
Senior Data Analyst
- Dublin
- Permanent
- Full-time
- Develop new concepts, technologies and products to meet emerging business requirements to support data and service product and programs, contracting, sales and invoicing.
- Strong analytical skills including the ability to understand complex problems, break them down into manageable components, and apply analytical techniques to find solutions.
- Collaborate with lines of business to understand their analytic needs, contribute to shaping business solutions and communicate results of analytics
- Actively consult with business stakeholders and subject matter experts to ensure appropriate business content is incorporated into analytic approaches. Anticipate stakeholder needs and proactively develop solutions to meet them
- Deliver well-engineered, scalable data products to support integrated analytics and reporting
- Rapidly develop new insights and iterate upon those insights to drive business decisions
- Create annotated Data Bricks code and documentation describing analytics methodologies, data product designs using layman’s terms that will serve as the documented technical requirements for IT partners to scale and productionize analytics solutions
- Efficiently deliver on ad-hoc analysis requests from a wide range of stakeholders
- Experience with MS Azure, SQL, ML
- Technical experience in Python, Data Factory and Machine Learning
- Experience analyzing and interpreting large volumes of data from disparate data sources with the ability to error proof the output of analyses
- Experience in creating rapid prototypes (ETL, Analytics logic)
- Experience with FMCG, Pharma or any Retail experience
- Bachelors degree in discipline with strong analytical focus (analytics, mathematics, statistics, engineering etc.
- Experience in delivering predictive and/or prescriptive analytics in an industry setting that yielded real business value.
- Experience working in health informatics or within the healthcare industry or prior experience with Clinical, Claim, and/or Hospital Billing Data Types
- Computer science qualification or experience
- Quantitative mindset and ability to understand complex processes
- Ability to own solution delivery with strong organizational, time management and problem-solving skills
- Communication skills, able to work with stakeholders from multiple levels and disciplines