
Chief Analytics Innovation Officer
3 days ago
As a Business Insights Strategist, you will play a pivotal role in delivering projects that align with our marketing analytics objectives. Your responsibilities will include but are not limited to:
- Developing and executing comprehensive project plans that meet internal customer expectations.
- Building strong relationships with stakeholders to drive excellent customer satisfaction.
- Supporting exploratory research to identify new areas of application for advanced analytics in providing improved decision-making support.
- Delivering services through structured project management approaches with appropriate documentation and communication throughout the delivery of services.
- Collaborating with team leaders to recruit and onboard new associates within the organization.
- Participating in knowledge-sharing sessions to enable growth and improve the quality of deliverables across the function.
What You Will Bring to the Role:
- Deriving impactful business strategies by defining clear category objectives and working with analytical data, business partners, and market expertise.
- Aligning strategies to measurable targets and clearly conveying them to the organization.
- Having strong quantitative and systems background, with strong analytical thinking and problem-solving approach.
- Being able to understand new data sources in a short timeframe and embed them into standard analyses.
- Having good understanding of pharmaceutical domain and data, as well as strong partner leadership skills.
- Having worked in an international/global company with exposure to working in cross-cultural environment.
- Being able to work with multiple partners and having strong business results-focus.
Desirable Requirements:
- University/advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, or Operations Research.
- Min 6+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry.
- Statistical Modeling/Machine Learning techniques like Regression (especially GLM, non-linear, etc.) and experience in any one of R or Python and exposure to SAS and SQL.
Benefits:
- Opportunity to work with cutting-edge technology and tools.
- Collaborative and dynamic work environment.
- Chance to make a meaningful impact on business outcomes.
Others:
- Hands-on experience with Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting.
- Project Management skills and solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access).
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