Omni Shopper Insights Lead

Clorox•Oakland, CA

26d•Hybrid

About The Position

Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: The shopper and retail commerce landscape is shifting faster than ever, blending online and offline behavior, retail media, social commerce, delivery platforms, and AI-driven journeys. Shoppers now discover, evaluate, and buy in atomized moments, not linear funnels. -The Omni-Insight Shopper Lead is a pivotal role that blends eCommerce analytics, shopper insights, and storytelling to unlock growth. You will lead the understanding of the Amazon and eCommerce shopper, synthesizing insights from platforms such as Stackline (Beacon, Atlas), Amazon Marketing Cloud (AMC), Circana, Numerator, and be proficient and conducting your own custom research to influence decisions across Sales, Retail Commerce, and BU Marketing. -This role is ideal for someone who sits at the intersection of analytics + insight + eCommerce, bringing the “art and science” needed to translate complex data into clear, actionable growth outcomes. -Incremental headcount required to support focus area of eCommerce and Amazon specifically, where regaining share across our portfolio is a priority. In this role, you will: 1) Omni-Commerce Insights (Amazon priority + key .Coms) Partner with Amazon customer teams, and BU marketing teams to decode shopper behavior and identify drivers of attraction, conversion, retention, and S&S loyalty. Leverage Stackline, AMC, and other eCommerce analytics platforms to connect shopper actions to business outcomes. Institutionalize a unified omni path-to-purchase model as the Sales Omni standard. Recommend and lead ad-hoc Shopper insight surveys that lay the foundation for illuminating the Shopper across Clorox categories and brands within eCommerce. Shape Amazon-specific shopper strategies that elevate commercial conversations and strengthen JBPs. 2) Online Shopping Behavior Insights (Cross-Retailer POVs) Map the modern eCommerce shopping journey across Amazon, Walmart.com, Kroger.com, Chewy, Petco, Target.com, and Dollar.com. Decode triggers such as branded vs. unbranded search, need-state-driven navigation (e.g., odor, dust, tracking), and competitive switching. Identify migration patterns across retailers and digital ecosystems. Illuminate factors that increase S&S propensity and online loyalty. Translate digital shelf analytics into recommendations that improve findability, search rank, click-through, and content clarity. 3) Loyalty, Repeat, & Cohort Behavior Partner with internal teams to unlock, repeat purchase analytics and drivers of loyalty. Identify triggers of attrition and moments that strengthen retention. Build retailer-specific loyalty and repeat-play strategies for Amazon and priority .Coms. 4) Digital Shelf Intelligence (Insight + Retail Media Integration) Synthesize insights across Stackline, AMC, Scintilla, Numerator, Circana, and retail media analytics. Identify friction points for shoppers across Clorox categories. Identify best in class digital shelf partners to lead focused insight work across prioritized customer teams (Amazon, Walmart and Chewy). 5) Custom Research + Ad Hoc Shopper Studies Lead ad hoc insight work, including short surveys, qual tasks, rapid digital tests, and shopper decision experiments to answer real-time questions. Integrate custom research with platform analytics to build a holistic, insight-rich narrative. 6) Cross-Functional Partnership & Influence Translate insights into compelling stories for Amazon teams, key .Com customer teams, BU Marketing, Category Leadership, and Retail Media. Present clear, concise narratives that influence senior leaders and customer decision-makers. Arm Sales Directors with retailer-specific insights that unlock Sell-In and JBP conversations. Partner with Category Leadership to connect shopper insights to physical + digital aisle logic. Help scale predictive insights and automation with Data Science partners.

Requirements

7–10+ years in a combination of: Primary Ad-Hoc Shopper Insights, qualitative and quantitative methods eCommerce & retail commerce analytics Data analytics / data science Retail media insights Digital shelf analytics
Technical + Analytical Skills Deep expertise in Stackline (Beacon/Atlas) and Amazon Marketing Cloud Strong working knowledge of Circana, Numerator, NielsenIQ; Scintilla familiarity is a plus Experience synthesizing data across transactional, behavioral, competitive, and media sources Lead, design and work with partners for quick-turn surveys and ad hoc shopper research Fluency with AI tools for insight synthesis, journey mapping, and automation Strong PowerPoint, Excel, PowerBI, and data visualization capabilities
Influence + Leadership Ability to simplify complexity and craft compelling narratives for senior stakeholders Experience influencing Sales, Marketing, and Retail partners Strong interpersonal and stakeholder management skills Comfortable testing, iterating, operating in ambiguity, and thinking end-to-end
Mindsets We Look For Builder , excited to create and scale a new capability End-to-end thinker, sees journeys, not isolated data points Bias for action , progresses quickly, even with imperfect data

Responsibilities

Omni-Commerce Insights (Amazon priority + key .Coms) Partner with Amazon customer teams, and BU marketing teams to decode shopper behavior and identify drivers of attraction, conversion, retention, and S&S loyalty.
Leverage Stackline, AMC, and other eCommerce analytics platforms to connect shopper actions to business outcomes.
Institutionalize a unified omni path-to-purchase model as the Sales Omni standard.
Recommend and lead ad-hoc Shopper insight surveys that lay the foundation for illuminating the Shopper across Clorox categories and brands within eCommerce.
Shape Amazon-specific shopper strategies that elevate commercial conversations and strengthen JBPs.
Online Shopping Behavior Insights (Cross-Retailer POVs) Map the modern eCommerce shopping journey across Amazon, Walmart.com, Kroger.com, Chewy, Petco, Target.com, and Dollar.com.
Decode triggers such as branded vs. unbranded search, need-state-driven navigation (e.g., odor, dust, tracking), and competitive switching.
Identify migration patterns across retailers and digital ecosystems.
Illuminate factors that increase S&S propensity and online loyalty.
Translate digital shelf analytics into recommendations that improve findability, search rank, click-through, and content clarity.
Loyalty, Repeat, & Cohort Behavior Partner with internal teams to unlock, repeat purchase analytics and drivers of loyalty.
Identify triggers of attrition and moments that strengthen retention.
Build retailer-specific loyalty and repeat-play strategies for Amazon and priority .Coms.
Digital Shelf Intelligence (Insight + Retail Media Integration) Synthesize insights across Stackline, AMC, Scintilla, Numerator, Circana, and retail media analytics.
Identify friction points for shoppers across Clorox categories.
Identify best in class digital shelf partners to lead focused insight work across prioritized customer teams (Amazon, Walmart and Chewy).
Custom Research + Ad Hoc Shopper Studies Lead ad hoc insight work, including short surveys, qual tasks, rapid digital tests, and shopper decision experiments to answer real-time questions.
Integrate custom research with platform analytics to build a holistic, insight-rich narrative.
Cross-Functional Partnership & Influence Translate insights into compelling stories for Amazon teams, key .Com customer teams, BU Marketing, Category Leadership, and Retail Media.
Present clear, concise narratives that influence senior leaders and customer decision-makers.
Arm Sales Directors with retailer-specific insights that unlock Sell-In and JBP conversations.
Partner with Category Leadership to connect shopper insights to physical + digital aisle logic.
Help scale predictive insights and automation with Data Science partners.