[Hiring] Measurement Lead, Marketing Science @Power Digital

Role Description

The ideal candidate will have a strong understanding of modern measurement, incrementality, statistics, data analysis, and reporting, and the ability to communicate effectively with clients. In this role, you will be responsible for managing and recommending the best modern measurement strategies for clients’ marketing campaigns, including:

• Statistical Modeling
• Experiment design for incremental impact
• Customer analysis
• Attribution-based measurement

You’ll also be providing strategic guidance to clients and internal teams, managing the relationship for your book of business, and maintaining a high sentiment of Power Digital measurement clients.

Responsibilities

• Manage overall measurement strategy for a book of clients, including statistical modeling (MMM), incrementality experiment design (MMT), and customer analysis.
• Utilize large amounts of data to identify meaningful performance insights or opportunities for improvement using R, SQL, and Python.
• Work closely with account teams and clients to develop and maintain long-term strategic relationships, ensuring their satisfaction and success with Power Digital’s services, especially Measurement.
• Clearly and succinctly present and explain advanced measurement methodologies and models to internal and external teams.
• Ensure that insights are actionable and tied to client business goals.
• Provide strategic advice and "so what" insights for ongoing measurement optimization.
• Mentor and develop Measurement Analysts by providing ongoing performance coaching and guidance on advanced analytics, problem-solving, and insight storytelling to elevate analytical rigor, quality of deliverables, and overall client impact.
• Consistently drive efficiencies within the current measurement and marketing science processes.
• Employ AI technologies to increase efficiency and support the optimization of deliverables and/or processes.
• Utilize and leverage Power Digital's Nova ecosystem as it relates to your department.

Qualifications

• Bachelor's degree in Marketing, Business Administration, or a related field.
• 6+ years of experience in Marketing Analytics and Measurement.
• 3+ years of agency experience.
• Strong business acumen, with the ability to translate quantitative data into actionable business insights and recommendations, especially related to applying outputs of statistical models and market experiments to marketing strategies.
• Proficiency in R, Python, and SQL.
• Experience with ETL tools, such as Funnel.io and Fivetran.
• Strong understanding of full-funnel marketing strategies.
• Extensive knowledge of owned, earned and paid marketing channels as well as first-party data tools.
• Excellent communication and organizational skills to collaborate effectively across teams internally and externally.
• Demonstrated managerial experience, including the ability to lead, mentor, and motivate a team, 2-3 years of team management experience, ideally 2-3 direct reports.
• Highly dependable individual who thrives in a fast-paced environment and is a self-starter.
• Excellent problem solving, communication, and decision-making skills; ability to clearly communicate complex strategies to senior leadership and executive-level stakeholders.
• Team-oriented and collaborative, effective interpersonal skills, highly organized.
• Data visualization skills using Looker and analysis in Excel.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong attention to detail.
• Self-motivated and able to work under pressure.

Requirements

• Maintain 90%+ revenue retention for dedicated Measurement accounts.
• Client sentiment for dedicated accounts.
• Efficiency and quality of analysis delivery, both in the hard output and the presented narrative.

Most Important Things (MITs)

• A creative, problem-solver mind with a foundation of hard data skills.
• Advanced understanding of statistical concepts: advanced modeling, experiment design, customer analysis, limitations of statistics, etc.
• Experience using Data Science to guide marketing decisions.