Manager, Data Analytics

• Translate technical findings into business decisions
• Work directly with senior leaders
• Influence product, marketing, and technology teams
• Build trust in metrics and measurement
• Resolve conflicting business interpretations
• Act as the subject matter expert for analytics methodologies, Responsible for managing team efforts to develop easily repeatable reports and dashboards that allow internal clients to make data-driven decisions. Implements strategies that result in measurable financial returns. Works with various business stakeholders to develop insights and understand customer data., * Tests, analyzes, and solves data issues to ensure data integrity. Provides technical support for end users of the self-service business intelligence tool.
• Develops complex reporting dashboards and scorecards. Reports and analyzes data for all areas of the business to drive results and guide business intelligence decisions.
• Collaborates with Sales, Marketing, Customer Care, and Strategy to target insights and understand customer behavioral data.
• Provides support to multiple departments to ensure that business intelligence, analytics, and reporting needs are met and delivered through technology, architecture, processes, and tools.
• Manages project communications between all departments. Communicates directly with team members to monitor scheduled deliverables, relay revision requests, record progress, and address obstacles as needed.
• Designs and manages multivariate and/or A/B testing for marketing and web evolution.

Nature and Scope

• Solutions require analysis and investigation.
• Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience.
• Manages a group or team of professional individual contributors and/or indirectly supervises support staff.

Work Environment

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
• Typically requires overnight travel 20% to 50% of the time.

The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations., * Complex analytical data models

• Large-scale data transformation
• Multi-source data integration
• Window functions
• Complex CTE development
• Session-level and customer-level analysis
• Production-ready data model design

Analytics Engineering

Must have experience

• Snowflake or modern cloud data platforms
• Data pipeline ownership
• Data quality validation
• Metric governance
• Scalable analytics solutions
• Production dataset development

Digital & Ecommerce Analytics, * Clickstream analytics

• Customer journey analysis
• Search analytics
• Conversion funnels
• Attribution models
• Ecommerce performance measurement

Adobe Analytics experience is desired but not required.

Python

Strong preference for

• Pandas
• Automation
• Analytical workflows
• Reporting automation
• Data science tooling

Business & Leadership Expectations, * Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.