How you will do it

Exhibit strong critical thinking, problem solving, and technical knowledge to challenge business assumptions and develop new methods, statistical models, and analyses that inform JCI s policies, pricing, and customer programs.
Demonstrate a continuous learning mindset and customer-centric approach to synthesize large datasets and translate analyses into insights.
Establish scalable, efficient, user-centric, and automated processes for large scale data analyses to support business processes and decision-making.
Analyze and review current and future state pricing models.
Examine competitor pricing and suggest pricing structures and models.
Track pricing and price changes based on commodity and material input changes.
Apply statistical modeling methods to determine the potential impact of pricing strategies on current and future state pricing.
Collaborate with sales and marketing departments to develop and implement competitive pricing strategies.
Develop dynamic pricing tools to effectively respond to changing market needs and trends.
Pricing Insights Perspectives Develop research and analysis on various dimensions of ratemaking and pricing strategy, which will be used to create a series of connected narratives and principles to engage a broad set of internal and external audiences.
Problem Solving Decision Support Support cross-functional teams across the company to resolve complex issues that typically require verbal, written, and visual communication with proposed recommendations presented to leadership in a simple, logical, and succinct manner.

What we look for

Bachelor s degree in Statistics, Mathematics, Data Science, Engineering, Finance, Economics or other quantitative related fields
Minimum of 8 years relevant experience working in a pricing and statistical analyst role
Experience conducting quantitative analysis and developing analytical models, dashboards, data visualizations, and decision-making tools
Experience using statistical computer languages (R, Python, SLQ, etc. ) to manipulate data and draw insights from large data sets
Experience in developing and optimizing Excel macros, VBA and Power BI dashboards
Experience with experimentation (i. e. , A/B testing experiment design)
Ability to synthesize data, research, and analyses into simple, concise, accessible, and actionable insights.
Strong critical thinking, problem solving, and analytical skills
Strong verbal, written, and presentation communication skills
Strong interpersonal and influencing skills
Experience interfacing and collaborating with peers, management, and other departments

Desired Qualifications

Master s in Statistics, Mathematics, Data Science, Engineering, Finance, Economics or other quantitative related fields.

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HR Recruiter

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HR Recuriter

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