Data Specialist

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining 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 dontjust 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.

Role Definition:

Employs data analytics to assess an organizations technical performance and makes system enhancement recommendations using Data Analysis (Power BI tools).

Responsibilities:

• Preparing and Transforming the date using Python and SQL programming.
• Managing Power Bi dashboard for business use.
• Analyzing the data and Assisting business decision.
• Analyzing customer requirements based on the understanding of conformed models and catering solutions that are implementable and maintainable.
• Discerning data accuracies in large sets of data of diverse formats
• Researching designing and documenting data specifications at all points in the production life cycle.
• Understanding software development and web technologies and having proficiency in SQL and other data programming languages.

Skill Descriptors:

Value Realization: Knowledge of value realization methods; ability to plan execute monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.

Level Basic Understanding:

Describes the importance of Value Realization milestones for longterm projects.

Assists in measuring and attaining postproject implementation value.

Identifies process changes or business value integration in change initiative plans and activities.

Contributes to project team communication regarding the linkage of a change initiative to its associated business goals and case.

Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple clear language appropriate to the audience.

Level Working Knowledge:

Uses comparisons to familiar ideas when introducing a technical or novel feature.

Separates fundamental concepts from supporting details in explaining a product or service.

Explains products and services with little or no use of technical jargon or advanced vocabulary.

Emphasizes the most important facts or features of a product or service.

Perceives lack of audience comprehension; further simplifies explanation when needed.

Agile Development: Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies disciplines practices and techniques for the delivery of new and enhanced applications.

Level Working Knowledge:

Explains a specific agile process and its associated checkpoints and deliverables.

Works with a specific agile development methodology.

Interprets metrics used to measure progress and effectiveness.

Defines key selection and qualifying criteria for projects suitable for agile development.

Applies major tools and techniques associated with the specific methodology.

Cloud Computing: Knowledge of the concepts technologies and services of cloud computing; ability to design deploy and implement cloud computing solutions in various business environment.

Level Working Knowledge:

Works with a specific cloud service model such as Infrastructure as a Service (IaaS) or Software as a Service (SaaS).

Follows established procedures in defining client requirements for cloud services.

Implements a specific cloud service model such as Infrastructure as a Service (IaaS) Software as a Service (SaaS) or Serverless computing.

Carries out tasks under supervision to increase capacity or add capabilities through cloud computing.

Documents and resolves basic problems related to cloud security.

Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organizations database that runs effectively and efficiently for better business outcome.

Level Working Knowledge:

Researches relationships between different business data sets.

Participates in the establishment of data structures based on their relationships.

Adheres to an organizations database design policies.

Utilizes database design tools and techniques.

Tests the effectiveness of the database before its release for business use.

ETL Process: Knowledge of the extraction transformation and loading (ETL) process; ability to develop a database through the ETL process.

Level Working Knowledge:

Ensures the accuracy and effectiveness of data provided for the warehouse.

Loads selected data into the warehouse on a regular basis.

Derives necessary business or technical information from original data.

Acquires a large amount of data from different sources/systems.

Solves technical and administrative problems during the ETL process.

Information Management: Knowledge of an organizations existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources and distribute this information to enhance operational efficiency.

Level Extensive Experience:

Directs the implementation of information processing and operation standards to protect and manage information assets.

Develops capabilities features and uses for major IM platforms.

Coaches others on issues and considerations for managing structured vs. unstructured data.

Advises on improvement plans for existing and forecasted information architecture.

Consults on all major information management platforms and practices.

Consults on information architecture concepts disciplines and practices.

Modeling: Data Process Events Objects: Knowledge of data process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data processes or events.

Level Working Knowledge:

Defines common types of data processes or event models.

Participates in model reviews and walkthroughs.

Explains existing models to clients and describes their associated business processes.

Focuses on modifying Data Structure Access and Entity Relationship Diagrams.

Prepares reports to recap current findings and issues in data processes or event models.

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.

Posting Dates:

Caterpillar is an Equal Opportunity Employer.

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