Pharmaceutical Manufacturing

PeakData AG

11-50

HR Director

Poland

**About Peak Data:**  
Peak Data is a Swiss-based startup revolutionizing the pharmaceutical industry through innovative data solutions. Our mission is to empower pharmaceutical companies with actionable insights, driving better decision-making and improving patient outcomes. Join our dynamic team and be a part of a company that is at the forefront of data-driven healthcare innovation.  
  
**Position Overview:**  
We are seeking a highly skilled and motivated Data Analyst to join our Operations Department. The ideal candidate will have a strong background in data analysis, with a particular focus on the pharmaceutical industry. You will be responsible for analyzing complex data sets, developing insights, and providing recommendations to support our operational strategies. Proficiency in SQL, Python, and AWS is essential for this role.

## Tasks

**Key Responsibilities:**

• Collect, process, and analyze large datasets to identify trends, patterns, and insights related to pharmaceutical operations.  
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and operational metrics.  
• Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity.  
• Utilize SQL to query databases and extract relevant data for analysis.  
• Apply Python for data manipulation, statistical analysis, and automation of data workflows.  
• Leverage AWS services to manage and analyze data in the cloud environment.  
• Provide actionable insights and recommendations to support decision-making processes within the operations department.  
• Stay updated with industry trends, best practices, and emerging technologies in data analysis and the pharmaceutical sector.

## Requirements

**Qualifications:**  
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus.  
• Proven experience as a Data Analyst, preferably within the pharmaceutical industry.  
• Strong proficiency in SQL for data querying and database management.  
• Advanced skills in Python for data analysis, statistical modeling, and automation.  
• Experience with AWS services, including data storage, processing, and analytics.  
• Solid understanding of pharmaceutical industry operations, regulations, and data requirements.  
• Excellent analytical and problem-solving skills with the ability to interpret complex data sets.  
• Strong communication skills, with the ability to present findings and insights to both technical and non-technical stakeholders.  
• Detail-oriented, with a commitment to accuracy and data integrity.  
• Ability to work independently and collaboratively in a fast-paced startup environment.

## Benefits

**What We Offer:**  
• Competitive salary and benefits package.  
• Opportunity to work with a passionate and innovative team in a growing startup.  
• Flexible working hours and remote work options.  
• Professional development opportunities and support for continuous learning.  
• A dynamic and inclusive work environment that values creativity and diversity.

Employee

Professional / Experienced

About Peak Data: Peak Data is a Swiss-based startup revolutionizing the pharmaceutical industry through innovative data solutions. Our mission is to empower pharmaceutical companies with actionable insights, driving better decision-making and improving patient outcomes. Join our dynamic team and be a part of a company that is at the forefront of data-driven healthcare innovation. 
Position Overview: We are seeking a highly skilled and motivated Data Analyst to join our Operations Department. The ideal candidate will have a strong background in data analysis, with a particular focus on the pharmaceutical industry. You will be responsible for analyzing complex data sets, developing insights, and providing recommendations to support our operational strategies. Proficiency in SQL, Python, and AWS is essential for this role.
<h2 id="tasks">Tasks</h2>
Key Responsibilities:
• Collect, process, and analyze large datasets to identify trends, patterns, and insights related to pharmaceutical operations. • Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and operational metrics. • Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity. • Utilize SQL to query databases and extract relevant data for analysis. • Apply Python for data manipulation, statistical analysis, and automation of data workflows. • Leverage AWS services to manage and analyze data in the cloud environment. • Provide actionable insights and recommendations to support decision-making processes within the operations department. • Stay updated with industry trends, best practices, and emerging technologies in data analysis and the pharmaceutical sector.
<h2 id="requirements">Requirements</h2>
Qualifications: • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus. • Proven experience as a Data Analyst, preferably within the pharmaceutical industry. • Strong proficiency in SQL for data querying and database management. • Advanced skills in Python for data analysis, statistical modeling, and automation. • Experience with AWS services, including data storage, processing, and analytics. • Solid understanding of pharmaceutical industry operations, regulations, and data requirements. • Excellent analytical and problem-solving skills with the ability to interpret complex data sets. • Strong communication skills, with the ability to present findings and insights to both technical and non-technical stakeholders. • Detail-oriented, with a commitment to accuracy and data integrity. • Ability to work independently and collaboratively in a fast-paced startup environment.
<h2 id="benefits">Benefits</h2>
What We Offer: • Competitive salary and benefits package. • Opportunity to work with a passionate and innovative team in a growing startup. • Flexible working hours and remote work options. • Professional development opportunities and support for continuous learning. • A dynamic and inclusive work environment that values creativity and diversity.

Data Analyst - Operations Department

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