Work closely with clients & partners to inform strategy and drive execution, relative to goals and KPIs for client programs.
Develop detailed analytics plans to measure against client objectives and benchmarks, and move learning agendas forward.
Monitor campaign performance on a real-time basis. Track performance against client or industry objectives and KPIs.
Develop and implement action plans to demonstrate continued performance gains.
Partner with internal teams in data science, activation, business intelligence, account management, and ad/revenue operations to optimize campaign delivery.
Deliver valuable, relevant, compelling and visually intuitive insights to internal and external partners, at multiple levels.
Leverage, integrate, and refine data from multiple sources including BI platforms, query tools, raw logs, third party sources, etc, to deliver actionable insights to internal and external partners.
Develop expertise wrangling internal and external data sources, including:
Web behavioral: Google Analytics, proprietary tracking tools
Ad Server: DFP
DMP: Adobe Audience Manager
Customer: Acxiom, CDS
External: MRI, Nielsen, comScore, IQVIA, Polk, Jumpshot, 1010Data, etc.
Ad Effectiveness: Millward Brown, Nielsen
Content: Formation, NLP
Social: Facebook, YouTube, CitizenNet
Act as a spokesperson for Condé Nast with external clients & partners, and showcase our capabilities.
Develop expertise in a specific applied practice area: sales industries (such as Beauty/Fashion, or Media/Entertainment), or internal corporate organizations.
Maintain relationships with internal partners in engineering, data science, BI, and Sales support teams to exploit and improve internal capabilities.
One to three years of quantitative/analytic experience, within an agency or media organization.
Excellent communication and presentation skills, with the ability to illustrate complex relationships or outcomes in a visually intuitive and compelling manner, for audiences of all levels.
Knowledge of the ad and media technical landscape.
Familiarity with media/ad effectiveness research, techniques, tools and vendors.
Experience with media mix modeling.
Expertise with open-source data analysis tools, including SQL, Python, and R.
Experience with predictive and prescriptive analytics.
Bachelor's or Master’s degree in marketing, statistics, mathematics, economics, or other quantitative fields.
If you are interested in this opportunity, please apply below and we will review your application as soon as possible. Please note that due to the high level of applications we receive, it is not always possible for us to respond to each applicant in person. Should your profile fit this open position we will contact you within approximately 4 weeks. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
C ondé Nas t is an equal opportunity workplace.
Duties and responsibilities may be adjusted based on years of experience.
Salary is also commensurate with experience.