Junior Healthcare Data Analyst

Há 4 dias

Porto, Portugal knok Tempo inteiro

**Learn about knok**

At knok, we dare to lead and humanize the digital transformation of healthcare. We envision a world where everyone has timely access to quality healthcare through digital technology, creating a more equal society. We genuinely believe in it and you can recognise it in every person who embraces this mission. We are rapidly growing, delivering augmented telemedicine on 4 continents, and we have barely begun

**About the role**

We are looking for a **Junior Healthcare Data Analyst** to support our teams in turning complex healthcare data into meaningful insights. You’ll be working with datasets from different sources, such as clinical operations, insurance processing, and patient journeys - helping us improve care delivery and decision-making.

If you’re passionate about using data to make healthcare more accessible and effective, don't stop here - dive deeper

As an Junior Healthcare Data Analyst, you will:

- Collect, clean, and analyse healthcare data from multiple sources (e.g. EHR, patient demographics, operational systems), to extract meaningful insights;
- Develop and maintain dashboards, reports, and visualisations to communicate key metrics and findings to stakeholders, including clinicians, operational teams and leadership team;
- Collaborate cross-functionally with teams across the organisation, including data science, product management, and clinical operations, to support data-driven decision-making;
- Perform statistical analysis to support population health management, risk stratification, and clinical outcome optimisation;
- Contribute to improving data quality by identifying data quality issues and anomalies, and work with relevant stakeholders to address and resolve them.

**What makes you a great fit for this journey**
- Bachelor's degree in Biomedical Engineering, Medical Statistics, Biomedical Sciences, Data Science, Statistics, Computer Science, Health Informatics, or a related field. Master's degree preferred;
- Experience (academic or professional) with data visualisation tools such as Tableau, Power BI or similar;
- Technical expertise regarding data models, database design development, data mining and segmentation techniques;
- Ability to turn complex data into clear insights that support better decision-making;
- Knowledge of programming languages such as Python or R for data analysis and statistical modeling;
- Ability to explain a dashboard or an analysis to someone without a technical background, in a simple and practical way;
- Care when working with data to ensure accuracy, consistency and reliability;
- Ability to manage several analytical tasks at the same time, prioritising what has the greatest impact on the business and patients.

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