Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers – amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility – our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
The Analytics Engineer is responsible for developing and operationalizing Analytical Models to make data available for consumption. This includes data modeling, data ingestion, data transformation, data validation / quality and engaging with Lead Developer during continuous integration and continuous deployment.
Analytics Engineers build and manage content matching standards for Data Models, DevOps, support and are technical stewards for units to the org.
Design and implement standardized data modeling procedures around creating DAX/MDX measures, enabling Row Level and Object Level Security.
Designs, codes, and tests new data management solutions, including supporting applications and interfaces
Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form
Works in tandem with Data Architects to align on data architecture requirements provided
Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery
Implements big data solutions by developing scalable data processing platforms to drive high-value insights to the organization
Supports development of Data Dictionaries and Data Taxonomy for product solutions
Demonstrates strong understanding with coding and programming concepts to build Analytical Models and Security
Experience with extracting and shaping data for analysis, has proficiency in strategic tools: Tabular editor, Power BI, Python
Experience in operating highly available, distributed systems of data extraction, ingestion
Problem Solving & deep knowledge of SQL and analytical tools
Understanding of how data flows are managed across the system
Understanding of the data integration Processes/Tools