Principal Analyst

Position Title: Principal Analyst Roles & Responsibilities: Conduct end-to-end product analytics to support feature development, shopper-journey optimization, and continuous improvement across web and app experiences. Utilize big-data analytics, experimentation, and test-and-learn methodologies to uncover actionable insights that drive the Digital Shopper Experience. Manage key quantitative measures across digital channels, including page engagement, site friction points, traffic and conversion metrics, personalization performance, and transactional behaviors.

Take an answers-first approach to analytics by understanding business objectives, determining what data is needed, and proactively shaping visibility into KPIs and product performance. Deeply understand data tables, schemas, and data architecture; partner closely with data engineering and business teams to design the optimal approach for extracting, modeling, and presenting data (BI dashboards, automated pipelines, ML-powered interfaces, etc.). Identify unmet data needs and work with cross-functional teams to ensure they are resolved in a timely and scalable manner.

Build automated and scalable reporting pipelines that provide intuitive, reliable visibility into product and shopper experience performance. Create clarity amid ambiguitytake initiative in shaping analytical approaches, defining requirements with stakeholders, and navigating complex or unclear data environments. Foster a data-driven culture by increasing accessibility to insights, improving data visibility across teams, and promoting best practices in measurement and experimentation.

Partner with product, UX, engineering, and business stakeholders to define success metrics, design experiments, and translate behavioral data into meaningful business outcomes. Communicate insights and recommendations clearly and succinctly to senior leadership, ensuring insights lead to well-informed decisions and strategic prioritization. Build trust and strong relationships across a wide variety of internal and external partners; represent the analytics function effectively and collaboratively.

Contribute to a test-and-learn culture by designing experiments, measuring impact, and driving continuous improvement across the customer journey. Experience Required: 12+years of experience in product analytics, digital analytics, or data analysis, ideally in e-commerce, retail, grocery, or consumer digital products. Experience conducting user behavior analysis, funnel analysis, and experimentation (A/B testing).

Strong SQL skills and experience with analytics tools (e.g., Snowflake, BigQuery, Databricks, Looker, Tableau). Familiarity with product development processes and agile methodologies; ability to partner effectively with product managers. engineersand UX teams. Experience defining KPIs, building dashboards, and automating recurring reporting.

Strong communication skills with the ability to translate complex data into actionable insights for both technical and non-technical audiences. Skills Required: Adobe Analytics - Expert metric frameworks, interpretation, QA, governance SQL - Advanced complex logic review, joins, data validation Power BI - Advanced design standards, model review, storytelling Data Validation & QA - Expert final sign off on data credibility Funnel & Conversion Analysis - Expert cross funnel strategy Product Analytics - Advanced success metrics & outcome framing Experiment Readouts - Advanced impact framing & risk interpretation Attribution (Working Knowledge) - Advanced narrative & leakage identification Project / Delivery Management - Advanced prioritization & dependency management Stakeholder Management - Expert exec alignment & influence Insight Storytelling - Expert execlevel narratives Documentation & Standards - Advanced sets standards