Chryselys - Consultant - Insights & Analytics - Field Force Operations (5-7 yrs)

- As a Field Force Operations Consultant at Chryselys, you will leverage your expertise in commercial model design, sales force sizing, territory alignment, and deployment to optimize field force operations and processes.

- You will work closely with cross-functional teams, including client stakeholders and analytics experts, to define execution KPIs, maximize sales impact, and deliver actionable insights through advanced reporting and dashboards.

- Your role will also involve segmentation and targeting, incentive compensation processes, and planning for call activities and non-personal promotions.

- With hands-on experience in tools like Qlik, Power BI, and Tableau, along with technologies such as SQL, you will ensure impactful storytelling and effective stakeholder management while supporting clients

Key Responsibilities:

- Capabilities and experience in field force operations and processes related to commercial model design and structure, sales force sizing and optimization, Territory alignment and deployment

- Good understanding of commercial operations and analytics as a domain

- Expertise with SF/FF datasets for creating dashboards and reports for multiple user personas

- Ability to define FF execution and measurement KPIs to maximize sales impact

- Understanding and expertise in call activity planning, non-personal promotions

- Good knowledge of segmentation & targeting and incentive compensation processes

- 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: 5-7 years of experience in field force operations, particularly in the pharmaceutical or healthcare industry, working with key datasets

Skills:

- 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.