Senior Developer, Data Analytics & Business Intelligence

Overview

We are looking for a self-motivated, passionate Senior Data Analytics& Business Intelligence Developer to join our Clearing Data Analytics team. In this role you will develop a deep understanding of our Clearing Houses business processes. You will focus on understanding the data models and fields, integrating data, and helping users access data in an understandable and performant way. The right candidate has a unique mix of technical skills and business-process savvy, will work with our end-users to define priorities, communicate them to the data warehouse development team and will proactively develop and maintain tools, automation, and data analytic solutions to help our users achieve their goals.

Responsibilities

• Design and develop end-to-end scalable analytical solutions using Tableau to support critical business processes
• Help identify high-impact analytics use cases and communicate it the data warehouse development team
• Develop data models based in our data warehouse for the use of our self-service BI users
• Interact with project and business stakeholders to provide solutions for business data analytic requirements
• Perform hands-on design, development, configuration and testing of BI reports and dashboards for new and existing business metrics
• Become proficient in our data model and data structures to quickly respond to business queries and requests
• Maintain a consistent, clear, and useful data dictionary
• Use SQL and other database access tools and methods to address business or technical requirements
• Create and maintain up to date documentation of the data model, data flow and field level mappings
• Participate in data strategy and roadmap exercises, business intelligence / data warehouse product selection, deployment, and implementation
• Provide technical guidance for the design and implementation of data analytics systems and tools
• Work with the team to develop a data governance framework, with a focus on data quality and protection of sensitive data, through establishing policies and standards, principles, processes, related tools, and data architecture
• Conduct root cause analysis and resolve production problems and data issues
• Participate in the design, development, and analysis of data architecture and data mart approaches

Knowledge and Experience

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