As a Data Analyst on a Digital Healthcare Team, you will play a crucial role in helping with the design and development of the core platform that will enable our data-driven healthcare applications. Your will be supporting the design and development of secure and scalable platforms to enable consumer-centric health and wellness applications.
You will be part of a team responsible for the development and implementation of data solutions serving consumer-centric and healthcare professional-focused digital tools aimed at enhancing medication adherence and achieving optimal health outcomes. This role requires strong domain expertise, subject knowledge and cross-functional collaboration to ensure the successful delivery of initiatives while optimizing program performance and alignment with business objectives.
Project Overview:
The mission is to chase the miracles of science to improve people’s lives. The client is a company that’s on the rise. We are expanding in multiple directions, across borders and, most of all, in the way we think. We’re building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success.
The Digital Healthcare Team seeks a skilled and driven Data Architect to drive and support the development and launch of innovative digital care and life management programs targeting diabetes and other chronic conditions. We are building a comprehensive digital health platform that empowers patients with chronic conditions and their informal caregivers to manage health journeys more effectively together. Our platform combines multiple modular services into a seamless ecosystem that bridges the gap between clinical care and daily life management.
Requirements:
- Required skills:
- Proven experience as a Data Analyst, with a strong understanding of data architecture principles, practices, and technologies.
- Solid knowledge of OMOP CDM and Standardized Vocabularies
- Knowledge of USCDI
- Must have Clinical Health Care experience in the US Market
- 6+ years of overall experience
- Data Provisioning:
Python, AWS, DWH services (Redshift, Databricks) - Experience with at least one programming language (Python, Java, etc.)
- Strong data analysis and reconciliation skills.
- Advanced Microsoft Excel capabilities.
- Experience working in Agile environments (JIRA or similar tools).
- STEM degree (or equivalent experience).
- Strong knowledge of Big Data, No SQL, and RDBMS.
- Understanding of data governance, data management, and data quality concepts.
- Proficiency in data modeling tools.
- Strong communication and collaboration skills to effectively interact with business stakeholders and technical teams.
Will be a plus:
- Experience with Data Ops, data mesh etc.
- Experience in developing data science, analytics, and AI/ML solutions with Databricks.
Responsibilities:
- Analyse and interpret complex datasets using various tools and data modelling techniques.
- Work with data warehouses and data lakes, ensuring effective data integration, ETL processes, mapping and reconciliation.
- Conduct data profiling and quality assessments to identify issues and recommend solutions.
- Collaborate with stakeholders to evaluate remediation options, influencing technology decisions.
- Partner with Data Engineers, Data Analysts and Product Owners to improve data processes.
- Gather and define business requirements, managing end-to-end project delivery.
