Manager, Marketing Data Science
December 12
Description
•Develop and implement a strategic roadmap for marketing analytics in collaboration with key stakeholders, driving alignment with overall business objectives. •Define and implement clear goals for marketing attribution, return on investment analysis, and campaign performance measurement, delivering insights to optimize marketing efforts. •Ensure all marketing analytics efforts are aligned with budget optimization and focused on improving overall return on marketing spend. •Analyze and interpret complex marketing datasets (e.g., campaign performance, customer behavior, and attribution data) to deliver actionable insights that help stakeholders optimize their marketing strategies and campaign performance. •Design and oversee the execution of comprehensive measurement plans across all media channels and campaigns, ensuring alignment with business goals. •Act as a subject matter expert in full-funnel attribution, coordinating across teams and using new ad technologies to drive measurable business outcomes. •Provide thought leadership on marketplace trends and media innovations, incorporating the latest marketing analytics techniques to stay ahead of industry developments.
Requirements
•Bachelor's degree in Business, Statistics, Economics, or a related quantitative field. •Minimum 10 years of proven experience in marketing analytics at a media agency or client side/industry. •Proficiency in statistical analysis and data visualization tools (e.g., Python, R, Tableau, Looker). •Proficiency in marketing analytics tools (e.g., Google Analytics, Adobe Analytics). •Strong analytical and problem-solving skills; translate data and insights into actions and recommendations, communicating in a concise, honest, and understandable way. •Deep knowledge of the advertising landscape and ability to translate that knowledge for Mozilla’s unique business needs. •Comfortable leading and collaborating in a fast changing marketing environment. •Experience running and analyzing A/B tests. •Excellent quantitative and qualitative skills, you are able to break down highly complex problems involving large amounts of data. •Strong storytelling skills and ability to tailor data and insights to different audiences. •Strong project management capabilities and ability to drive multiple work streams of varying complexity.
Benefits
•Generous performance-based bonus plans to all eligible employees - we share in our success as one team •Rich medical, dental, and vision coverage •Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) •Quarterly all-company wellness days where everyone takes a pause together •Country specific holidays plus a day off for your birthday •One-time home office stipend •Annual professional development budget •Quarterly well-being stipend •Considerable paid parental leave •Employee referral bonus program •Other benefits (life/AD&D, disability, EAP, etc. varies by country)
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