GOBankingRates ยท 14 hours ago
Digital Product Analyst (Media Insights & Analytics)
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Responsibilities
Strategize with embedded team 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) to build structured models and analysis to drive insights and actionable intelligence.
Participate in and drive the analysis of large digital marketing data, including traffic, revenue/cost, conversion trends, client success metrics, audience insights, forecast modeling, 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. Begin to build relationships with the Data Science Team for advanced data modeling.
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.
Qualification
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Required
3+ 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 modeling.
BA/BS in Mathematics, Statistics, Finance, Marketing, Economics, or a related field (MBA is a plus).
Intermediate to advanced knowledge in utilizing BI tools, such as Tableau.
Exceptionally high standards in communicating the results of analysis clearly and effectively.
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.
Preferred
Intermediate to advanced knowledge of SQL and querying relational databases (nice to have).