- 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
- Robust 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