Aequor
Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst in Branchburg, NJ (hybrid) until 03/31/2027, offering expertise in data science, project management, and process optimization. Key skills include machine learning, data visualization, and lean six sigma methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
October 25, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Somerville, NJ
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🧠 - Skills detailed
#Visualization #Data Analysis #"ETL (Extract #Transform #Load)" #Automation #Project Management #Data Mining #Lean #ML (Machine Learning) #Business Analysis #Agile #Data Science
Role description
Title: Data Science Business Analyst
Location:Branchburg, NJ 08876 (hybrid)
Duration:Until 03/31/2027
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
Design and implement process improvements based on data analysis, including workflow optimization and automation.
Technical Skills:
High level of proficiency with Confluence.
Expertise in machine learning algorithms, statistical methods, and data mining techniques
Familiarity with data visualization tools and platforms
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
Knowledge of business process management methodologies
Experience in project management, including leading cross-functional teams
Title: Data Science Business Analyst
Location:Branchburg, NJ 08876 (hybrid)
Duration:Until 03/31/2027
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
Design and implement process improvements based on data analysis, including workflow optimization and automation.
Technical Skills:
High level of proficiency with Confluence.
Expertise in machine learning algorithms, statistical methods, and data mining techniques
Familiarity with data visualization tools and platforms
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
Knowledge of business process management methodologies
Experience in project management, including leading cross-functional teams
