Senior Business Analyst (Statistical Modelling)

About the Role

We are looking for a highly analytical and statistically proficient Senior Business Analyst to lead the design, development, and enhancement of statistical models that project pharmaceutical market sales from panel-based distributor data. This role is critical to ensuring the accuracy, reliability, and credibility of market measurement solutions used by pharmaceutical companies for strategic decision-making.

The ideal candidate combines strong expertise in statistics, sampling theory, econometrics, and data analytics with deep knowledge of pharmaceutical distribution and market intelligence. The role requires the ability to translate complex statistical methodologies into practical business solutions while collaborating with cross-functional teams to continuously improve projection accuracy and analytical capabilities.

Key Responsibilities

• Design, develop, and enhance statistical projection methodologies for estimating the total pharmaceutical market from panel-based distributor data.
• Develop and optimize weighting methodologies, expansion factors, calibration techniques, and universe estimation models to improve projection accuracy.
• Evaluate panel representativeness and recommend enhancements to panel design and optimization.
• Apply statistical techniques to measure sampling error, confidence intervals, variance, and projection reliability.
• Build and validate regression, forecasting, and estimation models to improve market projections across geographies, therapeutic segments, products, and channels.
• Identify and address data anomalies, outliers, missing data, and quality issues using appropriate statistical methods.
• Analyze market trends, distributor behaviour, seasonality, product launches, and channel dynamics to generate actionable business insights.
• Partner with Product, Data Engineering, Business Intelligence, and Leadership teams to translate business requirements into scalable analytical solutions.
• Automate analytical processes using SQL, Python, or R to improve efficiency and model scalability.
• Present analytical findings, methodologies, and recommendations to senior stakeholders in a clear and business-oriented manner.
• Stay current with advances in statistical modelling, econometrics, forecasting techniques, and market measurement methodologies.

Required Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Data Science, Operations Research, Computer Science, Industrial Engineering, or a related quantitative discipline.
• Master's degree in Statistics, Mathematics, Econometrics, or Operations Research is preferred.

Experience

• 10 - 12 years of experience in statistical analytics, market measurement, panel data analysis, or projection modelling.
• Proven experience designing or maintaining statistical projection methodologies and estimation models.
• Experience in the pharmaceutical, healthcare, FMCG, retail analytics, or market research industry is highly preferred.
• Candidates with experience in organizations such as IQVIA, NielsenIQ, Kantar, Circana, Ipsos,GfK, or similar market intelligence firms will have a distinct advantage.

Technical Skills

• Strong knowledge of sampling theory, probability sampling, stratified sampling, and panel methodology.
• Expertise in statistical estimation, weighting techniques, universe estimation, calibration,imputation, and expansion methodologies.
• Proficiency in descriptive and inferential statistics, regression analysis, time-seriesforecasting, variance estimation, confidence intervals, and sensitivity analysis.
• Advanced proficiency in SQL and Microsoft Excel.
• Hands-on experience with Python (Pandas, NumPy, SciPy) or R for statistical modelling and data analysis.
• Experience with Power BI or Tableau for data visualization.
• Knowledge of SAS or SPSS is an added advantage.

Domain Expertise

A strong understanding of the pharmaceutical ecosystem, including:

• Pharmaceutical distribution and stockist networks
• Secondary and primary sales analytics
• Market share estimation
• Retail and hospital sales channels
• SKU and brand-level performance analysis
• Geographic market variations
• Distributor panel management
• Product launches and seasonality
• Pharmaceutical market measurement methodologies

Core Competencies:

• Strong analytical and quantitative problem-solving skills
• Statistical reasoning and model development
• Business acumen and commercial understanding
• Attention to detail and commitment to data quality
• Effective communication and presentation skills
• Stakeholder management and cross-functional collaboration
• Ability to simplify complex analytical concepts for business audiences
• Continuous learning and innovation mindset

Success Measures

Success in this role will be measured by the accuracy, robustness, scalability, and business impact of statistical projection models, the quality of analytical insights delivered, and the ability to continuously improve market estimation methodologies that support strategic decision-making across the organization.