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
Show the full description
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.
