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 - Expertmetric frameworks, interpretation, QA, governance
• SQL - Advancedcomplex logic review, joins, data validation
• Power BI - Advanceddesign standards, model review, storytelling
• Data Validation & QA - Expert final sign off on data credibility
• Funnel & Conversion Analysis - Expertcross funnel strategy
• Product Analytics - Advancedsuccess metrics & outcome framing
• Experiment Readouts - Advancedimpact framing & risk interpretation
• Attribution (Working Knowledge) - Advancednarrative & leakage identification
• Project / Delivery Management - Advancedprioritization & dependency management
• Stakeholder Management - Expertexec alignment & influence
• Insight Storytelling - Expertexeclevel narratives
• Documentation & Standards - Advanced sets standards