Randstad Reliability Data Analyst III in Waterloo, Iowa

Reliability Data Analyst III

job details:

  • location:Waterloo, IA

  • date posted:Thursday, December 6, 2018

  • job type:Contract

  • industry:Professional, Scientific, and Technical Services

  • reference:659861

job description

Reliability Data Analyst III

job summary:

Reliability Data Analyst

Description:

  • Works closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and administration of database objects.

  • Work is of medium complexity and moderate in risk.

  • Has broad contact with responsibility to multiple departments and functional operations, and ongoing interaction with business contacts on tactical issues.

  • Serves as an effective and key team member in various roles including serving as a team lead.

  • Follows established processes for tasks with minimal review.

  • Uses discretion and judgment in planning own work/schedule and has some responsibility for planning

  • work/schedules for others on project-related work.

  • Impact of decision-making is medium risk and impact.

  • Actively works to share knowledge across work groups.

  • Applies information analyses to assist in the effective implementation and integration of a business process.

  • Integrates medium to complex changes to existing processes with minimal review.

  • Primarily performs as an individual contributor, but may supervise a small work team (6 or fewer members).

Duties :

  • Helps define processes for tasks with minimal supervision to create and manage physical data models for applications, data warehouse, and data marts.

  • Creates and manages logical data models for an enterprise and/or project level where projects are of medium complexity and moderate in risk.

  • Documents and maps interaction between business processes, information, and data to ensure that business has data integration for projects which are of medium complexity and moderate risk.

  • Performs gap analysis (including problem resolution and change management) and evaluation between information requirements and the quality of design of database and database administration environment of vendor purchased and/or outsource solutions, actively working to share knowledge.

  • Manages physical design and integration of databases to support information requirements where projects are of medium complexity and moderate in risk.

  • Serves as a key team member and may assume role of team lead to develop, implement, and support methodologies, standards, and tools for data management such as metadata management, data mining, data modeling, data cleansing, transformation and matching, data stewardship, data quality, data integration, data security, and data marts. Provides input to design of application systems and interfaces to ensure data access, integration, integrity, and security for projects which are of medium complexity and moderate risk. Performs database/application performance tuning, data transformation and mapping, backup, and recovery of application databases including disaster recovery with minimal supervision.

  • As a Reliability Data Analyst at Client , you will work on a cross-functional team focused on Engine Quality, Engine Reliability and Machine Health.

  • You will work to develop methods, tools and processes to mine warranty and machine data, analyze current reliability and predict future reliability.

  • There will be a focus on analyzing engine and machine data from multiple data sources as well as an emphasis on processing of large data sets and the use of machine learning and automation.

Responsivities include:

Use warranty and machine data to analyze and report quality and reliability of engines and components. This includes.

  • Work with database and IT teams to gather and clean vehicle and warranty data.

  • Working with Reliability teams to improve processing of warranty and telematics data.

  • Standardize Quality and Reliability reporting

Be passionate about providing Reliability Engineering support to a cross functional engine engineering team

Be energized by working for a world-class manufacturer of agriculture and construction equipment

Recognize the importance and demonstrate capability in building and maintaining strong interpersonal relationships

Requirements:

  • Bachelor's Degree in Computer Science, Engineering, or related discipline

  • Strong knowledge of data analytics, and business intelligence tools

  • Experience in programing; Python, R, or similar

  • Experience with SAS

  • Strong knowledge of database software and commands, emphasis on SQL and Microsoft Access

  • Experience with machine learning

Ideal Candidate:

  • Advanced degree or 5 years' experience working in Computer Science, Engineering or related discipline

  • Experience in reliability analysis

  • Experience with engines, heavy equipment and manufacturing

  • Experience with SAP

  • Experience with SAS Enterprise Guide or MDAW for processing quality and reliability data

  • Experience serving as a mentor in data science and statistical analysis to less experienced employees

location: Waterloo, Iowa

job type: Contract

work hours: 8am to 5pm

education: Bachelors

responsibilities:

  • Works closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and administration of database objects.

  • Work is of medium complexity and moderate in risk.

  • Has broad contact with responsibility to multiple departments and functional operations, and ongoing interaction with business contacts on tactical issues.

  • Serves as an effective and key team member in various roles including serving as a team lead.

  • Follows established processes for tasks with minimal review.

  • Uses discretion and judgment in planning own work/schedule and has some responsibility for planning

  • work/schedules for others on project-related work.

  • Impact of decision-making is medium risk and impact.

  • Actively works to share knowledge across work groups.

  • Applies information analyses to assist in the effective implementation and integration of a business process.

  • Integrates medium to complex changes to existing processes with minimal review.

  • Primarily performs as an individual contributor, but may supervise a small work team (6 or fewer members).

  • Helps define processes for tasks with minimal supervision to create and manage physical data models for applications, data warehouse, and data marts.

  • Creates and manages logical data models for an enterprise and/or project level where projects are of medium complexity and moderate in risk.

  • Documents and maps interaction between business processes, information, and data to ensure that business has data integration for projects which are of medium complexity and moderate risk.

  • Performs gap analysis (including problem resolution and change management) and evaluation between information requirements and the quality of design of database and database administration environment of vendor purchased and/or outsource solutions, actively working to share knowledge.

  • Manages physical design and integration of databases to support information requirements where projects are of medium complexity and moderate in risk.

  • Serves as a key team member and may assume role of team lead to develop, implement, and support methodologies, standards, and tools for data management such as metadata management, data mining, data modeling, data cleansing, transformation and matching, data stewardship, data quality, data integration, data security, and data marts. Provides input to design of application systems and interfaces to ensure data access, integration, integrity, and security for projects which are of medium complexity and moderate risk. Performs database/application performance tuning, data transformation and mapping, backup, and recovery of application databases including disaster recovery with minimal supervision.

  • As a Reliability Data Analyst at Client , you will work on a cross-functional team focused on Engine Quality, Engine Reliability and Machine Health.

  • You will work to develop methods, tools and processes to mine warranty and machine data, analyze current reliability and predict future reliability.

  • There will be a focus on analyzing engine and machine data from multiple data sources as well as an emphasis on processing of large data sets and the use of machine learning and automation.

qualifications:

Use warranty and machine data to analyze and report quality and reliability of engines and components. This includes.

  • Work with database and IT teams to gather and clean vehicle and warranty data.

  • Working with Reliability teams to improve processing of warranty and telematics data.

  • Standardize Quality and Reliability reporting

Be passionate about providing Reliability Engineering support to a cross functional engine engineering team

Be energized by working for a world-class manufacturer of agriculture and construction equipment

Recognize the importance and demonstrate capability in building and maintaining strong interpersonal relationships

  • Bachelor's Degree in Computer Science, Engineering, or related discipline

  • Strong knowledge of data analytics, and business intelligence tools

  • Experience in programing; Python, R, or similar

  • Experience with SAS

  • Strong knowledge of database software and commands, emphasis on SQL and Microsoft Access

  • Experience with machine learning

  • Advanced degree or 5 years' experience working in Computer Science, Engineering or related discipline

  • Experience in reliability analysis

  • Experience with engines, heavy equipment and manufacturing

  • Experience with SAP

  • Experience with SAS Enterprise Guide or MDAW for processing quality and reliability data

  • Experience serving as a mentor in data science and statistical analysis to less experience employees

skills:

  • Bachelor's Degree in Computer Science, Engineering, or related discipline

  • Strong knowledge of data analytics, and business intelligence tools

  • Experience in programing; Python, R, or similar

  • Experience with SAS

  • Strong knowledge of database software and commands, emphasis on SQL and Microsoft Access

  • Experience with machine learning

  • Advanced degree or 5 years' experience working in Computer Science, Engineering or related discipline

  • Experience in reliability analysis

  • Experience with engines, heavy equipment and manufacturing

  • Experience with SAP

  • Experience with SAS Enterprise Guide or MDAW for processing quality and reliability data

  • Experience serving as a mentor in data science and statistical analysis to less experience employees

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.