Data Scientist
Listed on 2026-06-20
-
IT/Tech
Data Analyst, Data Engineering, Business Systems/ Tech Analyst, Data Warehousing
Career Area:
Technology, Digital and Data
Job Description:
When you join Caterpillar, you’re joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don’t just talk about progress and innovation here – we make it happen, with our customers, where we work and live.
Together, we are building a better world, so we can all enjoy living in it.
We are seeking a highly motivated Data Scientist to join our Digital & Analytics team. This role directly supports a manufacturing facility, working together with operations and support teams to identify business challenges, translating them into data‑driven solutions, and delivering actionable insights through analytics and reporting.
You will play a key role in gathering requirements, identifying relevant datasets, building scalable data logic, and delivering intuitive reporting solutions that enable better decision‑making across operations.
What you will do- Partner with cross‑functional stakeholders to understand business problems, define scope, and translate requirements into analytical solutions
- Identify, source, and validate data needed to solve operational and business challenges
- Develop SQL‑based data models and logic to support analytics and reporting use cases
- Design and deliver reporting solutions (primarily in Power BI) tailored to end‑user needs
- Perform exploratory data analysis to uncover trends, anomalies, and opportunities for improvement
- Collaborate with peers to ensure data quality, consistency, and best practices
- Contribute to the continuous improvement of analytics capabilities across the team
- SQL on Snowflake
- Power BI
- Exposure to Python and web frameworks such as Django (training provided)
- ETL and Orchestration Tools (Python and Dagster)
- Business Statistics:
Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. - Accuracy and Attention to Detail:
Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. - Analytical Thinking:
Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. - Programming
Languages:
Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. - Query and Database Access Tools:
Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. - Requirements Analysis:
Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non‑functionality requirements to ensure the success of a system or software development project.
- Strong analytical mindset with a passion for investigating data and solving problems
- Ability to work independently while managing multiple priorities
- Excellent communication skills, with the ability to interface effectively with diverse customer groups
- Comfortable translating ambiguous business needs into structured analytical solutions
- Collaborative team player who works well with peers and stakeholders
- Experience working with SQL to build queries, data models, and business logic for analytics
- Background in business analytics, including translating operational problems into data‑driven solutions
- Proven ability to work with stakeholders to understand challenges and convert them into reporting and analytical outputs
- Experience developing reports and dashboards (Power BI or similar tools)
- Advanced data engineering and architecture exposure (ETL, orchestration, modeling)
- Expansion into full‑stack analytics and application development (Python/Django)
- Opportunities to take ownership of…
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