Specialist Marketing Information Management

About the Role

Key Responsibilities

• Leading the development of marketing mix modeling and attribution strategies.
• Driving the collection, validation, and visualization of marketing data.
• Translating data into compelling insights and stories that guide enterprise decisions.
• Managing cross-functional initiatives and expanding measurement into new business lines.
• Developing and maintaining marketing taxonomy frameworks.
• Engaging stakeholders and educating teams on measurement best practices.
• Recommending optimizations that elevate marketing performance.
• Assisting with multiple projects to develop business and data analysis to drive business objectives.
• Participating on workstreams of projects designed to execute analytics and deliver capabilities.
• Helping generate understanding of business processes and identifying critical metrics.
• Assisting in building and improving statistical models, including machine-learning models.
• Interpreting statistical results and creating feedback loops for analysis improvement.
• Building data visualizations to support business needs.
• Designing and implementing qualitative and quantitative research projects.
• Facilitating business implementation planning and post-implementation reviews.
• Influencing change and gaining support for new processes and methods.
• Developing governance, documentation, and training around new processes.

Requirements

• Typically, five or more years of related experience with analytic techniques, statistical methodologies, statistical software, and data analysis.
• Strong knowledge of analytic lifecycle, business intelligence, database warehousing, SQL, and research methodologies.
• Proficiency in developing ad hoc queries using SQL.
• Experience working with large customer/prospect databases, product, geographic, demographic data.
• Proven problem solving, analytical, research, and quantitative analysis skills including regression, decision trees, multivariate analysis.
• Good verbal and written communication skills.
• Understanding of Agile methodology framework.
• Undergraduate studies with post-graduate studies preferred.

Nice to Have

• Experience with problem solving in a business environment.
• Experience with building and maintaining statistical models, including machine learning.
• Leadership skills and competencies.

Qualifications

• Typically, five or more years of related experience in analytics and data analysis.
• Experience with statistical software and problem solving in a business environment.
• Knowledge of SQL and data visualization tools.

Benefits & Perks

• Medical, dental, and vision insurance.
• Life insurance and disability coverage.
• Paid time off including a minimum of 18 days annually, nine paid holidays, and additional paid time off for lifetime and Unity Day.
• 401(k) with company match.
• Company-paid pension plan.
• Business casual attire.