Healthcare Data Analyst

buscojobs España; Pontevedra; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A leading digital healthcare company is seeking a Data Analyst to enhance its innovative healthcare applications. The successful candidate will support the design of scalable data solutions, focusing on chronic condition management and teamwork in a dynamic environment. This role offers an opportunity to significantly impact patient care by bridging clinical and daily life management.

Formación

• 6+ years of overall experience in data analysis.
• Strong understanding of data architecture principles and technologies.
• Clinical healthcare experience in the US market is required.

Responsabilidades

• Analyze and interpret complex datasets using various tools.
• Conduct data profiling and quality assessments.
• Collaborate with stakeholders to evaluate technology decisions.

Conocimientos

Data Analysis

Cross-Functional Collaboration

Communication

ETL Processes

Data Governance

Big Data

NoSQL

RDBMS

Educación

STEM degree (or equivalent experience)

Herramientas

Python

JIRA

Databricks

Descripción del empleo

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 responsibilities include 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 developing and implementing 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 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 Healthcare experience in the US Market.
• 6+ years of overall experience.
• Experience with at least one programming language (Python, Java, etc.).
• Strong data analysis and reconciliation skills.
• Experience working in Agile environments (JIRA or similar tools).
• STEM degree (or equivalent experience).
• Strong knowledge of Big Data, NoSQL, 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 DataOps, 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.