Responsibilities

• The Media Analyst will provide analytic support and strategic recommendations for one of Spark Foundry’s client accounts.
• You have an eye for numbers, intellectual curiosity, proficiency at problem solving, a strong command of online media, and an understanding of traditional media.
• You will be a team player and responsible in a client service environment.
• Work with the Analytics Manager and the media teams to create measurable online and offline campaign objectives and key performance indicators
• Determine campaign data and tracking requirements
• Manage measurement systems for data capture and reporting
• Work with the Analytics Manager to perform ongoing analysis using Excel, SPSS, SAS, etc. to ensure the timely adjustment/optimization of campaigns, along with other client-specific analyses (such as campaign analysis, customer segmentation and profiling and competitive market research)
• Build a body of knowledge on media, technology, and strategy performance with the objective of informing future media decisions on schedules, budgets, partners, and strategies

Requirements

• 1-2 years’ experience within an analytics function in the marketing industry or multiple dedicated internships
• Experience in the analysis of large data sets to develop insights and learnings (data mining)
• Strong analytical skills with understanding of statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations
• Must feel comfortable learning new systems and tools

Preferred

• Knowledge of visual techniques for data analysis and presentation
• Knowledge of current issues within the online media industry, such as attribution, data collection, targeting, and privacy are a good to have
• Ad serving platforms (e.g. DART) and digital display campaign performance data
• Website analytics software (e.g. Adobe SiteCatalyst, Test & Target)
• Data visualization skills a plus (e.g. Tableau)
• Syndicated media research & systems (Nielsen, comScore, MRI, Scarborough)
• Statistical software packages (e.g. SPSS, SAS)