H1B'S WELCOME! Relocation Assistance Available $110-$120K BASE PLUS BONUS SUMMARY:
Experienced building ETL solutions using: AzureDataFactory, Azure Logic Apps or SSIS
Experienced building ETL solutions that pull flat files into a DB using various technologies
Experienced with various functions within SQL
REQUIREMENTS:
Bachelor's degree in Computer Science or equivalent
Master's degree Computer Science, MBA or equivalent preferred
Six (6) years or more experience in Applied Project(s)
Experience in demonstrating, digital transformation, data management in an educational/project
Six (6) years or more experience in data extraction, transformation & loading, and agile development
Experience working in a cloud environment
Four (4) years or more experience working in an individual contributor role as a key member of the team that others rely on
Experience using tools: ETL tools (Alteryx or SSIS) and Data manipulation tools (SQL) Object-oriented development stacks (.net)
Exposure to the development of predictive analytic solutions using predictive analytics tools: Alteryx, R, Python, Power BI, Tableau preferred
Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms
Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies
RESPONSIBILITIES:
Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic
A specialist of data integration and analytics, bringing the required qualitative and quantitative skills to enable the product teams
Coach, mentor and learn from the upcoming generation of product experts demonstrating thought leadership across disciplines and domains to facilitate consensus, buy-in, and adoption
Enhance data maturity and integration for products by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect
Challenge the status quo guiding entrepreneurial innovation in both analytical products and the curation of new data sources elevating analytics beyond data reporting and dashboarding to the delivery actionable insights
Knowledge of Business, understanding the complexity of the supply chain world and the role that data has within this ecosystem