Role Overview
We are seeking an analytics professional with a strong background in APLD (Anonymized Patient-Level Data) and
expertise in Field Force Effectiveness (FFE). The ideal candidate should have
hands-on experience in APLD data handling and analysis, and
practical project experience in at least one FFE domain area
Segmentation & Targeting (S&T), Sizing, Call Plan Alignment, IC or Promo Mix Optimization.
The candidate will play a key role in designing and executing analytical solutions that combine patient-level and field-force data to generate actionable business insights.
Key Responsibilities
- Manage and analyze APLD datasets to identify patient journeys, treatment switches, and brand performance drivers.
- Integrate APLD, sales, and field activity data to support brand and field performance analytics.
- Design and implement Segmentation & Targeting frameworks based on physician potential, patient mix, and market dynamics.
- Support Field Force Sizing, Call Planning, and Alignment initiatives to optimize field deployment.
- Contribute to Promo Mix and resource optimization projects leveraging patient and HCP-level insights.
- Collaborate with business stakeholders to translate brand strategies into actionable, data-driven recommendations.
- Partner with data engineering teams to manage large, complex datasets (sales, call activity, affiliations, claims, APLD).
- Prepare dashboards and visualization reports (Power BI / Tableau) for field and leadership teams.
- Document methodologies, maintain QC standards, and share best practices across teams.
- Stakeholder management abilities and storytelling skills
- Experience in working with pharma clients across US and Europe
What You Bring
- Education: 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
- Skills:
- 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.
- A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.
How To Apply
Ready to make an impact Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
Please include your resume and a cover letter detailing why you're the perfect fit for this role.
Equal Employment Opportunity
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Connect With Us
Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
Discover more about our team and culture: www.chryselys.com
