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.
• Supporting marketing information capabilities and insights for production or internal business partners.
• Developing and supporting business and data analytics projects, including statistical models and analyses.
• Gathering, analyzing, and interpreting data to support business, customer, and financial objectives.
• Building data visualization to support business needs.
• Facilitating business implementation planning sessions and post-implementation checkpoints.
• Influencing change and gaining support from leadership and key partners 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 applications, and structured query language.
• Proficiency in developing ad hoc queries using SQL.
• Experience working with large customer and prospect databases, product, geographic, and demographic data.
• Good verbal and written communication skills.
• Understanding of problem solving in a business environment and working with diverse data sources.
• Knowledge of regression, decision trees, multivariate analysis, and other analytical techniques.
• Familiarity with Agile methodology framework.
• Undergraduate studies with postgraduate studies preferred.

Nice to Have

• Experience with problem solving in a business environment.
• Experience with machine-learning models and implementing testing strategies.
• Leadership skills and competencies.

Qualifications

• Undergraduate studies; postgraduate studies preferred.

Benefits & Perks

• Medical, dental, and vision insurance.
• Life insurance, short and long-term disability coverage.
• Paid time off with a minimum of 18 days annually, pro-rated quarterly.
• Nine paid holidays.
• 8 hours of Lifetime paid time off and 8 hours of Unity Day paid time off.
• 401(k) plan with company match.
• Company-paid pension plan.
• Business casual attire.