
Analytical Strategist
15 hours ago
Job Summary
We are seeking an experienced and analytical professional to lead projects that quantify the impact of marketing and business activities on key performance metrics such as sales and ROI. This role involves applying statistical and econometric methods to deliver actionable insights, automate solutions, and support strategic decision-making across various industries.
- Lead day-to-day client data processing and project delivery in engagements related to Marketing Mix Modeling.
- Apply econometric modeling techniques to assess the effectiveness of marketing and promotional campaigns.
- Interpret complex data and analytical results to generate actionable business recommendations.
- Present findings through well-structured PowerPoint presentations tailored to client audiences.
- Collaborate with cross-functional teams, including data scientists, consultants, and clients.
- Perform research and development as needed to improve modeling accuracy or explore new techniques.
- Automate repetitive tasks and data workflows using tools like R, Python, or VBA.
- Support the development and implementation of advanced analytical frameworks and custom models.
- Ensure quality and consistency in deliverables across projects and industries.
Desired Qualifications
- Education: Graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field (M.Sc. or MBA preferred).
- Experience: Approximately 2-4 years of relevant experience, including hands-on work in Marketing Mix Modeling.
- Strong understanding of econometric modeling and statistical analysis.
- Proficiency in programming languages such as R, Python, or SAS.
- Advanced skills in Excel (macros, pivot tables, complex formulas) and PowerPoint.
- Experience with automation tools (VBA/R/Python) to streamline processes.
- Exceptional verbal and written communication skills.
- Strong project management, problem-solving ability, and a proactive attitude.
- Ability to work independently as well as in a team-oriented environment.
- Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) is beneficial.
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