Data Analyst at The Tithonia Group

Job Description

Description

About the Company
Simple Pharma’s purpose is to be the best home for proven pharma products.

The pharma industry overspends on pharma operations by €100bn per year, putting the success of their pharma products at risk and creating inefficiencies in the healthcare system.

Simple Pharma is building the first end-to-end distribution and compliance services company for pharma product owners. Our Distribute and Comply services allow intellectual property owners to focus on their products without needing to build or maintain pharma backbone capabilities. We pick up from manufacturers and deliver to wholesalers and pharmacies, taking care of everything else in between to keep products in supply. We hold marketing authorisations and comply with all regulatory requirements to maintain the highest possible standard of quality and patient safety. And we do this across Europe with the aspiration to expand globally.

Founded in 2019, as part of the Tithonia Group, we have scaled our operations to manage close to 100,000 units per month and 60 marketing authorisations across 25 countries. Our diverse and combined team has more than 30 people across 7 countries, speaking more than 10 languages. We are EBITDA profitable, growing, and are participating in a market that is ripe for new thinking.

At Simple Pharma, our core values— Knowledge and Transparency, Agency, First Principle Thinking & Humility—guide our actions every day. They shape our daily operations and interactions. Whether it’s empowering a colleague with the right information, proactively addressing challenges, or embracing feedback, we live these values every day to ensure that Simple Pharma is a place where innovation thrives, and excellence is the norm.

Requirements
The role 

The Data Analyst at Simple Pharma plays a key role in driving business insight and operational improvement through data. Reporting to the Principal Engineering Lead within the development team, this role is focused on project-based work, developing analytics, automation, and applications that provide clear, actionable insights to business stakeholders.

This is a highly entrepreneurial role in an exciting, early-stage business where you will be encouraged to contribute ideas and help shape the company’s trajectory.

Unlike traditional data analyst roles, this position requires a deep understanding of the full range of activities within Simple Pharma, ensuring data-driven insights are both relevant and impactful. Success in this role depends on a strong analytical mindset to extract and interpret data accurately, combined with a business-oriented and collaborative approach to ensure insights translate into real value for the company.

 What will you be doing 

1. Develop Dashboards & Provide Business Insights & Decision Support

• Design dashboards and reports to provide real-time metrics, analyze data, and deliver actionable insights that support strategic decisions.

2. Drive Data-Led Projects to Completion by Collaborating with Business Teams

• Own analytics projects from start to finish, working with teams to understand their needs and ensure data drives decision-making and business improvements.

3. Embed Data into Automation & Workflows

• Collaborate with the development team to embed data insights into automated workflows, identifying opportunities to streamline business functions and align automation with business objectives.

4. Ensure Data Accuracy & Best Practices

• Maintain data accuracy and consistency, follow best practices in visualisation and reporting, and educate business users on effective data-driven decision-making.

Who You Are and What You Bring
Required Skills and Qualifications:

•  Scripting & Automation – Familiarity with Python for data analysis and automation.
•  Business Intelligence (BI) – Ability to structure data to support business reporting and decision-making
•  Problem-Solving Mindset – Ability to analyse complex business challenges and provide actionable, data-driven solutions.
• Business Acumen – Understanding of business operations and ability to align data insights with strategic objectives.
•  Stakeholder Engagement – Ability to collaborate with non-technical teams, understand their needs, and communicate insights effectively.
• Project Management – Ability to manage multiple analytics projects, ensuring they deliver value and meet business goals.
•  Degree in a Relevant Field – (e.g., Data Science, Computer Science, Business Analytics, Engineering, or a related discipline) or equivalent experience.

Preferred Skills and Qualifications:

•  Data Analysis & Visualisation – Strong experience with tools like Power BI, Tableau, or similar for creating insightful reports and dashboards.
• SQL & Databases – Proficiency in writing SQL queries to extract and manipulate data from relational databases.
•  Data Processing & ETL – Understanding of data pipelines, ETL processes, and working with structured/unstructured datasets.
•  Experience in a Data Analyst Role –preferably in a business-focused environment where insights drive operational improvements.