RKube Inc

Compensation

Full Description

• Drive completion of data projects and deliverables including the execution of highly complex data solutions while demonstrating best practices, processes and standards for user story development, data analysis, architecture, Modeling, design, coding, and testing. • Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables including the design principles, models, and mappings for transactional and analytical systems serving both strategic and tactical needs. • Work closely with the business, mapping their most pressing business problems to data and analytic solutions. • Develop data models and data transformation logic. • Work with data engineers to implement data pipelines. • Prototype data solutions to enable the measurement or monitoring of key performance indicators. • Collaborate with senior management to understand data needs in support of departmental goals. • Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management. • Become the subject matter expert in multiple data domains. • Responsible for defining company standards around data quality. • Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily, and accurately. • Enable data science team to build ML models by designing and providing high quality data. • Establish and maintain effective and positive relationships with internal and external customers.