Develop predictive models and use machine learning algorithms to support targeting, personalization, and budget optimization
Steer test design, A/B experimentation, and causal inference analyses to accurately measure marketing impact, isolate lift, and inform optimization decisions
Perform feature engineering, statistical modeling, and model deployment for marketing initiatives
Extract, validate, and manipulate data from multiple sources, ensuring data integrity and compliance with data governance and consumer privacy standards
Collaborate with Data Engineering for advanced ETL and automation solutions
Translate sophisticated analytical findings into strategic recommendations that influence marketing and executive decision-making
Partner with BI developers to build automated dashboards and reporting solutions that visualize marketing performance and enable self-service analytics
Collaborate with marketing leadership to design test & measurement frameworks, attribution models, and optimization methodologies for media and campaign strategies
Act as a trusted advisor to senior partners, providing insights that align with organizational goals and marketing objectives
Educate partners on data, methodologies, frameworks, and standards to foster data-driven decision-making
Design and layout visual elements of reports and dashboards using industry standards for easy consumption by non-technical audiences
Formalize and adhere to strong quality assurance processes to ensure the integrity of analytical outputs
Find opportunities to improve partner experience with reports/dashboards through enhanced visualization, interface design, and back-end performance
Standardize measurement frameworks to ensure consistency and scalability
Lead the creation of strategic roadmaps for marketing analytics, aligning initiatives with business priorities and growth objectives
Enhance benchmarking and scenario planning methodologies to guide investment decisions and optimize marketing spend
Provide guidance, coaching, and technical support to other analysts
Lead knowledge-sharing sessions and help develop standards for marketing analytics, fostering a culture of continuous learning and analytical excellence
Stay current on emerging technologies, data science techniques, and marketing analytics trends
Find opportunities for automation and process optimization within marketing analytics workflows.

Requirements

Bachelor’s or Master’s degree in Marketing Analytics, Data Science, Statistics, or a related field
5+ years of experience in marketing analytics, with at least 2 years in a senior or lead role (10+ years preferred for senior candidates)
Proven experience applying data science techniques and strategic frameworks in a marketing context
Marketing analytics experience preferred, with working knowledge of attribution, segmentation, activation, and incremental testing
Proficiency in SQL and Python (or R) for data manipulation, modeling, and automation
Strong working knowledge of site analytics (Adobe or Google Analytics)
Strong knowledge of BI tools (Power BI, Tableau, Google Data Studio, Looker, etc.); Power BI experience preferred
Ability to interpret data to inform business decisions
Familiarity with marketing technology platforms, attribution models, and data governance standards
Outstanding interpersonal skills with ability to interact effectively with all levels of management
Excellent organizational, writing, and analytical skills
Commitment to high standards, integrity, and ethics
Ability to handle issues involving sensitivity, confidentiality, and legal exposure
Track record of handling multiple priorities, meeting deadlines, and agility to adapt
Heightened attention to detail.

Benefits

Health insurance
Dental
Vision
Paid time off
Life insurance
401(k) with a company match
Mental health coverage
Gender affirming benefits
Family building benefits
Paid parental leave
Associate discounts
Community involvement opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

predictive modelingmachine learning algorithmsfeature engineeringstatistical modelingdata manipulationdata governanceA/B testingautomationdata science techniquesmarketing analytics

Soft Skills

interpersonal skillsorganizational skillsanalytical skillscommunication skillsleadershipcoachingproblem-solvingattention to detailadaptabilitycollaboration