SR. IT Business Data Analyst (Remote)
AbbVieAbout the role
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Job Description
The Infrastructure Data Analytics function is an innovative program designed to promote data-driven decision-making and address advanced technology challenges for AbbVie employees. As an Sr. IT Business Data Analyst, you'll have the unique opportunity to explore, analyze, and visualize complex data from diverse sources to identify issues and trends that drive transformation across our global technical landscape. You'll work closely with system owners and business stakeholders to identify areas for improvement, offer fresh perspectives, and generate new business insights. The ideal candidate values simplicity, agility, and experimentation in problem-solving, excels in high-performing teams, and possesses the determination to achieve objectives efficiently using statistical analysis.
Responsibilities:
- Conceive, design and implement new business technology solutions that solve significant technology or business problems through integration, visualization, and analysis of large and complex data.
- Demonstrate the ability to resolve key project hurdles, identify trends, conduct cost analysis, and assumptions by effectively utilizing available information and technical expertise.
- Demonstrate high proficiency across a wide range of technologies related to storage, transfer, integration, visualization, and analysis of large and complex data sets. Broad expertise in software development, data warehousing, statistics, and machine learning.
- Demonstrate deep knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions
- Highly autonomous and productive in performing activities, requiring only mi
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