Senior Marketing Technology & Data Consultant

Caterpillar•Mossville, IL

5d•Onsite

About The Position

This role leads the development of visualizations and customer-focused insights to accelerate technology adoption and utilization and demonstrate customer return on investment. It combines Power BI expertise and business intelligence to identify unmet customer needs, improve technology utilization, and demonstrate measurable customer value. The consultant works with data engineers, business stakeholders, sales teams, technology representatives, and customers to turn data into insights that influence decisions and drive outcomes. The position develops and maintains enterprise Power BI dashboards and reporting solutions, including executive scorecards, KPI reporting, and self-service analytics. It analyzes customer technology adoption and utilization, translates machine, customer, and business data into recommendations, and quantifies the effects of technology solutions on safety, productivity, efficiency, and ROI. The role also collaborates across data engineering, digital, commercial, product, and field teams to build scalable analytics solutions and mentors analysts and business partners in Power BI development and visualization design. The position is located in Mossville, Illinois, and requires working onsite five days a week. Travel is up to 10%. Relocation assistance is available; visa sponsorship/ISE are not available.

Requirements

Knowledge of value realization methods and the ability to plan, execute, monitor, and manage business activities and resources to achieve the value estimated in a business case.
Ability to communicate complex technical concepts clearly using effective presentation, summarization, and simplification techniques appropriate to the audience.
Knowledge of agile methodologies and the agile development lifecycle, and ability to use agile practices and techniques to deliver new and enhanced applications.
Knowledge of ETL processes and ability to develop a database through extraction, transformation, and loading.
Knowledge of information architecture and information management methodologies, and ability to collect, manage, and distribute information from different sources.
Knowledge of data, processes, and events, and ability to use tools and techniques to analyze and document their logical relationships.

Nice To Haves

Extensive experience developing business intelligence, data visualization, and analytics solutions.
Advanced Power BI expertise in data modeling, DAX, dashboard design, executive reporting, and performance optimization.
Strong analytical, problem-solving, and data storytelling skills.
Ability to translate business requirements into effective reporting and analytics solutions.
Ability to communicate technical concepts and analytical findings clearly to non-technical audiences.
Experience analyzing technology adoption, customer utilization, digital products, connected assets, or telematics data.
Proficiency with Snowflake or Python.
Experience in customer or aftermarket analytics, equipment technology solutions, or industrial markets.
Knowledge of KPI development, value realization, forecasting, and performance measurement.
Experience creating customer-facing insights and compelling data-driven presentations.

Responsibilities

Design, develop, and maintain enterprise Power BI dashboards and reporting solutions that enable data-driven decision-making.
Create intuitive visualizations that communicate complex business trends, opportunities, and performance metrics.
Develop executive-level scorecards, KPI reporting, and self-service analytics solutions.
Ensure visualizations follow best practices for usability, accessibility, performance, and business impact.
Analyze customer technology adoption and utilization data to identify trends, barriers, unmet needs, and growth opportunities.
Translate machine, customer, and business data into actionable recommendations that improve customer outcomes.
Quantify the impact of technology solutions on safety, productivity, efficiency, and return on investment.
Identify leading and lagging indicators for technology adoption, customer engagement, utilization, and business performance.
Collaborate with data engineering, digital, commercial, product, and field teams to build scalable analytics solutions.
Mentor analysts and business partners on Power BI development and visualization design.