Vice President, Marketing Analytics

Hancock Whitney; Street; On-site; GBP 65,000 - 95,000; Full time

Job summary

An established industry player is seeking a Senior Manager for Marketing Analytics to lead strategic decision support across various media types. This pivotal role involves mentoring a skilled analytics team and developing advanced methodologies to enhance marketing performance. You will collaborate with senior leadership to optimize investments and translate data into actionable insights, ensuring alignment with business strategies. Join this dynamic environment where your expertise in data science and analytics will drive measurable improvements and foster a culture of excellence in marketing decision science.

Qualifications

• 8+ years in decision support analytics.
• 3+ years leading a high-performing analytics team.
• Proven record of translating data into business strategy.

Responsibilities

• Optimize Marketing investment and campaign effectiveness.
• Lead development of advanced analytics methodologies.
• Establish Marketing performance KPIs and design measurement frameworks.

Skills

SQL

SAS

Data Visualization Tools

Statistical Modeling

Machine Learning

Data Science

Education

Bachelor's or Master's degree in Economics, Finance, Statistics, Data Science

4 additional years of experience in statistics, mathematics, or quantitative analytics

Tools

Salesforce Datacloud

Job description

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JOB FUNCTION / SUMMARY:

The Senior Manager, Marketing Analytics provides strategic decision support for Marketing efforts across all media types. This role leads the development and execution of advanced analytical strategies, drives measurable improvements in marketing performance, and mentors a team responsible for marketing data science and performance measurement. This position balances strategic leadership with hands-on project oversight to drive cross-functional alignment and enterprise value.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Partner with senior channel and Marketing leadership to optimize Marketing investment and campaign effectiveness.
• Lead development of advanced analytics methodologies that influence strategic Marketing direction.
• Mentor and lead a skilled analytics team, developing a center of excellence in Marketing decision science.
• Collaborate with enterprise analytics and IT to align data strategies and analytic practices.
• Lead cross-functional analytics projects tied to strategic priorities, translating business problems into actionable insights.
• Evaluate and implement emerging technologies, including machine learning and data modeling tools.
• Establish Marketing performance KPIs and design measurement frameworks for key campaigns.
• Guide risk management activities within Marketing analytics and ensure compliance with internal policies.

MINIMUM REQUIRED EDUCATION, EXPERIENCE & KNOWLEDGE:

• Bachelor's or Master's degree in Economics, Finance, Statistics, Data Science, or related field, or 4 additional years of experience in statistics, mathematics, or quantitative analytics.
• 8+ years in decision support analytics.
• 3+ years of experience leading a high-performing analytics team.
• Advanced skills in SQL, SAS, data visualization tools, and statistical modeling.
• Familiarity with Salesforce Datacloud and advanced integration of external data sets.
• Proven record of translating data into business strategy.

ESSENTIAL MENTAL & PHYSICAL REQUIREMENTS:

• Ability to work under stress and meet deadlines
• Ability to lift/move/carry approximately 20 pounds if required to perform the essential job functions. If the employee is unable to lift/move/carry this weight and can be accommodated without causing the department/division an "undue hardship" then the employee must be accommodated; hence omitting lifting/moving/carrying as a physical requirement.

Equal Opportunity/Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.