Head of Analytics, eCommerce in Glendale, California at Home Organizers

About the company

Brio Water Technology, a Home Organizers, Inc. company, is a market leading water products brand that has helped millions stay hydrated through its unique and innovative product line. We offer full home water solutions designed to elevate the way people hydrate, combining sophisticated technology with modern, top tier design to deliver exceptional performance, customer satisfaction, and enhanced functionality.

About the role

We are seeking an analytically rigorous, commercially minded Head of Analytics to own the intelligence layer of our direct-to-consumer e-commerce business. This is a senior leadership role responsible for building and scaling the analytics function — setting strategy, establishing infrastructure, leading a team, and translating complex data into decisions that drive conversion, revenue, retention, and long-term growth.

The ideal candidate is a proven analytics leader who combines deep technical expertise with executive-level communication and a strong commercial instinct. You will serve as a trusted partner to the VP of eCommerce and work cross-functionally with Marketing, Product, UX, Engineering, and Merchandising to shape the end-to-end customer experience through data.

What you'll do

Analytics Leadership & Team Development

Build, lead, and mentor a high-performing team in the analytics discipline and foster a culture of rigor and curiosity.Define the analytics vision and roadmap in partnership with the VP eCommerce, aligning data strategy to business priorities.Act as the senior analytics voice in cross-functional leadership forums, translating findings into strategic recommendations at the executive level.Drive organizational data literacy by establishing standards, documentation, and training across eCommerce stakeholders.Own the analytics team's operating model — including sprint planning, stakeholder SLAs, and prioritization frameworks.Site Performance & Revenue IntelligenceOversee daily and weekly monitoring of website performance across traffic, conversion, revenue, AOV, and funnel progression — ensuring the team surfaces insights proactively.Establish executive-ready performance reporting cadences including daily recaps, weekly dashboards, and monthly business reviews.Lead root cause analysis on material performance shifts — conversion drops, checkout failures, tracking anomalies — with a clear point of view on remediation.Connect performance data to commercial levers: inventory, pricing, promotional strategy, and merchandising decisions.Funnel & Behavioral AnalyticsOwn end-to-end funnel analytics across the full customer journey: traffic acquisition → engagement → conversion → retention → LTV.Direct analysis of clickstream data, session recordings, heatmaps, and behavioral cohorts to uncover friction and opportunity.Establish audience segmentation frameworks by behavior, lifecycle stage, and acquisition channel to inform personalization and targeting strategies.Lead the analytics perspective on checkout, PDP, navigation, and search optimization initiatives.Experimentation & CRO StrategyLead the eCommerce experimentation program end-to-end — from hypothesis frameworks and test design to statistical analysis and revenue impact quantification.Partner with Product, UX, and Engineering to build a mature, scalable A/B and multivariate testing practice.Establish experimentation governance: test prioritization scoring, minimum detectable effect standards, and documentation protocols.Champion a data-informed product development culture across the eCommerce organization.Marketing & Attribution AnalyticsOwn channel performance analytics across paid media, SEO, email, affiliates, and direct — providing a clear view of blended and incremental ROAS.Lead attribution strategy — designing and maintaining multi-touch attribution models and overseeing marketing mix modeling initiatives.Partner with Growth, Lifecycle, and Performance Marketing leaders to optimize spend allocation and improve acquisition efficiency.Develop forecasting models that tie channel investment to revenue outcomes.Data Infrastructure, Governance & QualityOwn the analytics data layer — defining event taxonomy, tagging standards, and QA frameworks in partnership with Engineering.Establish and enforce data governance policies across GA4, CDP, BI tooling, and downstream systems.Ensure a single source of truth for eCommerce KPIs across all reporting surfaces.Evaluate, recommend, and onboard analytics and data tooling as the stack evolves.Drive data integrity audits and partner with Engineering to resolve tracking gaps and discrepancies proactively.

Qualifications

10+ years of progressive experience in analytics, with at least 3 years in a people management or analytics leadership role — ideally within a DTC, consumer products, or high-growth e-commerce environment.

Technical Expertise

Advanced proficiency in GA4 or equivalent enterprise analytics platforms, including ability to define implementation standardsSQL — expert level, including query optimization, complex joins, and data modelingBI tooling mastery — Looker, Tableau, Power BI, or equivalent (experience building org-wide reporting infrastructure strongly preferred)Deep hands-on experience with A/B testing platforms (Optimizely, VWO, AB Tasty, or similar) and strong statistical fluencyExperience architecting or managing a CDP (Segment, mParticle, or similar)Proficiency in attribution modeling methodologies: multi-touch attribution, MMM, and incrementality testingPython or R for advanced modeling and statistical analysis (strong plus)Experience with cloud data warehouses (BigQuery, Snowflake, Redshift) and transformation tooling such as dbtLeadership & Business SkillsDemonstrated ability to build and develop analytics teams — with a track record of hiring, coaching, and retaining top talent.Exceptional executive communication skills — capable of influencing senior stakeholders with data-driven narratives and clear recommendations.Strong commercial acumen with the ability to frame analytical findings in the context of revenue, margin, and customer lifetime value.Experience designing and scaling reporting infrastructure and data governance frameworks from the ground up.Proven track record leading a structured experimentation program with measurable business impact.Deep knowledge of CRO methodology, UX analytics, and digital merchandising principles.Comfortable operating in a fast-paced, multi-brand, or high-growth environment with competing priorities.Experience in subscription, loyalty, or repeat-purchase business models is highly valued.

WHY JOIN US

Shape the analytics function from the ground up — a greenfield opportunity to define data architecture, governance, and team structure.Operate at the intersection of strategy and execution, with direct visibility and access to executive leadership.Build the systems, processes, and team that power data-driven decisions across a fast-growing DTC business.Partner with brand, performance, lifecycle, and engineering leaders in a deeply collaborative operating model.Drive outsized, measurable impact — your work will directly influence revenue performance, customer experience, and long-term growth.Join an experienced leadership team with deep expertise in digital commerce, operating in a category experiencing strong, sustained growth.

Benefits / Perks

We believe in recognizing and rewarding our employees for a job well done. We offer growth potential for motivated individuals, competitive compensation, and a comprehensive benefits package, including:

Medical, Dental, Vision, Life Insurance401K Retirement PlanPaid Vacation TimePaid Holidaysand More!The pay range for this role is:144,000 - 167,000 USD per year(801 N Brand)