Senior Business Intelligence Specialist
6 days ago
We are seeking a highly skilled Senior Data Scientist/Data Analyst to join our team at Manogna IT Services Private Limited. As a key member of our analytics team, you will be responsible for designing and implementing advanced data models, statistical procedures, and machine learning algorithms to drive business insights and inform strategic decisions.
Key Responsibilities:- Data Analysis and Modeling: Design and develop complex data models, statistical procedures, and machine learning algorithms to analyze large and disparate datasets.
- Business Partnerships: Collaborate with cross-functional business partners to understand business needs and develop data-driven solutions to drive business growth.
- Data Visualization: Develop and maintain effective data visualizations to communicate insights and recommendations to stakeholders.
- Expertise: Stay up-to-date with industry trends and emerging technologies, and apply expertise to drive innovation and improvement in data analysis and modeling.
- Education: Bachelor's degree in a quantitative field, such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science. An advanced degree is preferred.
- Experience: 2+ years of experience in pharmaceutical/biotech/healthcare analytics or secondary data analysis. 5+ years of experience in applying advanced methods and statistical procedures on large and disparate datasets.
- Skills: Proficiency in PySpark, Python, R, SQL, and data visualization tools such as PowerBI, MicroStrategy, Tableau, Qlikview, or D3js. Working knowledge of platforms like DataBricks and experience with MS Office products, including Excel and PowerPoint.
- Leadership Skills: Strong leadership and interpersonal skills with the ability to work collaboratively with business leaders and cross-functional partners.
- Communication Skills: Strong communication and influencing skills with the ability to develop and present effective analyses and recommendations.
- Expertise: Expertise in managing and analyzing large, secondary transactional databases, and experience with IQVIA data sets.
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