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Senior Data Science and Analytics Analyst
2 months ago
Job Description
Razorfish is looking for a Senior Analyst to join its Data Science and Analytics Discipline. This is a custom analytics, research, and consulting team that delivers data-driven strategic marketing insights to our clients. Each member of the team is aligned to one or more clients and works closely with other DS team members, our clients, and colleagues across other disciplines such as Client Management, Search, Media, Strategy, User Experience, and Technology.
In this role, you will lead data-driven portions of projects across a large account, working with data leadership and fellow analysts.
Core areas of focus for this group include applications in customer segmentations, testing frameworks, media and advertising measurement and optimization solutions, personalization, and forecasting.
Responsibilities:
Analyze performance data for one (occasionally multiple) track of client's business
Compile regular reporting deliverables, including insight delivery
Build ad-hoc analyses as needed to unearth platform, experience, or market-level learnings
Craft client-facing presentations communicating insights, including data visualizations
Independently identify client needs to guide analysis/propose potential projects
Collaborate with fellow internal discipline teams within the account to build recommendations and optimizations off data trends
Own data portions of client presentations, with the expectation to participate and present as needed
Effectively communicate complex ideas to client contacts and internal partners
Own the usage of the respective data platform and guide additional learning
Guide measurement planning and project data requirements to inform technical implementation
Qualifications
2-4 years of experience in Marketing Analytics, Digital Marketing, or a business-related field
Strong critical thinking skills and proactive about questioning the norm and pushing for improvements
Basic knowledge of ad tech, mar tech, and data tools and platforms across multiple channels
Experience in using Excel for analysis, including pivot tables and data visualizations
Technical Skills:
Hands-on experience in analytics components of one or more marketing or media platforms such as Adobe Analytics, Google Analytics
Data Visualization experience leveraging tools such as Excel, Power BI, Tableau, Looker Studio, or similar
Understanding and experience using Google Ads, Google Cloud Platform, and BigQuery
Programming languages (such as R, Python, or SQL) applied to modeling, forecasting, or similar
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