Data Analyst - Tratamiento De Aguas (Goloso, El), España - Fresenius Medical Care

Fresenius Medical Care

Empresa verificada

Tratamiento De Aguas (Goloso, El), España

hace 2 semanas

Publicado por:

Isabel García

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Dashboard Design and Development:

Create and maintain interactive, userfriendly dashboards using Streamlit, Tableau, or Power BI tools.
Collaborate with stakeholders to understand their requirements and translate them into effective visualizations.

Data Visualization Best Practices:

Implement best practices for data visualization, ensuring clarity, accuracy, and accessibility for a diverse audience.

Statistical Analysis:

Utilize statistical models to validate hypotheses and support decisionmaking processes.

Data Exploration and Insights:

Conduct exploratory data analysis to uncover trends, patterns, correlations, and outliers.
Provide actionable and strategic insights by analyzing complex datasets through compelling visualizations and narratives.

KPI Development and Monitoring:

Collaborate with business stakeholders to define and establish key performance indicators (KPIs) relevant to data analysis goals.
Develop mechanisms for ongoing monitoring and reporting on KPI performance.

Data Cleaning and Preprocessing:

Clean and preprocess raw data to ensure accuracy and consistency in visualizations.
Collaborate with data engineers to establish efficient data pipelines for visualization purposes.

SQL for Data Access:

Collaboration with Data Integration Teams:

Work closely with data integration teams to ensure seamless data integration for visualization purposes.
Provide input on data requirements for integration processes.

Infrastructure and Azure Cloud Services:

Leverage Azure cloud services for data storage, processing, and analysis.
Collaborate with the infrastructure team to implement and optimize cloudbased solutions, ensuring scalability and efficiency.
Provide input on infrastructure requirements for data storage, processing, and analysis.

Quality Assurance for Visualizations:

Conduct thorough testing of visualizations to ensure accuracy, completeness, and responsiveness.
Implement quality assurance processes for visual elements and data integrity.

Documentation and Knowledge Sharing of Visualization Processes:

Document the process of creating visualizations, including data sources, methodologies, and design choices.
Maintain an organized repository of visual assets for future reference.

Continuous Improvement, learning, and professional development:

Stay informed about advancements in data visualization tools and techniques.
Continuously seek opportunities to enhance and optimize existing visualizations for improved decisionmaking.
Stay updated on industry trends, new tools, and methodologies in data analysis.
Participate in training programs and encourage a culture of continuous learning within the data team.