Pharmacist Data Analyst Jobs (NOW HIRING)

Job Summary

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Stellus Rx improves ease and outcomes in every moment that matters, along every health journey.

Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Data Analyst for Stellus Rx will help our communities thrive as a key member of the Technology Team. You will work closely with Stellus Rx leaders and across the organization, as we work collaboratively to unlock the health of millions of Americans by turning "use as prescribed" into a guarantee, not a direction. We are a culture that is unabashedly driven by purpose. We are making a difference to our patients and team members while growing at an accelerated rate.

The Sr. Data Analyst is accountable for use case creation, scope management, process improvement, service management, stakeholder analysis, requirement gathering and/or test case creation for medium to large size projects/programs through all phases of the SDLC to achieve goals

Role and Responsibilities

• This role involves working directly with the Technology Team and Product Partner to deliver data products based on business requirements in supporting our corporate strategies
• Lead use case creation, scope management, process improvement, service management, stakeholder analysis, requirement gathering and/or test case creation for medium to large size projects/programs through all phases of the SDLC to achieve goals
• Partner with key stakeholders from different functional areas to understand business needs and how it impacts the ongoing development, testing and operations of our model data management solutions
• Assists with the understanding, clarification, and implementation of business requirements
• Leads small projects writing, prioritizing, and managing all product user stories and properly articulate and document user story acceptance criteria
• Ensure that validated deliverables meet functional and non-functional requirements in accordance with design specifications
• Demonstrate ability across a range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets
• Identify and propose new data sources to enhance the breadth and quality of the data captured and processed
• Maintain necessary processes, controls, and procedures to ensure data accuracy and integrity
• Provide analysis and recommendations to business stakeholders in making decisions related to data rules
• Develop reconciliation programs to monitor the integrity of the production system data
• Develop and present professional quality presentations and demonstrations to both engineering and business stakeholders on system strategy, design, and project progress
• Managed, mentored team members and led efforts to develop mappings of multiple claims products to a canonical schema.
• Provided technical vendor management to ensure that downstream data is of consistently precise and of high quality.
• Managed the onboarding of new data vendors and data sources.
• Design, build, and maintain appropriate data models and structures in support of analytics, data profiling, data rules and data lineage
• Design and develop quality process and procedures to ensure effective availability, definition, and integrity of data assets
• Work with data stewards to define data rules, develop reference data and master data to support business initiatives and projects
• Analyze and profile data to identify new business opportunities and others to implement a solution that impacts business in a positive manner
• Develop and maintain documentation on execution of the processes and data including data lineage, metadata, and required data governance outputs
• Ensure compliance to Enterprise Data Governance policies and standards while defining the data definition and data quality framework for Master Data Management

Qualifications and Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or equivalent combination of education and experience
• Strong knowledge of the healthcare and pharmaceutical domain
• 7+ years of data and analytics experience
• Experience in preparing data mapping requirements from raw data to build a standardized schema and providing detailed ETL requirements.
• Experience working with cloud-based data warehouses and data management systems
• Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
• Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, BI tools, or other analysis software
• Knowledge Industry data and methods and ability to connect external insights to business problems.
• Excellent written and verbal communication
• Detail oriented, able to multi-task, adapt to change and effectively prioritize work
• Strong problem solving and analytical skills
• Experience with tools such as JIRA, Confluence, and Teams