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Manager - Business Intelligence
Financial Engines
Sunnyvale, CA, United States
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• Leads and nurtures a team of talented analysts with a focus on customer acquisition and retention through a mix of channels (primarily digital) and integrated marketing.
• Translates business and analytics strategies into multiple short-term and long-term projects, and manages end-to end execution
• Evangelizes analytics insights that lead to strong hypotheses or decisions, and evangelizes innovative analytics ideas that enable new opportunities
• Drives analytics rigor by inspecting and experimenting methodologies, improving techniques, and creating a learning culture
• Drives data roadmap from data quality to data visualization, and marshals resources from multiple functions to deliver scalable solutions
• Roles-model ''win-together'' while challenging status quo and driving changes across teams regardless of organizational structure
Examples of Deliverable:
• Data insights to inform the future: development of KPis, business performance diagnostics, customer behavioral analyses, self-service analytics, etc. to drive actionable customer insights
• Data products to transform customer experiences: personalized features, data predictions, propensity modeling, etc. to make customer experiences more intelligent with data
• Data capabilities to improve productivity: data road map with data engineering partners, continuous process improvement, tool and platform adoption, etc. to raise data standards
• 6+ years of diverse analytics experience on end-to-end customer-level data
• Proven experience in leading a team of analysts and/or scientists
• Strong passion for uncovering strategic opportunities and solving business problems
• Proven experience in Digital Advertising analytics
Required Experience:
• Experience in leading measurement framework and attribution studies for Offline Advertising and Video campaigns
• Proficient with SQL
• Experience in statistical modeling techniques
• Experience in data gap assessments, requirements and infrastructure implementation
• Outstanding communications skills with both technical and non-technical colleagues
• Undergraduate degree a must. Masters in a quantitative discipline preferred