team-friendly code in SQL

They’re extra impressed with folks who have:

• Master’s degree in Analytics, Data Analysis, Statistics, Finance, Economics, Computer Science, or related field
• Ability to build and deploy team-friendly code written in Python and R
• Experience with Amazon Web Services (AWS)
• Experience leveraging cloud platforms to build secure and scalable data infrastructure
• Experience building batch or streaming data ingestion pipelines
• Experience working with Medallion Architectures and Master Data Management