Data Analytics Manager
Hotel Engine
PythonSQLTableau
Senior Manager, Analytics Insights
The Clorox Company
full-time
Posted on:
Origin: • 🇺🇸 United States • California, North Carolina
Visit company websiteSalary
💰 $106,700 - $252,200 per year
Job Level
Senior
Tech Stack
PythonSQLTableau
About the role
- 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; Tableau or Power BI
- Motivated by success and passionate about achieving results
- Persists in the face of difficulties and ambiguity, maintaining optimism and tenacity
- Able to plan, prioritize tasks, manage dependencies, and deliver on time
Requirements
- 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 models, and create predictive simulations using tools like R/SQL/SAS
- Advanced Excel skills required
- Experience with Tableau or Power BI
- Motivated by success and passionate about achieving results
- Persists in the face of difficulties and ambiguity, maintaining optimism and tenacity
- Able to plan, prioritize tasks, manage dependencies, and deliver on time
