Director, Ecommerce and Marketing Analytics

CSC Generation

1d•Remote

About The Position

Sur La Table, with 58 stores and the largest avocational cooking program in the US, offers a wide selection of exclusive and premium-quality goods for the kitchen and table, along with culinary expertise and inspiration. The company is seeking a Director, Ecommerce and Marketing Analytics to define how data, insight, and AI drive decision-making across the organization. This foundational leadership role serves as the analytical hub, supporting eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations. Embedded within the eCommerce organization, the role's company-wide mandate is to transform data into insight, insight into implications, and implications into clear, actionable recommendations. It is responsible for establishing analytical standards, governing AI-enabled workflows, ensuring data integrity, and elevating decision-making processes across the business.

Requirements

8+ years of experience in Analytics, Strategy, or Data Leadership roles.
Demonstrated experience leading analytics across multiple business functions.
Strong experience in commerce-driven businesses (retail, eCommerce, CPG, marketplace).
Comprehensive knowledge of all traffic acquisition channels and their downstream impact on site behavior, using that expertise to develop reliable forecasts that drive strategic decision-making.
Advanced SQL and strong analytical modeling capabilities.
Demonstrated experience designing and governing AI-enabled analytics workflows.
Strong capability to pressure-test AI-generated insights against data, customer behavior, and commercial logic.
Hands-on expertise with Heap or similar event-based web analytics platforms.
Comfort working with structured data formats (e.g., JSON), event schemas, and data instrumentation.
Experience defining KPI frameworks and resolving cross-functional metric misalignment.
Proven ability to translate complex data into clear, compelling stories that inform and influence executive decision-making - moving leadership from insight to action with confidence and conviction.
Track record of proactive insight generation, not reactive reporting
Ability to work standard Eastern Time business hours

Responsibilities

Serve as the primary analytics leader across eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations.
Own problem definition for analytics - determining which business questions matter and what decisions insights should inform.
Move analysis beyond “what happened” to “why it happened,” “how it happened,” and “what we should do next.”
Proactively mine data to identify risks, opportunities, inefficiencies, and performance drivers.
Influence senior leaders through clear implications and actionable recommendations.
Own the integrity, governance, and usability of core commerce, customer, and operational datasets across platforms (eCommerce, POS, CDP, email, data warehouse).
Validate insights using business context and commercial logic — not just technical correctness.
Define, document, and continuously evolve company-wide KPI frameworks in partnership with Finance and functional leaders.
Identify and resolve cross-functional metric misalignment to ensure a single, trusted understanding of performance.
Establish standards for data quality, documentation, and analytical transparency across the organization.
Leverage AI as a core component of advanced analytical work, including hypothesis generation, exploratory analysis, pattern detection, insight synthesis, and narrative development.
Design, operationalize, and scale repeatable AI-assisted workflows that support recurring company-level decisions (growth, margin optimization, inventory productivity, forecast alignment).
Establish validation frameworks to pressure-test AI-generated outputs against source data, historical performance, customer behavior, and commercial logic.
Embed AI-enabled insights into planning, forecasting, and executive performance reviews.
Promote responsible, explainable, and outcome-driven AI usage across analytics workflows.
Own web and digital analytics strategy using Heap, including funnel performance, customer journey analysis, and conversion optimization.
Ensure tracking integrity and event schema accuracy, including review of structured data formats (e.g., JSON, data layers) in partnership with Product Engineering.
Translate behavioral data into commercial implications that influence merchandising, marketing, inventory, and operational decisions.
Ensure behavioral insights are aligned with downstream systems and financial realities.
Reconcile demand, margin, inventory, and operational perspectives into cohesive performance narratives.
Support planning, forecasting, and performance alignment across Finance, Retail, Merchandising, and Operations.
Challenge assumptions and reframe business narratives using data-backed insight.
Serve as a connector between commercial strategy and operational execution.
Establish analytical standards that prioritize clarity, trust, commercial relevance, and decision impact.
Reduce reactive ad hoc work by building scalable, decision-focused reporting and automation frameworks.
Design the structure, workflows, and expectations for the analytics function.
Hire, mentor, and develop junior analytics talent once foundational systems are established.
Champion a modern, insight-driven analytics culture across the company.