Razorfish is a modern marketing transformation partner focused on helping clients grow in today’s complex marketplace. Razorfish’s Commerce Capability has a solution for every commerce challenge. Our insight-focused team of 1,400 diverse, passionate and exceptional people are skilled in commerce strategy, media and marketplace investment, content, and merchandising to help brands maximize performance and growth. As part of Publicis Commerce Exchange (PCX), we bring together our comprehensive suite of commerce services combined with the media, experience and technology needed to implement, enable and optimize third-party and owned commerce experiences.  

Razorfish is looking for an Associate Director to join its Data Science and Analytics practice. 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 have ownership of data for at least one client (or portion of a large client) end-to-end and be the data science partner for our client teams. Associate Directors deliver data-driven strategic marketing insights and only need assistance from senior team members for high level meetings. Associate Directors are expected to manage their engagements and clearly define project deliverables and timelines.

Core areas of focus for this group include applications in customer segmentations, testing frame works, media and advertising measurement and optimization solutions, personalization, and forecasting.

Responsibilities

•  Build strategic measurement plans and learning agendas
• Oversee implementation of data strategy, ensuring measurement goals are met and KPIs are effectively captured, and data quality is accurate
• Understands needs and applications of advanced analytical methods and works with Data Science / Engineering / Instrumentation SMEs to ensure projects are planned and executed correctly
• Identifies and evaluates potential vendors and socializes vendors within the data team
• Ensure statistical concepts are built into appropriate projects, and leverage advanced analytic resources or methods when needed
• Provide insight into long-term implications of insights and recommendations across several channels
• Guide junior team members to build foundational reports, understand data implications, and presentations that highlight relevant results and proposed actions
• Lead cross-capability projects with other teams such as media and product management bringing data capabilities to the overall strategy
• Provide thought leadership by bringing new and innovative ways to improve client’s marketing goals, data sophistication and maturity
• Guide strategy and issue resolution by identifying key issues and objectives for prioritization and buy-in
• Help clients see longer-term opportunities and keep them informed of industry trends, recommending projects based on those trends
• Act as a key client partner for clients, understand client strategy and respond to client needs and feedback appropriately
 
• Supports new business pitches and cross-capability engagements
• Acts as a thought leader or SME within the data capability internally

• 6-10 years of experience in Marketing Analytics, Digital Marketing, or a business-related field
• Bachelor’s degree in any related field that includes significant quantitative study or equivalent experience
• Strong critical thinking skills, and are proactive about questioning the norm and pushing for improvements
• Demonstrated mastery of ad tech, mar tech, and data tools and platforms across multiple channels
• Fully able to organize and prepare well written documents independently, and guides the team in doing the same
• Able to synthesize complex analytical approaches and findings articulately and concisely

Technical Skills

• Expertise in analytics components of one or more marketing or media platforms such as Adobe, Google, or Salesforce
• Data Visualization experience leveraging tools such as Excel, Power BI, Tableau, Data Studio or similar
• Comfortable using one or more programming languages (such as R, Python, or SQL) within a data cloud environment or with a granular data set for data mining, advanced analysis, modeling, or other use cases

All your information will be kept confidential according to EEO guidelines.