RGM Analytics & Capabilities Lead — Hybrid

Kimberly-Clark; Chicago (IL); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible work model

Job summary

Kimberly-Clark seeks a Senior Manager Analytics & Capabilities in a hybrid role to drive Revenue Growth Management capabilities across the RGM organization. You will lead training development, manage complex analyses, and deliver scalable analytics tools that inform strategic decisions with cross-functional partners.

Responsibilities include deploying standardized RGM approaches, building dashboards in Excel/Power BI, and merging data sources to support commercial teams.

Qualifications

• Bachelor’s degree.
• 7+ years professional experience in CPG or consumer-focused analytics.
• 3+ years in Revenue Growth Management (RGM).
• Proven ability to lead projects and teams.
• Experience developing training content and standards.
• Strong Excel skills; familiarity with Power BI or Tableau.

Responsibilities

• Own deployment of standardized RGM processes and training across teams.
• Provide ad-hoc analyses for high-priority initiatives and develop scalable tools.
• Lead special RGM projects and ongoing tool maintenance.
• Develop and maintain analytical tools in Excel, Power BI, and other software.
• Integrate multiple data sources to deliver actionable insights for partners.
• Collaborate with Commercial Analytics and broader S&CA teams to align roadmaps.

Skills

Advanced Excel

Power BI

Tableau

Project management

Analytical thinking

Communication

Education

Bachelor's degree

Tools

NIQ/Circana

Data lake

Job description

Kimberly-Clark seeks a Senior Manager Analytics & Capabilities in a hybrid role to drive Revenue Growth Management capabilities across the RGM organization. You will lead training development, manage complex analyses, and deliver scalable analytics tools that inform strategic decisions with cross-functional partners.

Responsibilities include deploying standardized RGM approaches, building dashboards in Excel/Power BI, and merging data sources to support commercial teams.