Location: remote or Branchburg, NJ
Pay: $50 - $70 per hour
Type: 9 month contract to start
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