Senior Business Intelligence Analyst

Caterpillar Inc.•Peoria, IL

1d•$108,318 - $169,060•Onsite

About The Position

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. Your Work Shapes the World at Caterpillar Inc. 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 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable 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. Job Summary: The person will be a key member of Cat Digital’s Global Marketing & Brand organization, driving the next generation of data-driven marketing at Caterpillar. This role will focus heavily on marketing data insights, analytics, and reporting to support marketing strategies in close partnership with Enterprise Marketing business units and teams in Cat Digital including Digital Marketing Enablement & Marketing Technology/Data. The successful candidate will combine advanced technical skills with deep business acumen to transform complex Marketing & Digital Behavioral datasets such as GA4/Big Query, Paid Media, Social combined with Enterprise BI domain warehouses into actionable insights that improve business decision making, digital properties strategies and performance. This position requires a technically sound analyst who can learn the business & marketing data flows quickly and tell data stories through designing visualization & reporting solutions that align with data quality and reporting standards.

Requirements

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Business Data Analysis: Knowledge of business data analysis; ability to collect, identify, analyze and interpret business data using various kinds of techniques to meet business needs and requirements.
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.
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.
Technical Writing/Documentation: Knowledge of technical writing; ability to write technical documents such as manuals, reports, guidelines or documents on standards, processes and applications.
Product Design and Development: Knowledge of product features; ability to design, build, and develop a new product, technology, or service from concept through to production.

Nice To Haves

Business Data Analysis & Visualization: Highly skilled in using SQL, Cloud Data Services (Big Query, GA4, Snowflake), Data Visualization Platforms (Tableau, Power BI, Looker Studio), Python, Office365.
Familiarity with Data Science and AI solutions.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy, ability to complete tasks with high levels of precision.
Digital project management skills and familiarity with Agile development and supporting platforms (Azure DevOps, Adobe Workfront).
Familiarity with Salesforce CRMi Platform & Objects
Familiarity with Google Cloud Platform Products
Familiarity with Python Data Analysis and Science Libraries
Previous experience with Web & App Analytics
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 activities, tasks, practices and deliverables for assessing and documenting business opportunities; ability to assess the benefits, risks, and success factors of potential applications.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis.
Research Analysis: Knowledge of concepts, methodologies and methods of research analysis: ability to locate, interpret and evaluate research findings compiled and documented by others.

Responsibilities

Partner with Enterprise marketing business units’ teams to translate business questions into technical data requirements and deliver flexible, sustainable data products & solutions to support business partner marketing strategies and needs.
Partner with Digital Marketing Product Enablement teams to provide comprehensive web analytics in support of web domain design strategies.
Analyze and model complex, multi-source datasets (Digital Behavioral, Marketing, Transactional, and Master Domain) to uncover trends, risks, and opportunities.
Support the migration and integration of Business Unit specific data into Marketing Reporting data hub through building automated data pipelines leveraging SQL, Python, and cloud data services (Snowflake preferred).
Develop engaging, actionable, and visually compelling dashboards and reports using Tableau or Power BI that support business decision-making.
Ensure global standardization in data quality, reporting, and user experience across the business.
Collaborate with data engineers and scientists to integrate automation, and AI-driven solutions to improve KPIs.