Principal Data Analytics Team Lead
Job Ref: BBBH26028
Location: Dublin City, Hybrid 3 days per week onsite
Shape the Future of Data-Driven Healthcare at a Rapidly Scaling Pharmaceutical Innovator
Are you an accomplished Data Analytics leader with a passion for transforming complex 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 American health solutions giant.
As they embark on an exciting phase of growth, they are seeking a highly motivated Principal Data Analytics Team Lead to build and lead their data analytics function. This is a unique opportunity to be a key driver in enhancing the company’s data architecture roadmap, shaping its data-driven strategies, and ultimately contributing to improved business success.
Role Description:
In this role you will be instrumental in leading the company’s data analytics capabilities, building and mentoring a team of 3-4 Data Analysts, architecting robust and scalable data solutions that ensure data integrity, accuracy, and regulatory compliance within the pharmaceutical sector. This role offers the exciting challenge of developing enhanced data architecture strategies, implementing seamless data integration across various systems, and leveraging visualisation tools to communicate complex insights to diverse stakeholders, from executive leadership to finance, supply chain, marketing scientific and other technology teams.
Key Responsibilities:
- Data Leadership: Define and execute the company’s data analytics strategy, aligning with global objectives and driving data-informed decision-making across all departments.
- Team Leadership & Development: Build, mentor, and empower a high-performing team of 2 -3+ Data Analysts, fostering a collaborative and results-oriented environment. This includes talent acquisition, performance management, and professional development.
- Advanced Data Architecture & Integration: Design and implement scalable and efficient data architecture strategies, including data modelling, data warehousing solutions, and robust ETL/ELT processes, ensuring seamless data integration from diverse sources.
- Data Integrity & Quality Management: Establish and enforce rigorous data governance policies and procedures to guarantee data integrity, accuracy, and consistency across all data pipelines and analytical outputs, with a focus on pharmaceutical data quality standards.
- Insight Generation & Reporting: Lead the extraction of meaningful and actionable insights from complex pharmaceutical data, translating findings into clear and concise reports and presentations for various stakeholders.
- Advanced Data Visualization: Oversee the utilization of advanced data visualization tools and techniques to effectively communicate complex data stories, trends, and patterns to both technical and non-technical audiences.
- Regulatory Compliance & Data Security: Ensure all data analytics activities adhere to relevant pharmaceutical regulations (e.g., GDPR, local regulations) and maintain a strong focus on data security best practices.
- Cross-Functional Collaboration: Partner closely with IT, Development, Clinical Operations, Commercial teams, and executive leadership to understand their data needs and deliver impactful analytical solutions.
- Technology Evaluation & Adoption: Stay abreast of the latest data analytics technologies, tools, and methodologies, recommending and implementing innovative solutions to enhance the company’s analytical capabilities.
What You Will Bring (Must-Have Skills):
- Minimum of 5 years of progressive and demonstrable experience in data architecture design and development including data modeling, data warehousing, ETL/ELT processes, data management, and generating impactful insights through reporting and analysis, and with a strong understanding of data security principles.
- Proven and successful experience in leading and managing a team of data analysts, including setting objectives, driving results, and fostering professional growth.
- Strong technical proficiency in data-related technologies, including:
- Databases: Deep expertise in both SQL and NoSQL database systems (e.g., Azure SQL, PostgreSQL, MongoDB).
- Data Warehouses: Experience with cloud-based data warehousing solutions
- ETL/ELT Processes: Hands-on experience designing, implementing, and optimizing ETL/ELT pipelines (e.g., Azure Data Factory, Apache Airflow).
- Business Intelligence & Data Visualisation Tools: Advanced proficiency in leading data visualisation platforms (e.g. Power BI, Tableau, Qlik Sense).
- Excellent communication and interpersonal skills, with the ability to effectively present complex technical concepts to both technical and non-technical audiences, including executive leadership.
- Ideally, You Will Also Have (Nice-to-Have Skills):
- Experience with statistical analysis tools and programming languages (e.g., R, Python).
- Familiarity with cloud-based data platforms (e.g., Azure, AWS, GCP).
- Knowledge of data governance frameworks and tools.
- Experience working in a startup or scaling environment.
- Appreciation of pharmaceutical data landscapes, regulatory requirements (e.g., GDPR, GxP), and industry-specific data challenges a plus.
Ready to Make a Significant Impact?
This is an exceptional opportunity to join a dynamic and innovative pharmaceutical company at a pivotal stage of its growth. You will have the autonomy to shape the data analytics function, build a talented team, and directly contribute to the company’s success and ultimately, to better more cost effective patient outcomes.
Submit your CV today and let’s discuss how your expertise can drive our data-driven future!
For any questions regarding this exciting opportunity, please do not hesitate to contact us: Email: [email protected] Phone: +353 1 669 4040
