Senior Data Specialist

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
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.
Who is CAT Digital? What do we do?
Big machines require big thinking. Are you looking for your next big challenge?
Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over one million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better world.
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.
Your Work Shapes the World at Caterpillar Inc.
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact, and do the work that really matters. Join Us.
Job Opportunity:
We are seeking talented individuals to join our team to help us grow our presence, organization, culture, which will drive our digital product development efforts. As a member of our team, you will have the opportunity to work with cutting-edge technologies and collaborate with top professionals working on very high impact and visibility products. Don't miss this chance to join and support digital innovation for a global leader in heavy machinery!
What will you do?
As a Senior Data Specialist within Integrated Product Management and help transform data into actionable insights which enable decision-making, through modern cloud-based data engineering and analytics solutions. This role sits within the BI Data Engineering team and supports the foundational data platforms that power digital products, reporting, analytics, and decision-making across the enterprise. In this role, you will:
Bring strong hands-on Power BI experience and use it extensively to build and support reporting, analytics, and semantic data solutions. Experience with Tableau, data governance, data quality initiatives, or master data management practices is an advantage.
Design, build, maintain, and troubleshoot analytical data products and data pipelines using Snowflake, SQL, Python, and modern development tools while helping improve data quality, consistency, and governance across multiple platforms.
Develop reliable, repeatable, and well-documented data products that support decision-making across various teams and groups.
Follow established coding standards, version control practices, and development workflows utilizing tools such as GitHub, VS Code, and GitHub Copilot.
Investigate data discrepancies, reporting inconsistencies, and production issues by tracing data through source systems, transformation logic, and downstream applications.
Partner with Product Owners, Business Analysts, Data Stewards, and Analytics teams to translate business needs into scalable technical solutions.
Develop practical documentation describing data definitions, transformations, technical specifications, and lineage, while participating in Agile development, team reviews, and continuous improvement initiatives.
What you have:
Power BI: Strong hands-on experience developing and maintaining reports, dashboards, data models, and analytics solutions. Power BI will be a key part of the day-to-day role.
Snowflake & SQL: Experience working with Snowflake and strong SQL skills for querying, transforming, validating, and troubleshooting data.
Python: Working knowledge of Python for data processing, automation, and supporting data engineering solutions.
Data Pipelines & ETL: Experience building, maintaining, and troubleshooting data pipelines and ETL processes across multiple data sources.
Data Engineering: Understanding of data modeling, transformations, data quality, lineage, and modern cloud-based data solutions.
Analytics & Reporting: Ability to turn business requirements and complex data into reliable analytical datasets, reports, and actionable insights.
Development Practices: Familiarity with Agile development, version control, testing, and tools such as GitHub, VS Code, and GitHub Copilot.
Communication: Ability to explain technical topics clearly and work effectively with both technical and business stakeholders.
Top Candidates will also have:
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Data Science, or a related discipline; equivalent experience demonstrating strong technical capability and measurable results will also be considered.
Experience in Data Engineering, Analytics Engineering, Business Intelligence, Data Analytics, Data Science, or a related technical data role.
Hands-on experience with Power BI, Tableau, dbt, semantic data layers, enterprise data architecture, data governance, data quality initiatives, or master data management practices.
Experience working with Snowflake, SQL, Snaplogic, Python, cloud-based data platforms, modern data engineering practices, and analytical data pipelines.
Familiarity with AI-enabled analytics, intelligent automation, agentic AI concepts, or modern development tools such as GitHub Copilot.
Strong communication, collaboration, stakeholder management, and technical documentation skills.
Ability to independently investigate complex data challenges, trace information across systems and reporting layers, determine root causes, and clearly communicate findings and recommendations.
Ability to operate comfortably between technical teams and business stakeholders while translating complex concepts into clear, actionable information.
Adaptability to changing priorities, balancing project work, troubleshooting, production support, and business requests in a fast-paced environment.
Curiosity, attention to detail, and a proactive approach to solving challenging data problems while contributing to a collaborative team environment.