Caterpillar Inc. is looking to evolve its analytics capabilities by hiring a Data Scientist to work with internal customers, understand complex problems, and partner with data teams to design data products that answer business questions. This role will support decision-makers across the Construction Industries segment.
Requirements
- Skilled in using SQL, Dashboards (Tableau, Power BI), Python, Microsoft Excel, PowerPoint, Snowflake or cloud data services.
- Experience with data analytics techniques, automation, data science, AI to drive business KPI results.
- Beginner to Intermediate understanding of Python or another object-oriented programming language
- Technical background using datasets in SQL
- Experience creating visuals and modeling data in Power BI
- Ability to collect required business data through various data sources and apply data analysis techniques to establish, modify, and maintain business data structures
Responsibilities
- Transform business questions into technical requirements that can deliver flexible, sustainable data products to serve the business.
- Investigate and assess gaps in business process and data assets to recommend changes to and create new data products and automations.
- Develop engaging, actionable, and visually appealing reports and dashboards in Microsoft PowerBI (or other visualization techniques, including Python)
Other
- Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Effective Communications: Excellent oral and written communication skills. Demonstrated ability to effectively communicate and collaborate with internal and external business partners including senior leaders. Excellent human relations skills to develop a collaborative environment with leadership and key stakeholders.
- Business Assessment: Knowledge of the activities, tasks, practices and deliverables for assessing and documenting business opportunities; ability to assess the benefits, risks, and success factors of potential applications.
- Research Analysis: Knowledge of concepts, methodologies and methods of research analysis; ability to locate, interpret and evaluate research findings compiled and documented by others.
- Strong communication skills with the ability to explain work to business partners with limited data knowledge.
