Pharma Marketing Analytics Lead: ROI & Forecasting

Lancesoft; Ridgefield (CT); On-site; USD 90,000 - 160,000; Full time

Job summary

Lancesoft is seeking a Business Analytics professional in the United States to support brand planning and promotional strategy through advanced analytics. The role requires expertise in marketing mix modeling, ROI analyses, and predictive modeling, with a strong grasp of pharma data sources.

The successful candidate will collaborate with Marketing and Sales, translate analytics into actionable plans, and contribute to forecasting processes and digital analytics initiatives.

Qualifications

• Bachelor's degree with analytics experience or an advanced degree is preferred.
• Experience analyzing large deidentified data sets in pharmaceutical analytics is preferred.
• Proficiency in developing and communicating analytical plans and results.
• Proficiency in R/Python and SAS; SQL and Excel for data extraction and visualization.

Responsibilities

• Conducts advanced analytics in support of brand planning and promotional resource allocation.
• Liaises between Marketing and Sales to develop business tactics and strategies.
• Executes departmental procedures and ensures marketing strategy is integrated with sales plans for in-person and digital channels.
• Communicates analytical results to internal customers and shares knowledge of methodologies and vendors.

Skills

Advanced analytics

Marketing mix modeling

ROI analysis

Predictive modeling

Customer segmentation

Digital analytics

R/Python

SAS

SQL

Excel

Education

Bachelor's degree

Master's degree

Tools

SQL

R

Python

SAS

Excel

PowerPoint

Job description

Lancesoft is seeking a Business Analytics professional in the United States to support brand planning and promotional strategy through advanced analytics. The role requires expertise in marketing mix modeling, ROI analyses, and predictive modeling, with a strong grasp of pharma data sources.

The successful candidate will collaborate with Marketing and Sales, translate analytics into actionable plans, and contribute to forecasting processes and digital analytics initiatives.