Risk Analytics Consultant

Career Area:

Business Technologies, 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.

Your Work Shapes the World at Caterpillar Inc.

Our common values and focus on inclusion and respect drive the decisions made by our company, teams and people. This is why we are committed to hiring and building diverse teams representative of the customers we serve globally. When you join our team, you can apply your unique life and job experiences and work in an environment where your ideas are heard, your contributions are celebrated, and your whole-self matters.

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.

About Cat Financial

Cat Financial is a subsidiary of Caterpillar Inc., the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For more than 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat® dealers for machines, engines, Solar® gas turbines, genuine Cat parts and services. Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe and Africa. Visit cat.com to learn more about Cat Financial.

Role Definition
Performs analytical tasks and initiatives on large amounts of data to support data-driven business decision and development.

This position requires technical skills as it handles the maintenance and ongoing enhancements for our Risk Management data lake architecture as well as the gathering and modeling of data sources.  Included in the scope of this position is further development of analytics, insights and visualizations focused on portfolio health and machine connectivity data.

Key Skills Summary

•    Technical skills: Proficiency using data extraction and manipulation tools (e.g. Power Query, SQL), data visualization tools (e.g. Power BI, Tableau), and low code / no code tools (e.g. Alteryx, Power Apps).

•    Communication: Strong ability to communicate complex concepts and collaborate effectively with various teams (BIDS, Cat Digital for example).

•    Project management: Planning, executing, and documenting projects to ensure they are completed on time.

Responsibilities
•    Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
•    Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
•    Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
•    Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

Degree & Experience Requirement
A 4-year college or university degree in a business discipline preferably in Accounting, Statistics or Computer Science and a minimum of 3 years exempt experience in accounting, credit, collections, analytics, financial analysis and/or a technology related role is recommended. 

Skill Descriptors
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
 Level Extensive Experience: 
•    Generates and interprets a wide range of statistical data and reports.
•    Utilizes in-depth knowledge of several statistical tools or applications.
•    Consults and coaches others on sampling approaches and associated statistical significance.
•    Teaches use of standard deviation, correlation, and covariance on various types of data.
•    Establishes metrics and surveys with reasonable and appropriate randomness and sample size.
•    Instructs others in statistical concepts and techniques and their application to business.

Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
 Level Extensive Experience: 
•    Evaluates and makes contributions to best practices.
•    Processes large quantities of detailed information with high levels of accuracy.
•    Productively balances speed and accuracy.
•    Implements a variety of cross-checking approaches and mechanisms.
•    Demonstrates expertise in quality assurance tools, techniques, and standards.
•    Employs techniques for motivating employees to meet or exceed accuracy goals.

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
 Level Extensive Experience: 
•    Seeks discrepancies and inconsistencies in available information; explains variances.
•    Organizes and prioritizes the sequence of steps to be taken to remedy the situation.
•    Identifies many possible causes for a problem based on prior experience and current research.
•    Approaches a complex problem by breaking it down into its component parts.
•    Chooses among a diverse set of analytical tools according to the nature of the situation.
•    Quantifies the costs, benefits, risks, and chances for success before recommending a course of action.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
 Level Extensive Experience: 
•    Monitors the operation and performance of machine learning projects.
•    Defines and implements the processes and work flows for machine learning projects.
•    Selects the appropriate modeling for machine learning projects, and calibrates as necessary.
•    Explains the logic, algorithms and emerging techniques of machine learning for beginners.
•    Performs complex tasks and initiatives of machine learning, such as image recognition.
•    Develops and applies a training framework on the subject of machine learning.

Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
 Level Extensive Experience: 
•    Assesses the impact of new productivity improvement tools or techniques for creating and writing programming languages.
•    Conducts walkthroughs and monitors quality of the development activities.
•    Consults on key issues and challenges of programming languages associated with the IT environment.
•    Oversees major developmental efforts adhering to the program's application system design.
•    Supervises the evaluation of multiple programming languages for diverse environments.
•    Discusses characteristics and advantages of different programming techniques.

Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
 Level Extensive Experience: 
•    Writes, debugs and implements complex queries involving multiple tables or databases.
•    Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages).
•    Teaches others about query optimization techniques and facilities.
•    Consults on query optimization, interactive queries, testing and verification.
•    Evaluates all major database access tools and functions for distributed databases.
•    Compares and contrasts the benefits and drawbacks of various SQL products.

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.
 Level Working Knowledge: 
•    Follows policies, practices and standards for determining functional and informational requirements.
•    Confirms deliverables associated with requirements analysis.
•    Communicates with customers and users to elicit and gather client requirements.
•    Participates in the preparation of detailed documentation and requirements.
•    Utilizes specific organizational methods, tools and techniques for requirements analysis.

This Job Description is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade.  It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job.  At the discretion of management, this description may be changed at any time to address the evolving needs of the organization.  It is expressly not intended to be a comprehensive list of “essential job functions” as that term is defined by the Americans with Disabilities Act.

#LI-Hybrid

Relocation is available for this position.Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.

Posting Dates:

September 19, 2024 - September 26, 2024

Any offer of employment is conditioned upon the successful completion of a drug screen.   

EEO/AA Employer.  All qualified individuals - Including minorities, females, veterans and individuals with disabilities - are encouraged to apply.

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