Abbott is looking to leverage data science to improve how people with diabetes manage their health by revolutionizing glucose monitoring with new sensing technology. The Data Analyst will contribute to shaping data-driven strategies and Big Data initiatives to uncover customer, product, and operational insights from complex datasets.
Requirements
- Experience with data exploration, data cleaning, data analysis, data visualization and data mining, preferably in the medical device or healthcare industry.
- Strong knowledge of machine learning algorithms, statistical techniques and data visualization.
- Knowledge of or direct experience with Databricks and/or Apache Spark.
- Programming language and tool experience, ideally in Python, R, Scala and SQL plus a willingness to learn new software development languages to meet goals and objectives.
- Experience with data visualization tools (e.g., Databricks, QuickSight, Power BI).
- Strong knowledge of data governance principles, data integration, data warehousing and ETL processes.
- Familiarity with data privacy and security regulations, such as HIPAA and GDPR.
Responsibilities
- Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards and segmentation.
- Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
- Proactively analyze data and trends to provide insights and recommendations that drive business strategies.
- Build, validate, and optimize predictive models using machine learning algorithms to ensure accuracy and performance.
- Create and maintain dashboards and reports using data visualization tools to communicate findings and insights to technical and non-technical stakeholders.
- Ensure data quality and consistency by cleaning, transforming, and normalizing data, while maintaining a central source of truth.
- Contribute to data security and confidentiality by maintaining appropriate access controls, encryption and backup procedures.
Other
- Candidate should be able to work on a geographically distributed team.
- Excellent communication and presentation skills with the ability to translate technical findings into actionable insights for non-technical stakeholders.
- Comfortable working asynchronously with a distributed team.
- Ability to work collaboratively in a fast-paced, cross-functional team environment
- Minimum 2 years of work-related experience.
