Associate Director – Field Force Analytics
Cristcot
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
PythonSQLTableau
About the role
- Manage field force data sources, ensure high data quality, lead data analytics to support the Cristcot field teams, and provide field insights to the home office for performance management.
- Translate business questions and business needs into data analytics approaches and deliverables that render actionable recommendations for the field to drive brand performance.
- Collaborate with cross-functional team members to deliver clear and actionable insights that maximize field force performance and business impact.
- Provide cutting-edge insights into physicians and market access by using secondary data (e.g., claims data, prescription data, and market access data) as well as internal data sets (e.g., field force promotional data, medical affairs data, CRM, and other data sources).
- Work closely with Field Teams, Commercial Operations, Market Access, and Marketing teams to analyze various data sources within compliance standards to provide data-driven insights that inform field-based strategies and executional excellence.
- Collaborate with data science and market research colleagues to create/leverage leading-edge capabilities, streamlined processes, and inspiring deliverables to empower field stakeholders with customer and market insights that drive field force performance (e.g., HCP prescribing for field sales, medical affairs transactional information, among other compliant data analytics processes).
- Identify, explore, test, and implement innovative field data analytics capabilities, platforms, tools, and processes to stay ahead of the competition and to deliver faster business impact (i.e., Artificial Intelligence, data modeling, prediction algorithms, micro-targeting, and others).
Requirements
- Advanced degree preferred (master’s or Ph.D.), but no less than bachelor’s degree in data science, business, psychology, statistics, economics, mathematics, life sciences, computer science, or a related field that requires data analytics skills.
- 5+ years of experience in pharmaceutical data science, data/brand analytics, field force analytics, or a related field.
- 3+ years of experience in the pharmaceutical or life sciences industry preferred.
- Proficiency in programming languages (i.e., SQL, Python, R) and experience with business intelligence tools (i.e., Tableau, Power BI, Zoho Analytics, others).
- Experience with pharmaceutical data sources such as IQVIA, Komodo, Symphony Health, MMIT, and other secondary data sources.
- Knowledge of and experience with longitudinal patient data and claims data preferred.
- Demonstrated success in leading and collaborating with data analytics agencies that service the pharmaceutical or biotech industries.
- Excellent communication, project management, and storytelling skills to translate data analytics and insights into actionable business recommendations.
- Ability to travel up to 10-15%.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsdata modelingprediction algorithmsmicro-targetingprogramming languagesSQLPythonRlongitudinal patient dataclaims data
Soft skills
communicationproject managementstorytellingcollaborationleadershipanalytical thinkingproblem-solvingactionable recommendationsinsight generationperformance management