Mcafee Director Marketing Analytics & Strategy 

United States 

666007370

About the Role:

• You will lead a team of analysts in the proactive development of reporting on key metrics, actionable insights,testing plans, and optimization recommendations.
• You willcollaborate with theVP Marketing Planning & Analytics to drive the Annual Operating Plan inpartnership with the extended Marketing org as well as Finance, ECommerce, and Product
• You will develop insights and recommendations to Marketing on investment allocations tooptimizemarketing programs andcampaigns
• You will help grow the sophistication of the team’s analyseswith LTV models, LTV/CAC analysis, ROAS optimization, media mix modelingand Multi-touchAttribution
• You will develop prioritized test & learn roadmaps, recommendtestingapproaches, and methodologies, and ensure that we are deliveringrobustresults with meaningfulinterpretations
• You will collaborate cross-functionally to align KPIs and metrics definitions across the

About You:

• You have 8+ years working in consumer marketing analytics and test & learn design with at least 5 years in a management role and experience managing/developing a team of analysts
• Strong experimentation background (A/B, multi-variate and bandit tests etc) across both test design and readout (e.g. causal inference)
• Excellent analytical and critical thinking skills
• Hands-on individual contributor who can read and write SQL, Python and/or R
• Experience with a big data environment / IDE, such as Databricks and/or Snowflake
• Persuasive verbal and written communication skills, with a track record of delivering actionable insights and recommendations that help grow the business
• Experience with interpreting and understanding MMM and/or MTA solutions
• Experience with marketing data architectures, such as CDPs (customer data platforms), digital log files (e.g. Adobe Analytics), and stimulus data (e.g. Google Campaign 360, aggregated agency data)
• Work well with partners at all levels while advancing a strong point of view on data interpretation and effective test & learn strategies