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Data Analyst, Programmatic

Data Analyst, Programmatic

Requisition ID 
# of Openings 
Job Locations 
US-NY-New York
Posted Date 
Office Location 
32 Avenue of Americas

More information about this job


360i is an award-winning agency that helps brands capitalize on change. As a highly strategic creative and media partner with a deep understanding of how people discover brands and share stories, we don’t just react to changes in the marketplace – we predict and define them. By bringing together some of the smartest, most curious people with expertise in data, creativity, media, strategy, search, and social, we help our clients achieve their objectives and drive their business forward. And our hustle doesn’t go unnoticed. We’ve been recognized in Advertising Age's Agency A-List issue seven years in a row, named one of Fast Company’s Most Innovative Companies, and ranked amongst the best Lead Agencies and Search Agencies by Forrester Research. That’s some range. We work with brands including HBO, National Geographic, DSW, Mondelez and Capital One. To learn more about us, visit


The Data Analyst will work directly with 360i’s Programmatic Buying Group to improve performance and strengthen the group’s val prop through advanced analytics. The ideal candidate is someone who lives and breathes curiosity and enjoys figuring out solutions before a problem is identified. This person wants to be a part of growing a programmatic practice and help take things to another level by establishing tighter analytics rigor around all decision-making.


S/he will play a critical role in efforts to transform data and reporting into insights, recommendations, and results. The ideal candidate will go beyond reporting, peel away the layers of data, and suggest constructive marketing test and competitive opportunities to improve business performance on a regular basis.


S/he must be comfortable with working in a cross-office environment. Business acumen and the ability to effectively communicate analytical work to non-analytical audiences are essential.


Data Management:

  • Access and compile large volumes of custom and syndicated data from disparate sources into concise and precise information
  • Verify accuracy, develop databases, systems, and programs that facilitate econometric modeling
  • Ensure data quality and data documentation
  • Solve problems with internal and external clients on data issues
  • Determine information needs and sources of data
  • Develop new data sources and data management tools to ensure most effective methods are used

Data Analysis and Presentation: 

  • Understand the business processes and leverage the procured knowledge in planning, execution and reporting
  • Produce visuals (charts, graphs) and presentations for summary trend statistics
  • Clearly and effectively communicate findings to clients and produce actionable recommendations
  • Help determine best practices for things like bid strategies i.e., starting bids, frequency caps, and bid change increments for programmatic managers to apply to campaigns

Statistical Modeling:

  • Run ad-hoc “what if scenarios” and simulations to models and evaluate plans
  • Use SAS, SPSS, or SQL for data manipulation, analysis, modeling, and reporting


  • Bachelor’s Degree is required, preferably in a quantitative field (statistics, economics, etc.) or with relevant coursework
  • 1 -2 years related industry experience is required
  • Background in processing and analyzing information using statistical and econometric modeling
  • Proven ability to synthesize data and identify trends or extract key findings and turn them into actionable insights
  • Proficient in Excel and PowerPoint and fluent in Python and SQL
  • Ability to operate independently but also work well with the team and partners throughout the organization
  • Working knowledge in common data visualization and BI tools (Datorama, Tableau or Rshiney)
  • Some SAS programming (or other statistical programming language) experience is highly preferred
  • Experience with AWS or other cloud platforms
  • Experience building scalable and automated ETL processes
  • Experience with Marketing Tech platforms and APIs a plus
  • Ability to handle multiple assignments and meet tight deadlines
  • Solid problem-solving skills
  • Beginner to intermediate understanding of the programmatic buying ecosystem (DSPs, DMPs, DCM data transfer files) and online business marketing metrics (Impressions, Clicks, Click-Through Rate, Conversions, CPC, ROI, ROAS, Cost per Acquisition) is required
  • Possess strong written and verbal skills with the ability to create presentations for explaining and defending your audience modeling approach and performance outcomes to non-analytics people

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