

Data Science Business Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Business Analyst for a 9-month onsite contract in Branchburg, NJ, offering a competitive pay rate. Requires proficiency in Python, R, SQL, machine learning, and project management, along with a Master's degree and relevant experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 3, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Branchburg, NJ
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π§ - Skills detailed
#Programming #R #ML (Machine Learning) #Visualization #Project Management #Automation #Datasets #Statistics #Business Analysis #"ETL (Extract #Transform #Load)" #Data Mining #Data Analysis #SQL (Structured Query Language) #Monitoring #Agile #Python #Lean #Data Science #Data Manipulation
Role description
Data Science Business Analyst
Branchburg, NJ
9 month contract with potential to extend but not guaranteed.
Onsite. Core business hours between 9-3 so if they want to start early or later as long as they get their 8 hours.
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:
β’ Proficiency in programming languages like Python, R, SQL for data manipulation and analysis.
β’ Expertise in machine learning algorithms, statistical methods, and data mining techniques
β’ Familiarity with data visualization tools and platforms
β’ Business Acumen:
β’ Understanding of business operations, key performance indicators (KPIs) and OKRs, and strategic goals
β’ Ability to translate data insights into actionable business recommendations
β’ Expertise in lean six sigma and agile ways of working
β’ Strong communication skills to effectively present findings to diverse stakeholders
β’ Project Management Skills:
β’ Proven experience in project planning, execution, and monitoring
β’ Ability to manage multiple projects simultaneously and meet deadlines
β’ 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 Job #: 25-31700
Data Science Business Analyst
Branchburg, NJ
9 month contract with potential to extend but not guaranteed.
Onsite. Core business hours between 9-3 so if they want to start early or later as long as they get their 8 hours.
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:
β’ Proficiency in programming languages like Python, R, SQL for data manipulation and analysis.
β’ Expertise in machine learning algorithms, statistical methods, and data mining techniques
β’ Familiarity with data visualization tools and platforms
β’ Business Acumen:
β’ Understanding of business operations, key performance indicators (KPIs) and OKRs, and strategic goals
β’ Ability to translate data insights into actionable business recommendations
β’ Expertise in lean six sigma and agile ways of working
β’ Strong communication skills to effectively present findings to diverse stakeholders
β’ Project Management Skills:
β’ Proven experience in project planning, execution, and monitoring
β’ Ability to manage multiple projects simultaneously and meet deadlines
β’ 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 Job #: 25-31700