Senior Analyst, Decision Sciences

CMI Media Group

3d • $50,000 - $90,000

About The Position

The Senior Analyst, Decision Sciences turns complex data and statistical modeling into actionable marketing strategies for clients. The role measures promotional channel effectiveness, calculates marketing ROI, and optimizes marketing mix strategies. It combines statistical rigor with the ability to communicate quantitative insights and their business impact.

The analyst accesses, validates, analyzes, and interprets complex datasets; designs documented and efficient data pipelines; develops predictive and explanatory models; and communicates findings through narratives, dashboards, and recommendations. The role also contributes to analytical methods and tools and helps mentor team members. Projects are high visibility and can directly influence client growth and strategic investment.

Requirements

• 3–5 years of experience as an analyst focused on custom analytics, predictive modeling, or custom metric development.
• Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
• Hands-on coding experience with statistical tools such as Python, R, SAS, or SPSS.
• Strong data visualization expertise using Tableau or Microsoft Power BI.
• Advanced Excel skills, including complex formulas, pivot tables, and charting.
• Knowledge of data transformation, regression analysis, correlation, cross-tabulation, ANOVA/ANCOVA, and survey design and analysis.
• Practical familiarity with one or more advanced techniques, such as Marketing Mix Modeling (GLM), decision trees (CART/CHAID), cluster or discriminant analysis, time-series forecasting (ARIMA, exponential smoothing), or machine learning/text analytics.
• Ability to communicate complex quantitative concepts clearly, precisely, and confidently to cross-functional partners and external clients.
• Curious, detail-oriented, self-directed mindset and commitment to high integrity and data ethics.

Nice To Haves

• Master’s degree.
• Collaborative coding and macro/function development experience.
• VBA experience.
• Experience in the pharmaceutical or healthcare industry.
• Familiarity with healthcare data assets such as IMS/IQVIA health data.

Responsibilities

• Access, validate, analyze, and interpret complex datasets to address promotional effectiveness, attribution, and marketing mix optimization.
• Design clean, well-documented, efficient data pipelines; gather requirements; verify data integrity; and work with Data Governance on data security and confidentiality.
• Build and maintain predictive and explanatory statistical models to identify patterns, trends, and anomalies.
• Explain statistical outputs and modeling methodologies through narratives, dashboards, and recommendations for technical and non-technical stakeholders.
• Contribute to the analytical toolbox and explore emerging methodologies.
• Help mentor team members in statistical techniques and interpretation.

Benefits

• Competitive compensation.
• Comprehensive benefits package.
• Opportunities for career advancement.
• Collaborative, continuous-learning culture with exposure to modern tools and advanced methodologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior