Middle/Senior Data Analyst

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle Data Engineer

Our client is a company specializing in custom software development and IT consulting services. The company has a proven methodology of working in strictly regulated environments and we are known for our expertise in creating tailored software solutions for various industries, but particularly in healthcare and clinical research. Many of the world’s leading healthcare organizations and institutions, as well as numerous industry innovators and HealthTech companies, trust us to be their reliable partners. For over 16 years, we have been dedicated to developing healthcare software that enhances people’s lives. Our expertise lies in three key areas of health:

eHealth Solutions: We create web and mobile health applications catering to diverse health dimensions;
Clinical Research Systems & Software: Our software helps streamline the clinical research process and empowers researchers to make informed decisions;
Good Manufacturing Practices (GMP) Validated Systems: Our validated systems are designed to meet regulatory requirements, ensuring the safety and efficacy of healthcare products.

Requirements:

3+ years experience as a data analyst providing value business insights;
Excellent SQL & Python skills;
Familiarity with connecting Power BI to Azure data sources (e.g., Azure SQL Database, Azure Data Lake) and managing dataflows to pull in data securely and efficiently;
Excellent communication skills, capable of articulating complex concepts to diverse audiences, including revenue managers and senior stakeholders;
Ensure the Data Vault architecture aligns with business requirements and best practices in the pharma industry;
Develop and maintain conceptual, logical, and physical data models;
Good understanding of business processes in Pharma Technical Operations area and pharmaceutical supply chain models.

Responsibilities:

Conduct thorough data analysis to generate valuable business insights that support decision-making processes;
Translate complex data into actionable recommendations for revenue managers and senior stakeholders;
Utilize advanced SQL and Python skills to manage, query, and analyze data efficiently;
Develop, maintain, and optimize databases, ensuring their alignment with business needs and industry best practices;
Create and maintain conceptual, logical, and physical data models to support data analysis and reporting requirements.