Build and test rules based and machine learning models using Python and SQL
Develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Drive understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Partner with the business to provide consultancy and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies.
Requirements
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within Snowflake services
Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing business intelligence visualization tool
At least 1 year of experience querying, analyzing and working with data languages and platforms
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline (preferred)
At least 2 years of experience coding in Python, R, Spark, or SQL (preferred)
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. (preferred)
At least 1 year of experience utilizing and developing within AWS services (preferred)
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ) (preferred).
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.