Our Mission:
Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.
Overview:

HOW YOU CAN MAKE A DIFFERENCE

We are looking for a Senior Enterprise Data Analyst who will be reporting directly to our Manager, Data Engineering. This position is responsible for driving the wholistic process of business analytical enablement by engaging with key stakeholders to identify data needed to support key use cases, integrating data from multiple platforms, designing data structures, defining and prototyping business logic, and validating results. The skills required are a unique blend of diverse problem-solving capabilities including analyst, data designer, data engineer, and quality assurance with broad latitude for decision making and solutioning. This senior level position will collaborate with business areas, project teams, and engineering teams to ensure high quality delivery of data focusing on innovation and creativity, enabling value-add to the business on large scale efforts.
What you’ll be doing

Note: The essential duties and primary accountabilities below are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Although all the functions listed here are essential, the extent to which a team member may engage in these activities may vary day-to day. Predictable and reliable attendance is an essential function. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions as described.

• 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.

• 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