Senior Manager, Digital Media Analytics

Valvoline Global•Cincinnati, OH

80d•Hybrid

About The Position

Valvoline Global Operations, founded in 1866, is a pioneer in the automotive and industrial solutions industry, known for introducing the world's first branded motor oil. As an affiliate of Aramco, the company is committed to innovation and sustainable solutions. Valvoline Global operates globally, developing future-ready products and providing best-in-class services. Their corporate values are Care, Integrity, Passion, Unity, and Excellence. The company fosters a culture that celebrates creativity, innovation, and excellence. A new Global Headquarters is opening in downtown Cincinnati in spring 2027, with a new global standard of four days per week in the office starting in the first half of 2027. Relocation assistance is offered for non-local candidates willing to relocate to Cincinnati, OH.

Requirements

Bachelor’s degree in Analytics, Statistics, Mathematics, Business, Economics, Computer Science, or a related field
8+ years of progressive experience in digital analytics, business intelligence, or data science roles, preferably in a global or matrixed organization
Ability to analyze paid media data across Search, Programmatic, and Social channels, connecting analytics to volume and revenue metrics to generate actionable commercial performance insights
Experience working in Salesforce Marketing Cloud platform
Strong experience with predictive analytics, statistical modeling, and machine learning methodologies.
Proven ability to analyze complex datasets and translate findings into strategic recommendations.
Exceptional communication and storytelling skills with the ability to translate complex data into clear business insights.
Strong business acumen with experience working across functions such as Sales, Marketing, and Finance
Demonstrated ability to influence decisions through data in a fast-paced, collaborative environment.
Ability to work with global teams, with cultural differences, and can work across multiple time zones
Quick learner with a proactive, problem-solving mindset
Comfortable in a fast-paced, deadline-driven environment

Nice To Haves

Master’s degree preferred
Knowledge of data governance and data quality principles
Global experience as it relates to data governance and laws, and working with stakeholders across different regions
Expertise in data visualization tools (e.g., Power BI, Tableau, or equivalent) and data manipulation using SQL, Python, or R
Certified in Salesforce Marketing Cloud

Responsibilities

Lead strategic analytics initiatives to support business planning, performance measurement, and forecasting across global functions.
Design and deliver dashboards, reports, and data models that communicate key metrics, trends, and actionable insights to cross-functional stakeholders.
Oversee global Google Analytics (GA4) strategy, implementation, and governance, ensuring accurate tracking, consistent measurement frameworks, and alignment with business objectives.
Apply statistical analysis, predictive modeling, and data visualization techniques to solve business challenges and uncover growth opportunities.
Lead cross-functional analytics initiatives by developing project roadmaps, execution plans, and post-project reports that demonstrate impact, ROI, and key learnings.
Provide briefings, analytics strategies, and measurement frameworks that guide Valvoline Global in data-driven decision-making and align analytics outputs with organizational objectives.
Develop training materials and lead workshops to strengthen data literacy across teams.
Collaborate with business leaders to translate questions into analytical problems and deliver actionable, data-driven recommendations.
Partner with stakeholders to support data quality and infrastructure by conducting audits, identifying improvements, and maintaining clear documentation of data sources, metric definitions, and governance processes.
Stay current on emerging tools, technologies, and analytics best practices, conducting proof-of-concepts, and recommending new technologies (including BI and AI/ML solutions) based on business value.