Senior Associate, Data & Technology

We're Hiring: Senior Associate – FFE at Chryselys
Job Type: Full-time
Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.
Technology - Our solutions are Business centric built on cloud native technologies.
We are seeking analytics professional with strong experience in Segmentation & Targeting (S&T) , Call Planning , and broader Field Force Effectiveness (FFE) domains. The candidate will be responsible for designing, executing, and optimizing field deployment strategies using advanced analytics and business insights. Exposure to data science techniques such as clustering, predictive modeling, or optimization is a plus.
Design and implement Segmentation & Targeting models for sales and medical field teams based on physician potential, prescribing behavior, and market dynamics.
Develop and maintain Call Planning frameworks incorporating factors like reach, frequency, workload capacity, and geographic constraints.
Support Field Force Sizing, Alignment, and Territory Optimization initiatives.
Partner with business stakeholders to translate brand and field objectives into actionable territory and call plan strategies.
Leverage analytics tools to generate insights on call plan adherence, customer engagement, and productivity.
Collaborate with data engineering teams to manage large datasets (sales, affiliations, call activity, claims, etc.).
Prepare visualizations and dashboards (Power BI / Tableau) (optional but good to have) for field and leadership teams.
Apply data science techniques (optional but good to have) such as clustering, predictive analytics, or optimization models to enhance targeting and call planning processes.
Good understanding of commercial operations and analytics as a domain
Hands-on experience with tools like Qlik/Power BI/Tableau and technologies like Python/SQL
Experience in working with pharma clients across US and Europe
Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related field with a strong academic record.
Experience: 2-5 years of experience in Field Force Excellence, particularly in the pharmaceutical or healthcare industry, working with key datasets
Solid understanding of pharma data sources – Sales (IQVIA, internal), affiliations, call activity, and customer master data.
Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3)
Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
Strong analytical skills, with experience in analogue analysis
Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
We celebrate diversity and are committed to creating an inclusive environment for all employees.