Responsibilities

• Leads all campaign reporting and end of campaign insights for a set of DGMN clients. (20%)
• Assists the team with ad-hoc analyses and data pulls including historical campaign performance, DG1P, customer panel data, and more. (20%)
• Helps build the story of return on investment from digital advertising effectiveness leveraging various data points and actionable insights in a client-facing role. (20%)
• Assists the team with evaluating cross-network campaign performance trends and identifying root causes. (5%)
• Leads analysis to transform disparate datasets into actionable insights and recommendations to improve future campaign performance and ROI. (15%)
• Work closely with sales and media buying and execution teams on day-to-day basis to understand and deliver on client’s business objectives. (15%)
• Collaborate cross-functionally with decision science, digital, enterprise marketing, IT, agency partners, and martech/adtech vendor partners as necessary. (5%)

Requirements

• Bachelor’s degree in marketing, advertising, economics, statistics or a similar degree
• 0-3 years of experience in marketing, media, digital advertising, ecommerce and/or adtech/martech
• 0-3 years of experience in measurement, reporting, business analysis and/or analytics
• 0-3 years of experience in basic client management / client consultation, or similar role
• Experience transforming data from multiple disparate sources into relevant and actionable insights.
• Strong interpersonal written and verbal communication skills that translate to storytelling, influence without direct authority, and building relationships with clients and internal teams by turning insights into actions.
• Familiarity with digital media / retail media, general marketing principles and knowledge of key digital marketing KPIs (incremental return on ad spend, ROI, etc.).
• Working knowledge and know-how of simple querying language and database architecture.
• Working knowledge and know-how in Microsoft Excel and data visualization tools (e.g., Tableau).
• Organized self-starter who can help drive progress and solve business problems.

Preferred

• Expertise in advanced measurement and attribution analytics
• Expertise with analytics and reporting tools (e.g. Tableau, Power BI) and ad serving platforms (e.g. Google Ad Manager, The Trade Desk)
• Expertise with basic query language (e.g. SQL and/or Python) and database architecture