Abbott Laboratories Hiring for Data Analyst – Abbott Diabetes Care Job at Dubai Full Time

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutrition and branded generic medicines. Our 113,000 colleagues serve people in more than 160 countries.

At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. That’s why we’re focused on helping people with diabetes, manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

Data Analyst: A Unique Opportunity

The Business Data Analyst should have a passion for working with the Commercial Team and customers, as well as, analyzing data and providing insights for actionable business decisions. This position requires a motivated self-starter, driven by accomplishment and accountability with strong attention to detail and adaptable to changing requirements and priorities. Your primary role is to apply data mining and modeling techniques to provide insights for actionable business decisions. The areas of focus will include: understanding and documentation of data model, data extraction, data analysis, reactive & proactive data quality improvement, model building, master data management and data visualization. Ideal candidates will combine technical and business knowledge with analytical strength and creative problem-solving abilities.

WHAT YOU’LL DO

• Understanding and documenting the data models of existing databases

• Creating queries to extract data from primary and secondary sources

• Removing corrupted data and fixing coding errors and related problems

• Developing and maintaining databases, data systems by applying Master Data Management concepts and reorganizing data in a readable format

• Performing analysis to assess quality and meaning of data; recommending and implementing areas of improvement

• Ensuring IT and Quality compliance of the databases and support IT Audits

• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction

• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.

• Analyzing local, national, and global trends that impact both the organization and the industry

• Preparing reports for the management stating trends, patterns, and predictions using relevant data

• Working with programmers, project managers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

• Conduct Exploratory Data Analysis projects.

• Summarizing and scheduling data for the presentation layer of data visualization tools like Power BI

• Supporting Business with Ad-hoc reports and data extracts

EDUCATION AND EXPERIENCE, YOU’LL BRING

A successful data analyst needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management, or Economics can serve as a solid foundation.

Required:

• Bachelor’s Degree required. Master’s Degree preferred.

• A minimum of 4 years relevant work experience

• Strong data analysis skills, ability to analyze a variety of information, to quickly draw relevant conclusions, and to summarize and communicate results effectively.

• Intellectual curiosity and strong analytic and problem-solving skills.

• Excellent communication and interpersonal skills.

• Attention to detail and accuracy, sound judgment.

• Ability to work both independently and as part of a larger team.

• Ability to interface comfortably and effectively with all levels within the organization and external customers.

Preferred:

Basic technical knowledge base should include:

• Data analysis experience. Comfort with working with large datasets.

• Strong Excel skills and experience using advanced formulas and VBA use

• Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python

• Experience with visualization tools such as Tableau, Qlik Sense, Power BI, etc.

Additional preferred skill set includes:

• Experience with Selligent Marketing Cloud as a programmer/developer

• Experience with Salesforce as an admin/developer