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The Role:
We're looking for a Sr. Director of Marketing Intelligence to build and lead the Analytics and Experimentation functions within the Morningstar Central Marketing Department. You will be the business leader that provides experimentation and analytics leadership and best practices, building a holistic reporting framework for all levels of the organization, use this to drive insights, and work cross-functionally to drive the data strategy. You will build out the experimentation function as a subject matter expert. You will have the technical chops to jump in and build out our experimentation practice and the desire to lead and build the team. You will employ a combination of people, process, and technology to build a culture of analytics within our marketing team. You will evangelize learnings by synthesizing findings and sharing insights that continue to drive iterative growth for Morningstar. You will inspire and lead a team of analysts to support marketing,data-driven opportunities, and a spirit of data-driven optimization through the execution of analytics and experimentation best practices.
Responsibilities:
Lead the analytics & experimentation strategy across Central Marketing
Provide leadership and subject matter expertise in marketing analytics and KPI frameworks to measure success
Set into motion the analytics roadmap with focused pillars of attribution modeling, data strategy for lead generation, and analytics reporting pyramid
Develop analytics reporting suites to quantify performance and share results with stakeholders consistently across levels of the organization
Set testing strategy and approach leveraging conversion rate optimization best practices.
Serve as a subject matter expert on design of experiments including test structure, sequencing, definition of primary and secondary success metrics, and experiment duration calculation.
Work with internal data engineering teams, and BI teams to set into motion the analytics roadmap for data strategy
Develop and iterate on attribution models to quantify drivers of conversion, including multi-touch attribution, lead scoring, propensity and churn models.
Understand customer and prospect funnels, customer behavior, funnel dynamics, and user trends to identify opportunities for experimentation to drive a step-change in conversion performance
Lead, grow, and inspire a team of Analysts and intelligence managers
Be an advocate and evangelist for best in class measurement and experimentation methodologies and opportunities across Marketing constituents
Requirements:
Master's degree is required, ideally in statistics, finance, mathematics, engineering, analytics, or in a quantitative discipline
10+ years proven experience in digital marketing, analytics, and experimentation
Strong expertise in Digital & Marketing analytics and experience developing measurement strategies to evaluate performance
Demonstrated track record of delivering data-driven insights for stakeholder and marketing teams
Outstanding analytical and problem-solving skills with advanced knowledge of statistics and quantitative models and with technical capabilities and experience designing and analyzing hypothesis-driven experiments and multivariate tests
A collaborative leader and problem solver who thrives in cross-functional environments, ability to lead and inspire teams
Excellent verbal and written communication and presentation skills, with the ability to convey complex information in a clear and concise manner
Ambitious to thrive in a dynamic environment
Morningstar's hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We've found that we're at our best when we're purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
Morningstar and its subsidiaries are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity, parental status, or other legally protected characteristics or conduct.