Predictive Analyst

2 weeks ago


Newnan, United States CareerBuilder Full time

Predictive Analyst (Mining Equipment Support)

Analyzes large data sets for predictive modeling as it relates to supporting maintenance and support for extremely large mining equipment.
16th April, 2024

SUMMARY
This individual provides support to a fleet of mining excavators and trucks. You will be a technical expert on mining excavators/shovels (100+ tons) and mining trucks. Monitor machine performance through ConSite Plus and telematics data. Engage with dealers and customers where data indicates the need for action. Analyze data for component life based on location, application, etc. In addition to improving overall machine performance, this individual will ensure machine performance exceeds customer needs and deliver value to the company.

DUTIES

Provide performance analysis and recommendations based on telematic data.
Provides technical support for surface mining excavators and trucks.
Compliance with MARC.
Support of Hitachi mining systems (including ConSite, MPDr. Etc.)
Data Analysis based on Hitachi ConSite tools for major components including frame and hydraulic
Work with global teams to provide technical support for mining shovels/excavators & trucks.
Perform remote monitoring of customer fleet using telemetry.
Provide operational and maintenance solutions to improve uptime challenges.
Provide operational support to the internal, dealer, and customer.
Monitors machine performance through Hitachi programs including ConSite/ConSite Plus.
Monitor contract compliance and provide appropriate feedback where/when applicable.
16th April, 2024

SUMMARY
This individual provides support to a fleet of mining excavators and trucks. You will be a technical expert on mining excavators/shovels (100+ tons) and mining trucks. Monitor machine performance through ConSite Plus and telematics data. Engage with dealers and customers where data indicates the need for action. Analyze data for component life based on location, application, etc. In addition to improving overall machine performance, this individual will ensure machine performance exceeds customer needs and deliver value to the company.

DUTIES

Provide performance analysis and recommendations based on telematic data.
Provides technical support for surface mining excavators and trucks.
Compliance with MARC.
Support of Hitachi mining systems (including ConSite, MPDr. Etc.)
Data Analysis based on Hitachi ConSite tools for major components including frame and hydraulic
Work with global teams to provide technical support for mining shovels/excavators & trucks.
Perform remote monitoring of customer fleet using telemetry.
Provide operational and maintenance solutions to improve uptime challenges.
Provide operational support to the internal, dealer, and customer.
Monitors machine performance through Hitachi programs including ConSite/ConSite Plus.
Monitor contract compliance and provide appropriate feedback where/when applicable.
REQUIREMENTS
Technical/Science Degree or technical trades certification
2+ years working in a large volume data analyst role, ideally using tools such as programming languages (Python, R, Java, C/C++, etc), BI Tools (PowerBI, Tableau, SSRS, etc), and data mining/ETL (SQL, SSIS, Python, etc).
Strong preference for experience using time series data/databases and programming languages like InfluxQL.
Dealer process experience in the construction and/or mining industry, preferring experience and understanding of Telemetry/Telematics.
Knowledge or Ability and desire to learn how to create reports and dashboards.
Knowledge of surface mining industry and related equipment, mining truck, excavators, shovels in particular.
TRAITS
Passionate about interpreting and modeling data to predict future outcomes.
Strong verbal and written communication skills and comfortable dealing with all stakeholders (dealers, customers/end-users, co-workers, etc)
Able to shift gears on-the-fly and shift focus when priorities shift.
Analytical with ability to develop a keen understanding and awareness of data and interrelationships.

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