Senior Analyst, Decision Sciences

 GENERAL OVERVIEW

The Business/Data Analyst is responsible for accessing, validating, analyzing, reporting and interpreting data in a meaningful way for their clients (both internal and external).  They develop actionable quantitative models and analyses to help clients address their marketing challenges such as estimating promotional channel effectiveness, ROI, and marketing mix optimization.

PRIMARY ACCOUNTABILITIES

Data management

Develop efficient and well-documented processes to build and refresh datasets in a manner that ensures analytics-ready data for downstream analysis

• Responsible for gathering data requirements and building datasets to meet team needs
• Ensure that data verification and validation processes are an integral part of all data feeds/implementations
• Maintain client confidence and protects operations by keeping data and information confidential
• Work with Data Governance team to ensure compliance with governance policies and processes

Data analysis

Use analytics capabilities to deliver effective, innovative solutions to complex business challenges:

• Communicate with and engage internal clients to develop an understanding of their analytical and reporting needs
• Analyze and identify patterns, trends, and anomalies within data
• Create and maintain programs used for report generation and analytical modeling
• Provide guidance on findings and implications of statistical output and provide explanations to a client (internal or external)
• Contribute to the team's collection of analysis methods and train others on the use of those methods and how to interpret their output
• Communicate capabilities to internal and external teams

 

REQUIREMENTS

Education and experience

• Bachelor’s Degree in statistics or a related field (Master’s Degree preferred)
• Minimum of 1-2 years’ experience as a Business Analyst with job duties similar to above, ideally for projects associated with custom analytics and/or custom reporting/metrics development
• Pharma industry experience and thorough knowledge of IMS data preferred

Software Skills

• Experience with statistical tools (SAS, Python, R, SPSS)

      Ability to write code in a collaborative fashion is essential

      Experience writing macro code and functions is desirable

• Excellent Microsoft Office skills (Excel, Word, PowerPoint)

      Proficiency with pivot tables, functions, graphs

      Experience with VBA is desirable

• Experience with data visualization tools (Tableau, Microsoft Power BI)

Statistical Skills:

Must possess a strong foundation in the following areas:

• Data validation, cleaning, and transformation
• Basic statistical analyses

      Descriptive statistics and measures of central tendency

      Cross-tabulation (chi-square and proportional reduction in error measures)

      Correlation and regression

      ANOVA/ANCOVA modeling

• Survey construction and analysis

Must be familiar with the following areas:

• Advanced statistical techniques:

      Data classification (cluster analysis/discriminant analysis)

      Decision trees (CART/CHAID)

      Marketing mix modeling (GLM)

      Forecasting (exponential smoothing, ARIMA)

      Machine Learning and Text analytics

Additional Requirements:

The successful candidate will demonstrate:

• Strong written and verbal communications skills with the ability to communicate complex quantitative analyses in a clear, precise, and actionable manner
• A high level of accuracy on all data analysis
• Detail-oriented, inquisitive, problem-solving nature
• Ability to structure and organize multiple tasks, prioritize, work independently, and consistently meet deadlines
• High levels of integrity and discretion in handling confidential information
• Ability to work effectively with individuals throughout the organization
• A desire to continue learning new approaches, techniques, and best practices