Job Title : Data Science Business Analyst
Location : Branchburg, NJ 08876 (hybrid)
Duration : Until 03 / 31 / 2027
Role Summary
- A hybrid role combining data science, business process management, and project management.
- Responsible for extracting data insights to optimize business processes and lead data-driven projects from start to finish.
Key Responsibilities
1. Data Analysis & Modeling
Collect, clean, and prepare large datasets for analysis.Develop statistical models, machine learning algorithms, and predictive analytics.Create data visualizations to communicate findings effectively to stakeholders.2. Business Process Optimization
Analyze current business processes to identify opportunities for data-driven improvements.Design and implement process improvements, workflow optimization, and automation.Collaborate with cross-functional teams to integrate new data-driven solutions.3. Project Management
Define project scope, timelines, and deliverables.Manage project execution, track progress, and mitigate potential risks.Lead project teams through the entire data analysis lifecycleRequired Skills & Qualifications
A. Technical Skills
Proficiency in Confluence.Expertise in machine learning, statistics, and data mining.Familiarity with data visualization tools (e.g., Tableau, Power BI).B. Business Acumen
Understanding of business operations, KPIs, and strategic goals.Ability to translate complex data into actionable business recommendations.Knowledge of Lean Six Sigma and Agile methodologies.C. General Skills
Strong communication and stakeholder management skills.Proven project management experience with the ability to handle multiple projects simultaneously.Education & Experience
Education
Master's degree in Data Science, Statistics, Business Analytics, or a related field is required.Experience
Proven experience in data analysis, modeling, and visualization.Experience in project management and leading cross-functional teams.Knowledge of business process management methodologies.Technical Skills
High level of proficiency with Confluence.Expertise in machine learning algorithms, statistical methods, and data mining techniquesFamiliarity with data visualization tools and platformsAbility to translate data insights into actionable business recommendationsExpertise in lean six sigma and agile ways of workingStrong communication skills to effectively present findings to diverse stakeholdersKnowledge of business process management methodologiesExperience in project management, including leading cross-functional teams