Senior Digital Media Analyst

Senior Digital Media Analyst

Requirements

• 5+ years of relevant work experience in digital marketing analytics within a digital advertising/marketing/media company
• Strong background in analytics, understanding of concepts like Statistical Significance and data modelling
• BA/BS in Mathematics, Statistics, Finance, Marketing, Economics, or related field (MBA is a plus)
• Intermediate to advanced knowledge in utilizing BI tools, such as Tableau
• Strong verbal and written communication skills and confidence to deliver technical information succinctly and assertively to non-technical audiences
• Complex problem-solving and critical thinking skills, along with a solutions-oriented mindset
• Intermediate to advanced knowledge of Excel, including the ability to use formulas, functions, and pivot tables
• Intermediate to advanced knowledge of SQL and querying relational databases

Responsibilities

• Strategize with Media Team leadership to develop a cohesive and comprehensive understanding of the key drivers of the business, and leverage that understanding to achieve goals and move the company forward
• Ingest and aggregate key performance data, KPIs and operational data sets (for example keywords/groups, ads, bidding, creative assets, etc)
• Design and maintain end-to-end models in collaboration with Data Engineering, Data Product and Media Teams to drive insights and actionable intelligence to media buyers
• Participate and drive analysis of large digital marketing data, including traffic, revenue/cost, conversion trends, client success metrics, audience insights, forecasts etc., to identify patterns and provide actionable insights to drive growth, optimization, cost cutting and performance improvement
• Conceptualize and utilize statistical methods and data visualization techniques to convey a compelling business case for implementing recommendations based on data insights
• Proactively share insights and strategic recommendations with measurable and sizable business impact, offering solutions that consider the needs and goals of multiple business units
• Partner with the Yield and Data Science teams to drive decision-making via critical, time-sensitive insights about our publisher partners, ad placements, and opportunities to improve KPIs
• Drive meaningful conversations with Data Engineering and Data Analytics to improve data access, data platform, data flow and data accuracy
• Pivot quickly and smoothly between high-priority projects and changing business needs based on goals
• Foster solid working relationships with co-workers, leadership, and stakeholders to develop and maintain alignment in priorities, strategy, and vision across crucial initiatives

Preferred Qualifications

• MBA is a plus