Analytics specialist in pharma

The Analytics Specialist is responsible for advanced analytics, experimentation design, segmentation validation and attribution measurement to support GenAI-enabled omnichannel marketing (OCM 3.0). The role leverages data from Salesforce Marketing Cloud (SFMC), GBQ, CRM, RCPA, and sales systems to generate predictive insights, design statistically robust experiments (A/B, MVT), build HCP clustering models and quantify OCM-driven uplift using advanced statistical and machine learning techniques.

• Perform campaign and content performance analytics, tracking key KPIs across channels and journeys
• Validate advanced HCP segmentation and clustering using machine learning and advanced analytics techniques
• Design and support experimentation initiatives (A/B testing, multivariate testing), including hypothesis definition, sample sizing and statistical validation
• Identify key dimensions and levels to be tested in experimentation (content, channel, cadence, CTA) and generate actionable insights from test results
• Develop attribution models to quantify OCM impact (e.g., regression, matched-market design, causal inference methods)
• Build, update, and maintain dashboards and reports using tools such as Power BI and Tableau
• Retrieve and integrate data from GBQ, SFMC, Bynder (DAM) and other relevant data sources
• Link analytics findings back into SFMC journeys, decisioning logic and content orchestration in partnership with orchestration teams
• Translate analytical findings into clear, actionable insights and recommendations for Brand and OCM teams

• 3–5 years of experience in advanced analytics, marketing analytics, digital analytics, or commercial analytics roles in Pharma, Life Sciences, Biotech, Medical Devices (Primary industries) , OR
• Proficiency in Python or R for statistical analysis and modeling
• Exposure to machine learning techniques for segmentation or targeting FMCG, Banking or similar industries (Alternate industries)
• Exposure to experimentation frameworks (A/B, MVT) and performance measurement
• Experience in handling data from web analytics platforms like MixPanel, Google Analytics
• Bachelor’s degree in Statistics, Data Science, Engineering, Business or related field
• Desired experience level: 3-6 years
• Strong proficiency in statistical modeling and machine learning techniques
• Ability to design and interpret multivariate experiments with statistical rigor
• Strong proficiency in SQL and Python/R for data manipulation and modeling
• Ability to work with large, multi-source datasets across marketing platforms
• Proficiency in analytics tools like Power BI and Tableau
• Understanding of digital engagement metrics (opens, clicks, conversions, journey progression)
• Strong communication skills to clearly present insights to non-technical stakeholders
• Comfort working in fast-paced, high-volume campaign environments
• Будет плюсом: Experience working with marketing platforms such as SFMC and DAM systems (e.g., Bynder); Experience with campaign and content performance analysis in digital or omnichannel environments

• Условий в вакансии нет