General Summary:
As a Sr. Manager of Insights, you will be a part of an analytical client-facing team in DG Media Network (DGMN) that is responsible for helping clients understand and improve the return on their investments with DGMN’s unique digital advertising solutions leveraging Dollar General’s 1st party data. You will tell the story of DGMN’s performance and results through best-in-class analyses, strategic planning, actionable insights and data visualization in a client-facing consultative capacity. Additionally, you will work closely with DGMN’s sales and media buying and execution teams to identify and provide strategic recommendations on digital advertising solutions to drive positive outcomes for DGMN’s clients. As a member of the Insights team, you will play a vital role in providing thought leadership elevating and tailoring reporting, analytics and actionable insights for iconic Fortune 500 brands.
Duties & Responsibilities:
- Leads all reporting, insights, measurement planning and KPI/objective alignment for set of DGMN clients.
- Provides thought leadership and tells the story of return on investment from digital advertising effectiveness leveraging various data points and actionable insights in a client-facing role.
- Manages all historical performance and serves as the subject matter expert of performance and campaign best practices for set of DGMN clients.
- Leads analysis of large and disparate data sets to transform into actionable insights and recommendations to improve future campaign performance and ROI.
- Leverage DG’s unique 1st party data and consumer behavior analytics to identify and quantify incremental investment opportunities to drive mutually beneficial outcomes for DGMN and its clients.
- Work closely with sales and media buying and execution teams on day-to-day basis to understand and deliver on client’s business objectives.
- Develop and manage learning agenda for strategic clients using various analysis and testing best practices such as, but not limited to, A/B testing, hypothesis testing and root cause analysis.
- Provide thought leadership and consultation on KPI and objective alignment for both short- and long-term objectives.
- Conduct ad-hoc analysis leveraging various datasets including historical performance, sales trends, category sales, benchmarks and/or DG shopper behavior.
- Collaborate cross-functionally with decision science, digital, enterprise marketing, IT, agency partners, and martech/adtech vendor partners as necessary.
Knowledge, Skills, & Abilities:
- Strong expertise in 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 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).
- Exceptionally organized self-starter who can dive into the work and roll up their sleeves to solve business problems.
- Is comfortable and thrives in high ambiguity within a start-up environment.
- Possess a growth mindset.
Work Experience &/or Education:
Basic qualifications:
- Bachelor’s degree in marketing, advertising, economics, statistics or a similar degree.
- 5 years of experience in marketing, media, digital advertising, ecommerce and/or adtech/martech.
- 5 years of experience in measurement, reporting, business analysis and/or analytics.
- 2 years of experience in basic client management / client consultation, or similar role.
Preferred qualifications:
- Expertise in advanced measurement and attribution analytics such marketing mix modeling, multi-touch attribution and ROI analysis.
- 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.
