Senior Manager, Analytics Insights - (Value Transformation Office)

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:

As Senior Manager, Analytic Insights for Sales Analytics and Revenue Growth, you would have the opportunity to drive transformational change in how we drive profitable growth and consumer value through the power of analytics. Being human-centered is the core of our business, and we’re looking for someone with strong quantitative, consultative, and human insight skills to bring the holistic revenue picture to life. You would work cross-functionally with leaders in business units and analytics team mates to implement next generation net revenue management analytic capabilities. You would also be a change agent to evolve and deploy insights and optimizations for revenue management into marketing, sales and finance. You should be passionate about marketing, sales, data & analytics with a balanced mix of client-side experience/consulting, including a track record of using sales analytics to drive top line revenue and profit growth for brands and customer teams.

In this role, you will:

• Drive profitable growth via revenue management analytics covering trade promotion, pricing, mix management, and pack architecture.
• Conduct pricing and trade promotion measurement, optimization, predictive modeling, and ad hoc diagnosis. Lead price and promotion modeling from data QC and analysis to presentation and forecasting.
  • Price & Promotion simulation
  • Price/Promo modeling & Marketing mix modeling
  • Trade Measurement & Evaluation
  • Price Pack Architecture
  • Occasion Brand Pack Price Consumer landscapes

• Consult business units to implement optimal trade and pricing strategy, proposing recommendations to improve margins and maximize profitability for each brand.
  • Create long-term, strategic pricing recommendations and help build plans for pricing and trade promotion tactical execution. Collaborate with cross-functional teams including marketing, analytics, sales planning, customer teams, and finance to influence win-win decisions around revenue growth.
  • Partner closely with sales planning and customer teams to develop holistic, actionable recommendations taking business strategy and customer plans into account. Develop associated KPI’s to track and measure results.

• Develop, test, and improve scalable analytic capabilities to measure and optimize revenue management across the enterprise. Deliver those capabilities into the hands of business partners. Promote clear and transparent principles that enable in-market activation with retail customers.
  • Econometric modeling
  • Purchase structures/Consumer Decision Trees
  • Optimizers/Simulators

• Ability to transform data, build statistical models, and create predictive simulations using PYTHON/SQL/SPSS. Advanced Excel skills required.
• Enable enterprise-wide capability through benchmarking, meta-analysis, and training. Provide trade promotion and pricing thought-leadership and leverage industry best practices, technology, and trends.

What we look for:

• Bachelor’s degree or higher in analytics, business, marketing, finance, economics, or other relevant quantitative field. MS or MBA strongly preferred.
• Data Architecture skills required
• 7+ years of relevant experiences with bachelor’s degree. 5+ years of relevant experiences with graduate degree.
• Proven experience in retail sales analytics and internal or client-facing business consulting involving strategic pricing and retail trade promotion. CPG experience strongly preferred.
• Self-starter with the thought leadership, business acumen, and consultative skills to build shared interest and drive action.
• Hands-on experience with pricing and promotion analysis, marketing mix models (MMM), and IRI/Nielsen data. Retail category management, price pack architecture, or mix management is a plus.
• Presence, credibility, and ability to influence cross-functional stakeholders including business unit leaders, sales planning, retail customer teams, marketing, and finance through provocative dialog.
• Strong communication. Ability to translate complex data into succinct, actionable insights for business unit and function leaders.
• Ability to transform data, build statistical model