What are the responsibilities and job description for the Data Science Business Analyst position at Magnit?
This is a contract and onsite role through Magnit Global with one of the world’s leading healthcare companies. This is NOT a C2C opportunity and is on W-2.
Client Details
Job Position : Data Science Business Analyst
Client : Roche
Location : Branchburg, NJ 08876
Duration : 9 Months (Possibilities of Extensions)
Job Description:
A Data Science Business Analyst is a role combining the skills of a data scientist, business process management expertise, and project management capabilities, responsible for extracting actionable insights from data to optimize business processes, leading data-driven projects from conception to implementation while aligning with strategic goals.
Key Responsibilities:
Data Analysis and Modeling:
- Collect, clean, and prepare large datasets from diverse sources for analysis.
- Develop and implement statistical models, machine learning algorithms, and predictive analytics to identify trends and patterns.
- Utilize data visualization techniques to effectively communicate findings to stakeholders.
Business Process Optimization:
- Analyze current business processes to identify areas for improvement through data-driven insights.
- Design and implement process improvements based on data analysis, including workflow optimization and automation.
- Collaborate with cross-functional teams to ensure smooth integration of data-driven solutions into existing processes.
Project Management:
- Define project scope, timelines, and deliverables for data-driven initiatives.
- Manage project execution, track progress, and identify potential risks.
- Lead project teams through the data analysis lifecycle, ensuring timely and quality results.
Required Skills:
Technical Skills:
- Proficiency in programming languages like Python, R, SQL for data manipulation and analysis.
- Expertise in machine learning algorithms, statistical methods, and data mining techniques
- Familiarity with data visualization tools and platforms
Business Acumen:
- Understanding of business operations, key performance indicators (KPIs) and OKRs, and strategic goals
- Ability to translate data insights into actionable business recommendations
- Expertise in lean six sigma and agile ways of working
- Strong communication skills to effectively present findings to diverse stakeholders
Project Management Skills:
- Proven experience in project planning, execution, and monitoring
- Ability to manage multiple projects simultaneously and meet deadlines
- Strong stakeholder management and collaboration skills .
Education and Experience:
- Master’s degree in data science, Statistics, Business Analytics, or a related field
- Proven experience in data analysis, modeling, and visualization
- Knowledge of business process management methodologies.
- Experience in project management, including leading cross-functional teams
Salary : $75
