Manager, Marketing Analytics

About the Role

Key Responsibilities

• Develop thorough data-driven analyses, insights, and recommendations across all digital channels.
• Influence leadership and drive action plans with end-to-end ownership.
• Identify and capitalize on growth opportunities within the digital channels to drive customer acquisition and revenue.
• Drive improvements in our ability to detect changes, explain business performances/variances, and set monthly/annual targets through new analytical frameworks and techniques.
• Effectively communicate with senior leadership, summarizing complex trends and insights into simplified coherent messages.
• Manage multiple competing projects, setting clear expectations, and adhering to deadlines.

Requirements

• Bachelor's Degree (Master's degree preferred) in a quantitative discipline, such as Economics, Business Analytics, Engineering, Statistics, Data Science, or Computer Science.
• 5+ years of experience in complex, data-driven problem-solving.
• Strong SQL and/or Python skills.
• Hands-on experience working on complex structured and unstructured datasets involving several joins.
• Experience with MS Office, Excel, PowerPoint, and BI or data visualization platforms such as PowerBI or Tableau.
• Prior experience with media mix modeling, multi-touch attributions, and digital channel strategies.
• Innovative and capable of developing a highly analytical approach to solving problems.
• Strong data and insights intuition, intellectual curiosity.
• Ability to work independently, make sound, fact-based recommendations, and think strategically.
• Exceptional communication and interpersonal skills, with the ability to effectively interact with senior executives.
• Customer-focused mindset with a passion for delivering innovative marketing solutions.
• Experience with various data mining and statistical methods such as sampling, hypothesis testing, time series analysis, decision trees, residual modeling is a plus.

Nice to Have

• Experience with BI or data visualization platforms (PowerBI, Tableau).
• Experience with data mining and statistical methods such as sampling, hypothesis testing, time series analysis, decision trees, residual modeling.

Benefits & Perks

• Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances.
• Up to 4% matching 401(k).
• Employee Stock Purchase Plan (10% share discount).
• Tuition reimbursement.
• Paid time off (15 days' vacation per year, plus 2 personal days, prorated based on start date).
• Paid sick leave as determined by state or local ordinance, prorated based on start date.
• Paid holidays (7 days per year, based on start date).
• Paid volunteer time (3 days per year, prorated based on start date).