This role sits at the intersection of:
- Analytics Engineering
- Marketing Science
- Digital Analytics
- Data Products
- Decision Science
- Executive Storytelling
The successful candidate will be equally comfortable discussing SQL architecture, experiment design, attribution methodology, business strategy, and executive recommendations.
Core Requirements
Technical Depth
Advanced SQL & Data Modeling
Must demonstrate experience with:
- 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
Experience with:
- 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
The individual must be able to:
- 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
Job Summary
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.
Major Tasks, Responsibilities, and Key Accountabilities
- 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.
Education and Experience
- 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.
