Associate Analytics Manager

Associate Analytics Manager page is loaded## Associate Analytics Manager locations:
Oakland, CA - USA:
Pleasanton (CPC), CA - USAtime type:
Full time posted on:
Posted Todayjob requisition :
21254

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.
** Your role at Clorox:
** The Associate Analytics Manager accelerates business growth by translating data, analytical methods, and business knowledge into clear, actionable guidance for Business Unit (BU) partners. This role identifies and frames the right business questions, applies core Analytics & Data Science (A&DS) approaches to solve them, and brings forward insights that influence decisions across planning, investment, and performance management.
This role works closely with cross‐functional partners and the broader A&DS organization to build, scale, and embed advanced analytical capabilities. They strengthen functional excellence by developing best practices, improving processes, and ensuring that analytics consistently drives meaningful business impact. Success in this role requires strong business acumen, succinct communication, and the ability to shape decisions by bringing forward clear, evidence‐based points of view.
** In this role, you will:
**** Business Impact & Analytical Leadership
*** Develop recommendations and implications to guide Business Unit (BU) plans and drive business results.
* Promote the adoption of Analytics & Data Science (A&DS) methods that enable faster, smarter decision‐making.
* Ensure full utilization of consumer, competitive, and category analytics to guide cross‐functional strategies with Marketing, Sales, Finance, and PSO.
* Apply advanced analytics techniques including:  + Marketing Mix Modeling (MMM)  + Test & control analysis (ANCOVA)  + Multi‐Touch Attribution (MTA)  + Predictive modeling and forecasting  + Price and promotion simulation  + Spend optimization  + Market structure interpretation
* Engage in core business planning processes like Integrated Business Planning and Multi‐Year Planning.
* Collaborate with A&DS teams to scale analytical capabilities and embed insights into key decision frameworks.
* Develop repeatable analytical approaches and automated workflows that improve speed, consistency, and decision quality across BUs.
** Technical Expertise & Data Fluency
*** Leverage visualization tools (Power BI, Tableau) to enable insight discovery and storytelling.
* Use SQL and Python to access, manage, and analyze data efficiently.
* Build automated data pipelines, scripts, or workflows to streamline recurring analytics tasks.
* Develop reusable code assets, templates, or tools that reduce manual work and improve efficiency.
* Demonstrate working knowledge of ETL pipelines, cloud platforms (Azure, GCP), and emerging genAI tools.
* Apply best practices in code organization, documentation, and reproducibility.
* Interpret complex datasets and synthesize findings into actionable insights for diverse stakeholders.
* Contribute to capability‐building across A&DS through process improvements and knowledge sharing.
** Communications, Influence, and Collaboration
*** Communicate complex analytical findings in clear, compelling ways to business and technical audiences.
* Influence cross‐functional teams through storytelling, data translation, and strategic framing.
* Translate automated or code‐based analytical outputs into clear, business‐ready insights.
* Build strong relationships with business partners and serve as a thought‐leader in the integration of analytics across functions.
* Act as a strategic partner to Marketing and BU leadership, aligning analytics with key priorities and opportunities.#LI-Hybrid
** What we look for:
**** Education & Experience
*** 2+ years of business experience with a bachelor’s degree, or 1–3+ years with an advanced degree
* Bachelor’s degree in Marketing Analytics, Economics, Statistics, Data Science, or a related quantitative field (Master’s or MBA strongly preferred)
* Background in…