Senior Data Analyst, Madrid
Empresa
AstraZeneca
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Senior Data Analyst
Are you ready to lead the charge in transforming data into actionable insights? As a Senior Data Analyst, youll be at the forefront of driving business intelligence, optimizing effectiveness, and predicting outcomes. This role demands a hands-on expert who can seamlessly blend technical prowess with business acumen, connecting analytical insights to strategic decisions. Youll spearhead the analytics lifecycle, from data modeling to visualization, using tools like Power BI, SQL, Python, and cloud platforms. If youre curious about how emerging technologies like Generative AI and Transformers can revolutionize decision-making, this is your opportunity to make an impact!
Accountabilities
- Implementation of Analytical Solutions: Coordinate and lead the design, implementation, and optimization of analytical and visualization solutions using Power BI, SQL, Python, and cloud platforms.
- Business Partnering Strategic Insight: Collaborate with stakeholders across various departments to identify opportunities and shape analytical approaches that drive performance.
- Advanced Data Modeling Engineering: Lead data model design and apply advanced SQL, DAX, and Power Query skills to architect reliable datasets.
- Project Management Perspective on Data and Analytics: Plan, manage, and deliver multiple analytics projects, ensuring timely delivery and quality standards.
- Stakeholder Engagement Change Enablement: Communicate complex findings effectively and build strong cross-functional relationships.
- AI Innovation Leadership: Explore and apply Generative AI within analytics pipelines and partner with Data Scientists for predictive models.
- Data Governance Compliance: Ensure compliance with GDPR and promote high data quality across platforms.
Essential Skills/Experience
- Bachelors Degree in Data Science, Computer Science, Engineering, Business Analytics, or related field (or equivalent experience).
- 5+ years of hands-on experience delivering end-to-end analytical solutions with measurable business outcomes.
- Expert-level Power BI proficiency (data modeling, DAX, Power Query, performance optimization).
- Strong SQL capabilities for data wrangling, analysis, and automation.
- Proven ability to manage multiple projects simultaneously, ensuring timely delivery and quality standards.
- Strong project management skills: planning, prioritization, stakeholder management, and delivery tracking.
- Demonstrated ability to translate business objectives into analytical frameworks that drive impact.
- Deep understanding of business processes and performance metrics across commercial, marketing, or operational areas.
- Experience in the life sciences and/or healthcare industry, with a strong understanding of data structures, compliance, and terminology relevant to this sector.
- Experience working in cloud-based data environments (Azure, AWS, GCP).
- Excellent communication and presentation skills, with a clear storytelling approach.
- Proven ability to mentor other analysts and influence data culture across teams.
- Knowledge of Customer Data Platforms (ie: Teallium, SFData Cloud, Treasure Data).
- Knowledge of Marketing Activation tools and its data model (Adobe Campaign, Twilio, Sengrid).
Desirable Skills/Experience
- Familiarity with Generative AI, LLMs (GPTs, Claude, Gemini, etc.), and Transformer-based architectures.
- Experience applying AI techniques or models to business analytics problems (summarization, insight automation, anomaly detection).
- Knowledge of data orchestration tools (Azure Data Factory, dbt, Synapse, Databricks).
- Experience in predictive modeling, segmentation, and advanced analytics.
- Understanding of CRM/ERP data models, digital marketing data, and customer journeys.
- Knowledge of Customer Data Platforms (Tealium, Salesforce Data Cloud, Treasure Data) and marketing activation tools and its data models.
- Familiarity with data privacy regulations and governance frameworks (e.g., GDPR).
- Awareness of the European Union Artificial Intelligence Act (EU AI Act) and its implications for AI governance, compliance, and responsible model deployment.
At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms. Join us at a crucial stage in our journey as we become a digital and data-led enterprise. With the backing to innovate and disrupt the industry, youll have the freedom to explore new solutions in a dynamic environment. Our diverse team collaborates across functions to drive efficiency and productivity. Together we make informed decisions that power our business to change lives.
Power BI, SQL, Python
Are you ready to lead the charge in transforming data into actionable insights? As a Senior Data Analyst, youll be at the forefront of driving business intelligence, optimizing effectiveness, and predicting outcomes. This role demands a hands-on expert who can seamlessly blend technical prowess with business acumen, connecting analytical insights to strategic decisions. Youll spearhead the analytics lifecycle, from data modeling to visualization, using tools like Power BI, SQL, Python, and cloud platforms. If youre curious about how emerging technologies like Generative AI and Transformers can revolutionize decision-making, this is your opportunity to make an impact!
Accountabilities
- Implementation of Analytical Solutions: Coordinate and lead the design, implementation, and optimization of analytical and visualization solutions using Power BI, SQL, Python, and cloud platforms.
- Business Partnering Strategic Insight: Collaborate with stakeholders across various departments to identify opportunities and shape analytical approaches that drive performance.
- Advanced Data Modeling Engineering: Lead data model design and apply advanced SQL, DAX, and Power Query skills to architect reliable datasets.
- Project Management Perspective on Data and Analytics: Plan, manage, and deliver multiple analytics projects, ensuring timely delivery and quality standards.
- Stakeholder Engagement Change Enablement: Communicate complex findings effectively and build strong cross-functional relationships.
- AI Innovation Leadership: Explore and apply Generative AI within analytics pipelines and partner with Data Scientists for predictive models.
- Data Governance Compliance: Ensure compliance with GDPR and promote high data quality across platforms.
Essential Skills/Experience
- Bachelors Degree in Data Science, Computer Science, Engineering, Business Analytics, or related field (or equivalent experience).
- 5+ years of hands-on experience delivering end-to-end analytical solutions with measurable business outcomes.
- Expert-level Power BI proficiency (data modeling, DAX, Power Query, performance optimization).
- Strong SQL capabilities for data wrangling, analysis, and automation.
- Proven ability to manage multiple projects simultaneously, ensuring timely delivery and quality standards.
- Strong project management skills: planning, prioritization, stakeholder management, and delivery tracking.
- Demonstrated ability to translate business objectives into analytical frameworks that drive impact.
- Deep understanding of business processes and performance metrics across commercial, marketing, or operational areas.
- Experience in the life sciences and/or healthcare industry, with a strong understanding of data structures, compliance, and terminology relevant to this sector.
- Experience working in cloud-based data environments (Azure, AWS, GCP).
- Excellent communication and presentation skills, with a clear storytelling approach.
- Proven ability to mentor other analysts and influence data culture across teams.
- Knowledge of Customer Data Platforms (ie: Teallium, SFData Cloud, Treasure Data).
- Knowledge of Marketing Activation tools and its data model (Adobe Campaign, Twilio, Sengrid).
Desirable Skills/Experience
- Familiarity with Generative AI, LLMs (GPTs, Claude, Gemini, etc.), and Transformer-based architectures.
- Experience applying AI techniques or models to business analytics problems (summarization, insight automation, anomaly detection).
- Knowledge of data orchestration tools (Azure Data Factory, dbt, Synapse, Databricks).
- Experience in predictive modeling, segmentation, and advanced analytics.
- Understanding of CRM/ERP data models, digital marketing data, and customer journeys.
- Knowledge of Customer Data Platforms (Tealium, Salesforce Data Cloud, Treasure Data) and marketing activation tools and its data models.
- Familiarity with data privacy regulations and governance frameworks (e.g., GDPR).
- Awareness of the European Union Artificial Intelligence Act (EU AI Act) and its implications for AI governance, compliance, and responsible model deployment.
At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms. Join us at a crucial stage in our journey as we become a digital and data-led enterprise. With the backing to innovate and disrupt the industry, youll have the freedom to explore new solutions in a dynamic environment. Our diverse team collaborates across functions to drive efficiency and productivity. Together we make informed decisions that power our business to change lives.
Power BI, SQL, Python