Senior Reliability Engineer - Data Analytics

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. 

Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.

• Work with cross functional teams to develop actionable high impact data analytic solutions. 

• Assess and build upon existing tool architecture and implementations to support developing best in class "big data" approaches.

• Candidates need five+ years of experience. 

• Also, manager is not interested in candidates with primarily consultant experience/backgrounds. 

• Desires candidates with hands on experience. 

• Experience with writing scripts in SQL(Standard Query Language) 

• Experience with multiple programming languages and analytic tools such as SAS, R Programming Language, and/or Tableau 

• Experience with statistical analysis and /or data analytics methods Good communication skills. Minimum of 4 years education in Bachelor of Engineering such as Reliability, Mechanical, Electrical, Industrial, or equal amount of experience. 

• Analytical / problem Solving Skills In Any Of The Following Areas:

• Field Reliability Data Analysis

• Design for Reliability (DFR)

• Root Cause Analysis (RCA)

• Failure Mode and Effects Analysis (FMEA)

• Design of Experiments (DOE)

• Degradation Data Analysis

• Statistical Data Analysis. 

• Experience with Telematics Data (Diagnostic Trouble Codes, Machine/Engine Operating Conditions data). 

• Develop specific analysis reports and solutions for identifying patterns or trends related to reliability performance using Telematics data. 

To know more about the position or to schedule an interview, please contact:

Jeff Demaala

973-606-3249