Job Description :
- Experienced analytics consulting professional, who can handle a breadth of commercial analytics projects, specifically marketing mix, customer and brand performance analytics projects with proficiency
- Leverage popular analytics tools (Python/R) and statistical / data science packages to deliver a variety of analytics projects
Types of advanced analytics problems may include:
- Customer scoring & affinity modeling
- Customer Segmentation - basic and advanced methodologies
- Promotion Response & Marketing Mix Modeling
- Customer journey and NBA
- Sales Force Analytics/SFE
- Deliver various types of analytics projects, ranging from data wrangling, AI/ML, business intelligence, ad-hoc analytics to delivering complex business operations projects on an ongoing basis, depending on the needs of the client
- Provide technical and business leadership/ mentorship to junior team members; groom them for additional responsibilities
- Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools
- Lead client communication, providing clients with periodic updates and insights / recommendations through appropriate channels (conference calls / emails)
- Meaningfully communicate insights and information to a broad group of stakeholders through excellent oral and written communication
- 8+ years of experience
- Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, Python/R
- Knowledge of statistics and ability to run predictive / machine learning models in Python/R
- Ability to automate SFE dashboards / processes per client requirements in Excel / PPT or other platforms
- Experience in data visualization platforms like Tableau, Power BI, Qlik View (nice to have)
- Ability to perform advance analytics analyses such as, regression analysis, clustering (K-Mean, Random-forest, Deciling etc.), time series modeling etc.
- Experience in pharmaceutical commercial analytics is a must have
- Strong presentation and communication skills
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