Capabilities Senior Analyst at Clorox in Durham, NC
- Company: Clorox
- Location: Durham, NC - USA (Hill Bldg)
- Salary: $76K – $170K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-21
Job description
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 Sales Data Capabilities Senior Analyst leads execution for Clorox’s key LERs, including pacesetter customers such as Walmart, Amazon, and Costco. The role owns customer-facing BI products and converts priorities into trusted reporting, automation, analytics, and AI-enabled solutions. This role turns customer, digital, and market data into actionable insights that improve business reviews, planning, and decisions. It also supports cross-customer initiatives as needed and partners across SDC to scale consistent, reusable approaches. In this role, you will: Key LER Partnership & BI Products: Partner with key LER teams, including Walmart, Amazon, and Costco, and own the BI products, reporting, and enhancements that support their priorities and recurring business needs. Customer Intelligence & Scalable Solutions: Build consistent scorecards and analyses across key LERs, including Walmart, Amazon, and Costco, and translate repeatable needs into scalable reporting, automation, BI, and AI-enabled solutions. Business Insights & Adoption: Turn customer and market data into growth recommendations, improve asset adoption and usability, and retire duplicate manual reporting. Data Governance & Quality: Maintain accurate, consistent and accessible customer data through validation, documentation and compliant data use. Automation & AI: Automate recurring reporting and data preparation, using AI where it improves speed or insight quality. Team Collaboration & Cross-Customer Support: Partner across SDC to align customer solutions with shared standards, contribute reusable approaches, and support cross-customer initiatives as business needs requires. What we look for: Basic Qualifications: o 3 years of professional background, including data analytics or business experience o Experience with ETL processes and tools for data analysis. o Experience with relational databases (e.g., SQL-based querying). o Experience working with retailer, digital commerce, and syndicated data for key LERs, including pacesetter customers such as Walmart, Amazon, and Costco. o Strong proficiency in BI tools (Power BI, Tableau, Looker) for dashboard creation and reporting. Preferred Qualifications: o Experience mentoring or directing the work of others (e.g., co-ops, interns, project teams). o Experience presenting analytical findings and data solutions to diverse stakeholders o Experience supporting customer or category teams in a CPG sales environment (e.g., business reviews, customer planning, category management). Skills and Abilities · Minimum: o Working knowledge of multiple retailer business models and data environments, with the ability to compare performance consistently across customers. o Working knowledge of intermediate to advanced ETL processes for data extraction and validation. o Ability to write simple SQL queries to retrieve, filter, and join data. o Familiar with data schemas with ability to design, document, and communicate models. o Strong business acumen with the capacity to influence decisions through data storytelling. o Comfortable working cross-functionally and explaining data concepts to non-technical audiences. o Strong ability to prioritize tasks and meet deadlines while managing multiple data requests. · Desirable: o Familiarity with data governance principles, incl: taxonomy, lineage, and compliance standards. o Aptitude for identifying process improvement opportunities and implementing automation using scripting languages (SQL, Python) or similar tools. o Statistics: Understanding of concepts like distributions, regressions, and hypothesis testing. o Cloud/Data Platforms: Exposure to BigQuery, Snowflake, AWS, or Azure. o Bus
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