Senior Performance Analyst

Pfizer

. Provide performance metrics measuring operations and quality for Clinical Development & Operations stakeholders .

Posted 9/22/2026full-timeThessaloniki • GreeceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, performance metrics, and operational optimization within clinical development. Proficient in building and maintaining data pipelines, utilizing advanced analytics tools, and fostering strong stakeholder relationships.

Highest-signal resume keywords

SQL Query WritingPython ProficiencyData Pipeline DevelopmentBusiness Intelligence ToolsGenerative AI Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CurationData ManipulationPerformance Metrics AnalysisData VisualizationStatistical Analysis

Soft Skills

Strong Communication SkillsTeam CollaborationStakeholder Engagement

Tools & Technologies

DatabricksAlteryxTableauPower BISpotfire

Certifications & Qualifications

BA/BSMS/MBA

Industry Keywords

Clinical DevelopmentRegulatory ProcessesDrug DiscoveryOperational TargetsCloud Analytics

Tech Stack

Tools & technologies

CloudNumpyPandasPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact

Provide performance metrics measuring operations and quality for Clinical Development & Operations stakeholders
Define and use performance metrics to measure, control, and improve operational and quality performance
Liaise with stakeholders and team members to measure process control, mitigate risk, confirm process improvements, and identify optimization opportunities
Design, implement, and maintain reports, performance dashboards, and stakeholder presentations
Analyze and present internal and external data covering quality, speed, cost, and productivity
Measure performance against operational targets aligned with Pfizer’s vision and goals
Build, maintain, and optimize data pipelines using tools such as Databricks and Alteryx
Write SQL queries and Python scripts to curate, manipulate, and analyze large clinical and operational datasets
Develop visualizations and interactive dashboards using Tableau, Power BI, and Spotfire
Verify data accuracy and completeness before publishing stakeholder materials
Support senior team members with analytics, reporting, and data-driven enrollment scenarios
Apply Generative AI capabilities, including prompt engineering, RAG, and large language models, to analytics deliverables
Contribute to designing, building, and deploying AI agents using code and frameworks such as LangChain
Foster innovation, experimentation with emerging technologies, and strong stakeholder relationships

Requirements

What you’ll need

BA/BS required
3+ years of relevant experience
Experience in analytics, particularly technical data curation and manipulation
Demonstrated experience manipulating large data sets, integrating data across multiple sources, and structuring data for analysis
Strong hands-on experience writing complex SQL queries against relational and cloud data warehouses
Proficiency with Python and data-analysis libraries such as pandas, NumPy, PySpark, and matplotlib/seaborn
Demonstrated experience designing and operating end-to-end data pipelines using solutions such as Databricks and Alteryx
Hands-on experience with at least one enterprise BI/visualization tool: Tableau, Power BI, or Spotfire
Proficiency with Microsoft Office applications, including Excel and PowerPoint
Generative AI foundations, including prompt engineering, working with LLM APIs, and applying RAG patterns to enterprise data
Strong verbal and written communication skills
Ability to work and collaborate effectively with teams
Preferred: MS/MBA
Preferred: practical Databricks experience with notebooks, workflows, and Spark-based data processing
Preferred: experience building and deploying AI agents using code, including LangChain, tool use, orchestration, evaluation, packaging, containerization, API exposure, monitoring, and lifecycle management
Preferred: knowledge of clinical trial and regulatory processes
Preferred: experience of drug discovery and development in a global matrix organization
Preferred: exposure to modern data platforms and cloud analytics ecosystems
CV and motivational letter in English required

Benefits

Comp & perks

Hybrid work arrangement
Flexible workplace culture supporting work-life harmony
Equal employment opportunities
Reasonable adjustments and disability inclusion support
Accessibility assistance during the application and interviewing process