Pricing Analyst at Caterpillar responsible for Sales Variance processes and supporting sales teams in the Americas. Ensuring compliance on claims and merchandising programs while impacting quality goals.
About the role
- Senior Analyst developing scalable commercial analytics and business intelligence solutions. Collaborating with senior stakeholders to enhance client delivery and aid business development efforts.
Responsibilities
- Supports the delivery and evolution of advanced commercial analytics and business intelligence solutions across the Americas platform.
- Works in close collaboration with senior stakeholders, including brokerage/fee earner professionals, research leadership, and cross-functional analytics teams.
- Contribute to the development and delivery of scalable analytics tools and visualizations that support fee-based and strategic engagements.
- Collaborate with senior brokerage and other fee earning professionals to tailor analytics solutions for specific client needs and business development opportunities.
- Translate complex commercial real estate dynamics into compelling visual narratives.
- Assist in the implementation of automation pipelines and reporting redundancies that improve platform efficiency.
- Facilitate adoption of commercial analytics tools across the Americas Advisory business.
- Deliver training and support to fee earners and sales enablement teams to maximize platform utility.
- Apply advanced skills in data visualization, programming (Python, R), and database management (SQL, PowerQuery) to support analytics delivery.
- Proactively identify opportunities for tool development and automation.
Requirements
- Bachelors degree in Computer Science, Data Science, Statistics, Economics, Finance or related field
- 3-5 years of work experience in an analytical production environment
- 3-5 years of data querying experience (SQL)
- Proficiency in Python/R is a plus
- Familiarity with cloud & data services: Azure Data Services (Microsoft Fabric, Azure Storage, Blob Storage access control)
- 3-5 years of data integration experience: APIs, Excel automation, cloud data sources (Azure, SharePoint, SQL Server)
- Minimum of 2 years of data visualization and BI tool experience: PowerBI, DAX, PowerQuery M
- Domain Knowledge: Familiarity with real estate, transactional, and demographic/labor data structures and concepts.
- Soft Skills: Strong communication, problem-solving, and ability to work collaboratively across functions.
- Ability to multitask in a fast-paced environment.
Benefits
- health, vision, and dental insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid and unpaid time away from work
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