Specialist, Marketing Information Management (Marketing Operations Data Scientist)

Nationwide•Columbus, OH

1d•$88,000 - $164,000•Hybrid

About The Position

Building a deep understanding of customers and the marketing that works to attract them begins with developing insights and solutions from data. If you thrive on problem-solving, connecting the dots and being part of an organized and informed project team, have exceptional attention to detail and a deep sense of ownership for quality and project workflow, we want to know more about you! As a Specialist, you'll develop and support marketing information capabilities and insights for production or internal business partners. This can include responsibility for business and data analytics projects, including development and maintenance of intermediate statistical models and related analyzes. This can also include developing the business understanding vital for analytics projects, obtaining and leading related data, performing analyses, interpreting results, outlining requirements for analytical solutions as needed, providing insights to internal clients and helping implement insights to marketing decisions. You also may work on projects through one or more of the delivery cycles from initiation, solution scoping, design, development, and analytic execution through implementation. You'll help document business rules, business cases, requirements, information requirements, analytic requirements and implementation strategy for changes and improvements to customer information and decision making both in an analytical and operational environment.

Requirements

Typically, five or more years related experience with analytic techniques, statistical methodologies, statistical software and data analysis.
Experience with problem solving in a business environment; working with large customer and/or prospect databases; working with product, geographic, demographic data to identify trends and opportunities.
Strong knowledge of analytic lifecycle, business intelligence, database warehousing applications, structured query language, and qualitative/quantitative research methodologies.
Proven problem solving, analytical, research and quantitative analysis skills and analytical working techniques, including regression, decision trees, multivariate analysis, etc.
Good verbal and written communication skills.
Proficiency in developing ad hoc queries using SQL.
Comprehension of Agile methodology framework.

Nice To Haves

Undergraduate studies with post graduate studies preferred.

Responsibilities

Lead Marketing Measurement & ROI Analysis: Develop and implement robust frameworks to assess marketing effectiveness and return on investment.
Deliver Actionable Insights: Transform complex data into clear, strategic recommendations that optimize campaigns and drive business growth.
Advance Experimentation Practices: Design and execute A/B tests, incrementality studies, and other advanced methodologies to measure impact.
Innovate with AI & Emerging Tech: Explore, evaluate, and build analytics capabilities leveraging AI platforms and cutting-edge technologies to enable automation and innovation.
Enable Data Visualization: Create and maintain interactive dashboards and reports in Power BI to support timely, data-driven decisions.
Collaborate Across Functions: Partner with marketing strategy, finance, and technology teams to align analytics solutions with business objectives.
Communicate with Clarity: Present complex analytical findings in a clear, compelling manner for both technical and non-technical audiences.
Champion Data Integrity & Ethics: Ensure accuracy, transparency, and ethical use of data in all analyses and recommendations.
Assists with multiple projects to develop business and data analysis to drive business objectives.
Participates on workstreams of projects designed to execute analytics and to deliver analytic and operational capabilities and solutions.
Helps generate understanding of business processes and assists with identifying critical business metrics and information requirements for decision making.
Documents the efforts of the business subject matter professionals; assists with the business alignment and scoping sessions.
Assists in gathering, analyzing and interpreting a wide variety of underlying data to support business, customer and/or financial objectives; able to identify new ways to combine business data to improve business processes and marketing and business outcomes.
Helps with the initiative to build and/or improve existing statistical models to solve business problems; defining requirements for sophisticated machine-learning models; implementing testing strategy and assists in putting final models into production.
Assists with interpreting statistical/analytical results and creating a feedback loop for analyzes improvement.
Builds data visualization to support business needs.
Helps designs and implements qualitative and quantitative research projects and methodologies used to measure consumer perceptions and satisfaction.
Helps drive marketing action and results through the interpretation and application of data and research findings.
Helps facilitate business implementation planning sessions.
May facilitate post-implementation checkpoint with business units to ensure best in class solutions are implemented.
Works with leader to influence change and gain support from leadership and key partners for the development of new processes and methods
Assists with developing governance, documentation and training around new processes.
May perform other responsibilities as assigned.

Benefits

medical/dental/vision
life insurance
short and long term disability coverage
paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
company-paid pension plan
business casual attire