Senior Business Intelligence Analyst

Caterpillar•Peoria, IL

19h•$112,710 - $169,060

About The Position

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. 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. We are seeking a talented and driven Senior Business Intelligence Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting enterprise data to provide actionable insights that will inform and guide our eCommerce strategy and decision-making. You will work closely with business leaders to understand their objectives, transforming complex data into clear and strategic recommendations to help drive our eCommerce success. As one of the team leads, you will also serve as both a technical expert and mentor to the team, helping guide team members in developing analytical solutions. You will also display the ability to take ownership, anticipate challenges and deliver results with minimal supervision.

Requirements

Leadership Skills: Building a relationship with team members in order to provide guidance and support throughout the analytical solution process; challenging team members, coaching, driving projects forward and ensuring high quality results.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Organization and Planning Skills: Ability to work on several projects / initiatives at a time plus ad-hoc requests while meeting deadlines and delivering on our promises to our business partners
Analytical curiosity: Constantly reassessing the business problem and letting the data take you to answer the next question you discover
Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
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.
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.
Research Analysis: Knowledge of the concepts, methodologies and methods of research analysis; ability to locate, interpret and evaluate research findings compiled and documented by others.
Bachelor’s Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field OR equivalent working experience
Experience in an analytical role
Strong proficiency in data analysis tools and software (e.g., Excel, Snowflake, SQL, Python, R).
Experience with data visualization tools (e.g., Tableau, Power BI).
Strong analytical skills with the ability to solve complex problems and pay attention to detail.
Driven in analytical thinking, anticipating the next question that will get asked by leaders regarding his/her insight results.
Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.

Nice To Haves

Advanced degree in a relevant field.
Experience with eCommerce tracking platforms (e.g., Google or Adobe analytics).
Knowledge of statistical techniques and data modeling.
Familiarity with A/B testing and other experimentation methodologies.

Responsibilities

Serve as a lead technical expert to team members, offering guidance and support to drive projects forward and ensuring high-quality deliverables
Gather and analyze data from various eCommerce platforms and sources to provide comprehensive insights.
Develop and maintain dashboards, reports, and visualizations to monitor key performance indicators (KPIs) and track business metrics
Partner with business leaders and teams to identify their data needs and deliver actionable insights to support their goals.
Utilize statistical methods and data mining techniques to uncover trends, patterns, and anomalies in eCommerce data.
Present findings and recommendations to stakeholders in a clear and impactful manner.
Evaluate the effectiveness of eCommerce strategies and initiatives, suggesting improvements based on data analysis.
Stay current with industry trends and emerging technologies to continually enhance data analysis practices.