Data Analyst/Developer

Data Analytics Specialist (Python / SQL)

12-Month Contract Predominantly Remote | Initial Onsite Requirement of 1 Day Per Week Rate: €43 per hour

Our client, a leading organisation within the pharmaceutical sector, is seeking a Data Analytics Specialist to support a digital transformation programme focused on improving operational efficiency through data analytics, automation and emerging technologies.

This is a hands-on technical role suited to someone with approximately 3 years of commercial experience in Python, SQL and data analytics, who enjoys solving business problems and developing practical, data-driven solutions.

The Role

Working within a global digital optimisation team, you will help identify opportunities to improve business processes, reduce manual activities and develop automated solutions.

You will work closely with business stakeholders and technical teams to understand operational challenges, extract and analyse data from multiple systems, and develop solutions that improve reporting, efficiency and decision-making.

Projects will range from traditional data analytics and process automation through to more advanced predictive analytics and AI/ML applications as solutions develop.

Key Responsibilities

• Develop data analytics and automation solutions using Python and SQL.
• Work with business stakeholders to understand problems, identify opportunities and translate requirements into technical solutions.
• Extract, manipulate and analyse data from multiple enterprise systems, including ERP, laboratory and manufacturing systems.
• Build data models and integrate information from different sources to support end-to-end business processes.
• Identify opportunities to automate manual reporting, operational workflows and performance monitoring.
• Develop reporting solutions and dashboards to support business KPIs and decision-making.
• Support the development and implementation of predictive analytics, machine learning and AI-driven solutions where appropriate.
• Collaborate with software engineers, data engineers and business teams to deliver practical solutions.
• Perform data validation, testing, troubleshooting and ongoing solution improvements.
• Document technical solutions and communicate findings clearly to technical and non-technical stakeholders.
• Support continuous improvement initiatives within a regulated business environment.

Required Skills & Experience

• Approximately 3+ years of commercial experience in Data Analytics, Data Science, Software Engineering or a similar technical role.
• Strong hands-on programming experience with Python and SQL .
• Experience extracting, manipulating and analysing data from multiple databases or business systems.
• Experience developing data models, automated reporting solutions or process improvements.
• Good understanding of business processes and how data can be used to improve operational efficiency.
• Ability to translate business requirements into practical technical solutions.
• Strong analytical, problem-solving and troubleshooting skills.
• Experience working on projects from initial problem identification through to implementation.
• Excellent communication skills, with the ability to explain technical solutions to non-technical stakeholders.
• Relevant third-level qualification in Computer Science, Data Analytics, Software Engineering or a related discipline, or equivalent practical experience.

Desirable Skills

• Experience working with ERP systems, SAP, LIMS, MES or similar enterprise applications.
• Experience with Power BI, Tableau, Spotfire or other data visualisation tools.
• Exposure to machine learning, predictive analytics or generative AI technologies.
• Experience with Azure, AWS, Databricks or similar cloud-based data platforms.
• Knowledge of process automation tools, including Power Automate.
• Experience using Git and modern software development practices.
• Understanding of GxP requirements or experience working in regulated environments.
• Previous experience within pharmaceutical manufacturing, biotechnology, quality control or laboratory operations.

Additional Information

This is a 12-month contract offering predominantly remote working, with an initial requirement to attend site approximately one day per week.

Some flexibility in working hours will be required to collaborate with international project teams.

The ideal candidate will be a hands-on data professional who can combine strong Python and SQL capabilities with an understanding of business processes and a practical approach to problem-solving.

Previous pharmaceutical or quality control experience is advantageous but not essential.