Senior Digital Analyst - Campaign

• Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team
• Lead client communication, providing clients with periodic updates and insights / recommendations through appropriate channels (conference calls / emails)
• Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner
• Provide technical and business leadership/ mentorship to junior team members; groom them for additional responsibilities
• Develop approach for complex analyses and gain consensus with stakeholders internally and externally. Employ advanced analytics approaches like predictive and prescriptive statistics, machine learning and linear programming / optimization depending on the client requirements and data availability
• Handle small and large datasets on projects efficiently and figure out the right technology to use for processing the data and delivering the analyses. Be a champion on analytics technologies within the team.
• Develop expertise in pharma and healthcare datasets and be a champion within the team
• Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools
• Meaningfully communicate insights and information to a broad group of stakeholders through excellent oral and written communication

Desired Profile / Skills

• 3+ years of overall experience with a reasonable exposure to delivering analytics projects
• Experience in pharma commercial analytics is a must have, other industry experience a plus
• Should have experience in leading / guiding small to large teams
• Strong presentation and client communication skills
• Excellent analytical and problem-solving skills
• Ability to work through complexity and ambiguity
• Experience in handling small and large datasets through Excel/VBA, MS Access / SQL Server, Python
• Experience in data visualization platforms like Tableau, Power BI, Qlik View
• Knowledge of basic statistics and ability to run predictive / machine learning models in R/Python
• Experience in solving advanced analytics problems like customer segmentation, ROI / impact analytics, multichannel marketing modeling is a plus