Lippincott – Senior Consultant – Marketing Science

Lippincott – Senior Consultant – Marketing Science

Requirements

• 3+ years of professional experience in marketing analytics and/or data science
• Graduate degree in Statistics, Computer Science, Marketing, Economics, Math or a related field (or professional experience providing an equal level of accomplishment) is preferred
• Experience employing statistical techniques such as regression modeling, conjoint modeling, and structural equation modeling
• Analysis and synthesis of complex datasets either through tools like SPSS and Excel or statistical computer languages (Python, R)
• Outstanding communications, writing and interpersonal skills
• Excellent business intuition, ability to connect the dots between the data and implications for our clients’ businesses

Responsibilities

• Manage the design, analysis, and synthesis of diverse data sources, including quantitative research, qualitative research, and client data warehouses, to help solve our clients’ business challenges
• Develop interview guides and surveys
• Analyze historical customer behavioral and financial data
• Generate designs for marketing sciences experiments (e.g., conjoint)
• Leverage analytics tools (e.g., R, Python) and employ statistical techniques such as regression modeling, conjoint modeling, structural equation modeling, etc.
• Synthesize and analyze data to discern insights that contribute to the team’s understanding of the relationships between customer perceptions, behavior, and lifetime value
• Participate in the generation of creative hypotheses, with the goal of influencing and monetizing customer behavior
• Infer implications for the client’s overall business, marketing, and brand strategies
• Follow industry trends and related data/analytics processes and businesses, contributing ideas, actively participating in concept testing for new campaigns, customer experiences, or business innovations, and learning and adapting to cutting edge technologies in data analysis to drive efficiency
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Actively contribute to MCS initiatives by sharing ideas, preparing presentation materials for internal stakeholders, and product design/business case materials for internal leadership
• Clearly communicate insights from data analysis to internal and external stakeholders through clear and engaging narratives
• Support the management of quantitative and qualitative research projects from kick off to delivery
• Manage time efficiently to monitor and execute project components, including the development of presentations, survey instruments and data analysis for multiple projects at a time
• Collaborate closely with colleagues from other disciplines (e.g. Strategy, Design, Innovation) to ensure broad understanding of approaches and conclusions
• Mentor cross functional team members, providing advice and coaching on advanced marketing science modeling techniques.

Preferred Qualifications

• A passion for problem solving, creative expression and improving the way companies relate to customers
• A willingness to push your thinking, attack issues from multiple angles and stretch yourself to provide outstanding brand ideas to clients
• An appetite for learning and wrestling with challenging topics across a diverse range of clients/ industries