Senior Business Analyst
6 days ago
Role Overview
\This Senior Analyst, Data Intelligence position will be responsible for leading data analysis efforts to generate insights that drive data transformation initiatives and enhance business intelligence across the organization.
\Responsibilities
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- Leading the analysis of complex datasets using statistical methods and advanced analytics to identify trends, patterns, and insights that influence strategic business decisions.\
- Collaborating with multi-functional teams to define requirements and understand data needs, ensuring alignment with business objectives and driving impactful data initiatives.\
- Designing, developing, and optimizing business intelligence dashboards and reporting tools that deliver clear and actionable insights to customers.\
- Supporting data pipelines activities to ensure data integrity, availability, and usability across the organization.\
- Monitoring and reporting key indicators to ensure data reliability and integrity.\
- Applying data science techniques such as predictive modeling and machine learning to advance analytical capabilities and provide innovative solutions to business challenges.\
- Developing visualizations to communicate effectively with customers, simplifying complex information for diverse audiences.\
- Staying abreast of industry trends and emerging technologies related to data analytics, data science, and business intelligence, assessing their applicability to enhance data intelligence.\
- Collaborating with the Data and AI team on critical initiatives that enhance organizational data intelligence and analytics capabilities.\
Qualifications
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- Bachelor's degree or equivalent experience in Data Science, Computer Science, Engineering, Statistics, or a related field.\
- Demonstrable experience (typically 5+ years) in data analysis, data science, advanced analytics, or a closely related field.\
- Expertise in business intelligence tools such as Tableau, Power BI, and advanced data visualization techniques.\
- Proficient in SQL and other data manipulation tools, with strong analytical skills and experience in statistical analysis.\
- Solid background in advanced analysis, including experience with predictive modeling, machine learning frameworks such as TensorFlow, Scikit-learn.\
- Solid understanding of data engineering practices, ETL processes, and data warehousing concepts.\
- Strong problem-solving skills with a focus on deriving actionable insights from complex datasets.\
- Excellent communication and presentation skills, capable of conveying technical information effectively to both technical and non-technical audiences.\
- Demonstrable ability to work collaboratively within a team, manage multiple projects, and thrive in a fast-paced environment.\
- Project management and agile methodologies are a must.\
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About Johnson & Johnson
\We are dedicated to improving the health and well-being of people around the world through our commitment to innovation, quality, safety, and sustainability.
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