| Senior Data Analyst || Greensboro, NC (Onsite) || ONSITE ON DAY 1 || Locale Candidates at Greensboro, North Carolina, USA |
| Email: [email protected] |
| Please share Local profiles to NC Role :- Senior Data Analyst Location :- Greensboro, NC (Onsite) Job Description :- Collect, visualize & analyse data for opportunities / problems defined by the business. Able to extract and structure data using specialized analytics tools. Build data models and standard reports and tools for a wider user community.What You Will be Doing The Cab Engineering Team is dedicated to advancing the development of digital twin models for the simulation-based verification and validation of our heavy truck designs. Your role will involve the challenging task of assisting our team in collecting and analyzing data from various sources to enhance the correlation between our digital twin models and physical testing. This collaborative effort will include working closely with our Features and Verification/Validation department, evaluating physical testing data to refine the digital twin model for the strength and durability of different components and sub-systems in heavy trucks. To broaden our understanding of statistics related to future planning for passive safety development, you will leverage external resources such as government databases on automotive and truck crash examples. We seek a skilled and customer-focused engineer capable of effective communication with component stakeholders across the organization. Your role will help ensure that components and systems meet performance standards and life expectancy. The selected candidate is expected to provide professional expertise as a data analyst to subject matter experts in the vehicle engineering organization. This includes innovating ways to leverage data for process improvement, leading with limited supervision, performing complex analysis, reporting results to stakeholders, and recommending areas of improvement to designs. Moreover, the chosen candidate will champion the enhancement of our Computer-Aided-Engineering (CAE) methodology to increase the accuracy and efficiency of our simulation models to ultimately drive the implementation of digital twin technologies. Responsibilities Translate data into engineering presentations that clearly communicate to the Cab Analysis engineers the findings and how the outcome can be utilized in correlating simulation models to physical testing Work with engineering, testing, and project teams to plan, develop, and coordinate test plans, provide instrumentation roadmaps, and interpret test data to make design recommendations Synthesize information from a variety of resources (simulation/test results, technical requirements, historical data etc.) and identify areas of improvement for various functional aspects of heavy duty trucks, and form actionable technical recommendations for stakeholders across the engineering organization Develop confidence between Product Development and the Feature Vehicle Validation teams by providing and proving correlation between analysis results and physical verification of complete vehicles Champion quality and effectiveness of best practices, tools, and methods Coordinate with global technical strategy teams on developing and improving simulation strategies through collected data analysis Work cooperatively with cross-functional teams to translate and interpret durability, crash, and NVH data to help drive digital twin models Communicate results effectively to project and feature leaders across the organization Education and Experience Bachelor's Degree in Computer Science, Engineering or a related field, Master's Degree preferred 5 years of experience in data analysis with experience in the automotive or transportation industry. Heavy duty vehicle experience is preferred. Strong background in fundamentals of durability and fatigue analysis Experienced in data visualization is required (PowerBI and advanced analytics) Agile methodology Familiarity with Database Management Systems (BDMS) and proficiency in querying and manipulating data using SQL. Proficiency in statistical analysis tools and programming languages such as Python and SQL. Understanding of machine learning techniques for data analysis, and the ability to apply statistical methods to extract insights and make data-driven decisions. Experience in machine learning techniques for predictive modelling. Understanding of the Agile methodology and way of working. Professional Competencies A strong attention to detail with the ability to accurately interpret results and come up with recommendations to meet project goals Experience in quantitative and qualitative data analysis Ability to manage multiple tasks using analytical and critical thinking skills Ability to network with individuals and teams across various departments and sites, share information and resources as needed, and work towards achieving common group goals An effective communicator who can listen effectively, transmit information accurately, and actively seek feedback from other experienced engineers, project managers, etc. Ability to deliver on commitments in a timely manner with high quality results Able to perform a wide range of tasks, respond positively to changing timelines and/or project scope, and open to accepting new challenges, responsibilities, and assignments Willing to experiment with new ideas and designs, and apply knowledge from past learnings in improving outcomes Excellent communication skills with the ability to communicate highly technical information to people of varying technical ability A strong desire and passion to create the very best product, working as an integral part of a highly technical organization Thanks and regards, Sunil Kumar Yadav Technical Recruiter w: www.e-solutionsinc.com e: [email protected] Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability. -- Keywords: information technology North Carolina |
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| Tue Jan 09 23:18:00 UTC 2024 |