Business Intelligence Analyst
Job Ref: BBBH26110
Location: Dublin City, Hybrid 3 days per week onsite (Mon, Thurs, + 1 other)
Shape the Future of Data-Driven Healthcare Analytics at a Scaling Pharmaceutical Innovator
Are you a Business Intelligence Data Analytics specialist with a passion for transforming and investigating complex pharma sales data into actionable insights? Do you thrive in a dynamic, growth-oriented environment where your strategic thinking will directly impact business outcomes?
Join our client, an exciting and scaling pharmaceutical company based in Dublin City centre, and a strategically important subsidiary of a leading international health solutions giant.
As they embark on an exciting phase of growth, they are seeking a highly motivated Business Intelligence Data Analytics Engineer to join their data analytics function. This is a great opportunity to be contribute to the company’s data analytics roadmap, its data-driven strategies, and ultimately contributing to improved business success.
Role Description:
In this role you will be instrumental in developing the company’s data analytics and BI dashboard reporting capabilities, working in a team of 3-4 Data Analysts, designing and building informative data dashboards that ensure data integrity and accuracy within the pharmaceutical sector. This position involves collaborating with cross-functional teams to identify and interpret complex datasets, into actionable strategies that support the organisation’s core operations. You will play a pivotal role in building and maintaining comprehensive dashboards, developing advanced analytics visualisations, and shaping data strategies within the healthcare sector.
What You Will Bring (Must-Have Skills):
- Minimum of 3 years of progressive and demonstrable experience in data analysis, design and development generating impactful insights through reporting and analysis
- Strong technical proficiency in SQL
- Expertise working with Power BI Business Intelligence & Data Visualisation
- Excellent communication and interpersonal skills, with the ability to effectively determine and share complex business insights to various stakeholders including executive leadership.
Ideally, You Will Also Have:
- Experience with statistical analysis tools and programming languages (e.g., R, Python).
- Familiarity with Azure cloud-based data platform
- Experience working in a startup or scaling environment.
- Appreciation of pharmaceutical data landscapes (e.g., NDC, TRx/NRx/NBRx, WAC, and industry-specific data challenges a plus.
Technical Must Have Skills:
- SQL Development & Optimisation – Extensive experience crafting complex SQL queries for data extraction and analysis, with a focus on accuracy and efficiency.
- Power BI Expertise – Proven ability to develop and maintain visually compelling reports and dashboards that facilitate business insight.
- Data Analysis & Visualisation – Robust skills in analyzing large, unstructured datasets, and using visualization tools to communicate insights effectively.
- Industry-specific Data Understanding – Deep familiarity with pharmaceutical data, including supply chain, and market data.
Nice to Have Skills:
- Python, R, Power Automate or RPA Tools – Experience with automation and analytics programming to enhance data processing workflows.
- Industry Awareness – Understanding of pharmaceutical industry challenges.
- Cloud Data Platforms – Familiarity with Azure cloud solutions
- Advanced Analytics & AI – Ability to leverage emerging technologies such as AI for predictive modeling and refined insights.
Additional Functional Requirements:
- Strong analytical thinking and problem-solving capabilities to investigate complex business questions.
- Exceptional communication skills to translate technical findings into accessible business narratives.
- Ability to work independently, prioritize tasks, and manage multiple ongoing projects.
- Collaboration skills to work effectively across technical and non-technical teams.
- Innovative mindset to explore automation, process optimization, and emerging analytics tools.
Educational Requirements:
- Educational Level: Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field.
Job Ref: BBBH 26011
Next Steps
We invite qualified candidates with a passion for analytics and a strong background in data management, particularly within healthcare, to apply confidently. Explore this opportunity to join a forward-thinking organization that values innovation and professional growth. Please submit your CV today to be considered for this exciting role.
Interested in this role? Submit your CV now!
Please don’t hesitate to contact our team with any questions at [email protected].
