Digital Business Data Analyst, Advanced Insights

Caterpillar Inc.•Peoria, IL

1d•$97,530 - $146,290•Onsite

About The Position

The Digital Business Data Analyst will join Cat Digital’s Global Aftermarket Parts Data Management team and enable accurate, timely, and actionable insights for dealers, Cat Industry teams, and Cat product teams. The role supports prime and parts opportunity identification and parts and service growth strategies. The analyst supports critical insight, implementation, and operational issues; creates and improves insights based on business partner needs; and translates those insights into practical recommendations. The role uses digital technologies to make insights more timely, accurate, and scalable, and contributes to insight design, training, documentation, adoption, and problem-resolution practices. The position coordinates with product management and cross-functional stakeholders on insight quality, reliability, performance, usability, and maintenance. It also develops methods and evaluation criteria to monitor insight effectiveness, resolve product problems, and improve business outcomes. The position is based in either Chicago or Peoria, Illinois, or Irving, Texas. Relocation assistance and visa sponsorship are not available.

Requirements

Extensive knowledge of measurement techniques and ability to evaluate insight accuracy, timeliness, adoption, opportunity conversion, and business impact.
Extensive knowledge of dealer parts and service business processes, customer support needs, and growth levers.
Extensive knowledge of relationship management techniques and ability to maintain productive working relationships with dealers, Cat Industry teams, Cat product teams, and internal stakeholders.
Extensive knowledge of analytical tools, opportunity models, and data interpretation techniques.
Extensive knowledge of digital enablement practices and ability to create and deliver training.
Extensive knowledge of practices for preparing users for insight enhancements, digital technology changes, and data updates.
Working knowledge of change-control processes and procedures.
Experience working with large data sets and applying data analysis techniques to create accurate, timely, and actionable insights; typically 4+ years.
Ability to identify, investigate, and resolve data problems that affect insight quality, reliability, and stakeholder confidence.
Prior experience in data analysis, business analytics, digital product, or a related role supporting insight development and business decision-making.
Understanding of how industry teams use insights to support dealer and customer outcomes.
Experience working directly with dealers and field teams to understand business needs, translate feedback, and support parts and service growth strategies.
Knowledge of products, dealer operations, and parts and service opportunities that support customer value and dealer growth.

Responsibilities

Support major or critical insight, implementation, and operational issues affecting dealers, Cat Industry teams, and Cat product teams.
Create and improve insights based on stakeholder needs, emphasizing prime and parts opportunity visibility.
Translate insights into clear, actionable recommendations for dealer parts and service growth strategies.
Use digital technologies to provide more timely, accurate, and scalable insights for business partners and dealer-facing teams.
Contribute to policies and practices for insight design, training, documentation, adoption, and problem resolution.
Coordinate with product management and cross-functional stakeholders on insight quality, reliability, performance, usability, and maintenance.
Design and implement methods, techniques, and evaluation criteria to monitor insight effectiveness, resolve product problems, and improve business outcomes.
Evaluate insight accuracy, timeliness, adoption, opportunity conversion, and business impact for continuous improvement.
Create and deliver training to help dealers and business partners understand, apply, and sustain insights within parts and service growth plans.
Prepare users for insight enhancements, digital technology changes, and data updates; evaluate readiness, communicate impacts, and support adoption.
Manage changes in insight delivery, production data, and business processes.