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Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst with a contract length of "unknown," offering a pay rate of "unknown." Key skills include advanced analytics, customer segmentation, and proficiency in R, Python, SQL, and SAS. Requires 5-7 years of relevant experience and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 8, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Forecasting #R #SQL (Structured Query Language) #Strategy #Data Analysis #Python #SAS #Datasets #Customer Segmentation #Predictive Modeling #Business Analysis
Role description
Summary:
The Business Analyst supports multiple customer groups and therapeutic areas by leveraging advanced statistical and analytical methodologies to measure marketing performance and optimize strategic decision-making. The role involves using sophisticated techniques—such as marketing mix modeling, ROI analysis, customer segmentation, and predictive modeling—to assess and enhance marketing effectiveness across various channels, including digital, virtual, and in-person engagement. The position requires strong collaboration with cross-functional teams to ensure data-driven insights inform business strategy, resource allocation, and brand planning.
Key Responsibilities:
• Conduct advanced analytics to evaluate promotional strategies, marketing ROI, and resource allocation across multiple customer and digital channels.
• Partner with Marketing and Sales teams to develop and align business tactics that support overall brand and commercial objectives.
• Generate actionable insights from complex data sets to guide decision-making and improve marketing performance.
• Integrate findings from various sources—such as marketing research, campaign data, and forecasting—into clear, strategic recommendations.
• Collaborate with internal stakeholders to communicate analytical results effectively and ensure insights are applied to planning and execution.
• Build expertise in analytical methodologies and digital analytics, sharing best practices and supporting continuous improvement across teams.
• Support the evolution of business processes by applying data-driven solutions to enhance promotional planning and execution.
Qualifications:
• Education:
• Bachelor’s degree with at least 7 years of relevant analytical experience, or
• Master’s degree with at least 5 years of experience in data analysis and statistical modeling.
• Proven experience analyzing large datasets (e.g., de-identified patient claims, marketing campaign data).
• Strong proficiency in advanced analytics tools such as R, Python, SAS, SQL, Excel, and PowerPoint.
• Demonstrated ability to apply multivariate and promotional responsiveness techniques.
• Experience with digital marketing analytics (e.g., email, banner, mobile, and alerts) and campaign optimization.
• Strong communication, presentation, and cross-functional collaboration skills.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Willingness to work standard business hours aligned with the EST time zone.
Summary:
The Business Analyst supports multiple customer groups and therapeutic areas by leveraging advanced statistical and analytical methodologies to measure marketing performance and optimize strategic decision-making. The role involves using sophisticated techniques—such as marketing mix modeling, ROI analysis, customer segmentation, and predictive modeling—to assess and enhance marketing effectiveness across various channels, including digital, virtual, and in-person engagement. The position requires strong collaboration with cross-functional teams to ensure data-driven insights inform business strategy, resource allocation, and brand planning.
Key Responsibilities:
• Conduct advanced analytics to evaluate promotional strategies, marketing ROI, and resource allocation across multiple customer and digital channels.
• Partner with Marketing and Sales teams to develop and align business tactics that support overall brand and commercial objectives.
• Generate actionable insights from complex data sets to guide decision-making and improve marketing performance.
• Integrate findings from various sources—such as marketing research, campaign data, and forecasting—into clear, strategic recommendations.
• Collaborate with internal stakeholders to communicate analytical results effectively and ensure insights are applied to planning and execution.
• Build expertise in analytical methodologies and digital analytics, sharing best practices and supporting continuous improvement across teams.
• Support the evolution of business processes by applying data-driven solutions to enhance promotional planning and execution.
Qualifications:
• Education:
• Bachelor’s degree with at least 7 years of relevant analytical experience, or
• Master’s degree with at least 5 years of experience in data analysis and statistical modeling.
• Proven experience analyzing large datasets (e.g., de-identified patient claims, marketing campaign data).
• Strong proficiency in advanced analytics tools such as R, Python, SAS, SQL, Excel, and PowerPoint.
• Demonstrated ability to apply multivariate and promotional responsiveness techniques.
• Experience with digital marketing analytics (e.g., email, banner, mobile, and alerts) and campaign optimization.
• Strong communication, presentation, and cross-functional collaboration skills.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Willingness to work standard business hours aligned with the EST time zone.
