Business Analyst

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.