Healthcare Data Analyst

buscojobs España; Cáceres; Presencial; EUR 35.000 - 60.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Data Analyst for their Digital Healthcare Team. The role involves analyzing complex datasets and collaborating with stakeholders to enhance healthcare applications. Candidates must possess strong data analysis skills and experience in clinical healthcare within the US market, along with proficiency in data modeling tools and a STEM degree.

Formación

• 6+ years of overall experience as a Data Analyst.
• Clinical healthcare experience in the US market is required.
• Strong knowledge of Big Data, NoSQL, RDBMS, and data modeling tools.

Responsabilidades

• Analyze and interpret complex datasets using various tools.
• Work on data integration, ETL processes, mapping, and reconciliation.
• Collaborate with stakeholders to evaluate remediation options.

Conocimientos

Data analysis

Collaboration

Communication

Data modeling

Data governance

Educación

STEM degree

Herramientas

Python

JIRA

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 will 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 importantly, in our thinking. We’re building a team of brilliant individuals to drive the success of a new healthcare business that aims 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 :

• 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.