Data Science Business Analyst

Job Description:

Pay Range: $71.08hr- $76.08hr

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.
• nalyze 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 And 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.
• bility 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.
• bility 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.