Pricing Analyst II
Johnson Controls India COEE1
Johnson Controls
Applying data from both inside buildings and beyond, our customers can now manage operations systemically.What you will do
The Pricing Analyst II is responsible for developing pricing, researching various dimensions of ratemaking, and comparing cost factors. The Pricing Analyst will often work independently, but within a collaborative team environment. The Pricing Analyst may also interact with other teams such as Engineering, Sales and Customer Service.
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.
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Economics Engineering Excel Finance Mathematics Power BI Python R Research Statistical modeling Statistics Testing
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