Issue Management Jobs in Chennai

Quality Data Analyst – Electrical Hardware EngineeringWarranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our Electrical Hardware Engineering team. This role will focus on Warranty Analytics, KPI Automation, Design Assessment, and the adoption of AI within our quality processes. The ideal candidate will possess a strong analytical background and a passion for leveraging data to drive improvements in product quality and operational efficiency. This is an onsite position. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks including: Performing Data Analysis to identify trends and patterns in warranty data, product performance, and manufacturing processes. Developing and maintaining KPI Reporting dashboards to track key quality metrics and provide actionable insights to stakeholders. Automating KPI generation and reporting processes to improve efficiency and accuracy. Conducting Root-Cause Analysis of quality issues and collaborating with engineering teams to implement effective Corrective Action Management plans. Utilizing Data Mining techniques to uncover hidden patterns and insights within large datasets. Applying Statistical Analysis methods to evaluate product performance and identify areas for improvement. Leveraging AI-Assisted Analytics and Generative AI to enhance data analysis capabilities and identify potential quality risks. Implementing Process Optimization strategies to streamline quality control processes and improve overall efficiency. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. 5-10 years of experience in a data analysis role, preferably within the automotive or technology industry. This level of experience indicates a proven ability to independently manage complex data analysis projects and deliver impactful insights. Data Analysis : A strong foundation in data analysis techniques, including data cleaning, transformation, and exploration. Data Visualization : Proficiency in creating compelling and informative data visualizations to communicate insights effectively. Dashboarding : Experience in designing and developing interactive dashboards using tools such as Power BI . KPI Reporting : Ability to define, track, and report on key performance indicators ( KPIs ) to measure quality performance. Data Storytelling : Skill in translating complex data into clear and concise narratives that resonate with stakeholders. Quality Tools : Familiarity with various quality tools and methodologies, such as Lean and Six Sigma . Issue Management : Experience in identifying, tracking, and resolving quality issues in a timely and effective manner. Root-Cause Analysis : Ability to conduct thorough root-cause analyses to identify the underlying causes of quality problems. Corrective Action Management : Experience in developing and implementing corrective action plans to prevent recurrence of quality issues. Process Optimization : Ability to identify and implement process improvements to enhance quality control processes. Power BI : Proficiency in using Power BI to create interactive dashboards and reports. Excel Analytics : Advanced skills in Excel for data analysis and reporting. SQL : Strong proficiency in SQL for querying and manipulating data. Python : Experience using Python for data analysis and automation. Databricks : Familiarity with Databricks for big data processing and analysis. Power Automate : Experience using Power Automate for automating data-related tasks. Warranty Data Analytics : Experience analyzing warranty data to identify trends and patterns. Cost Trend Analysis : Ability to analyze cost trends to identify opportunities for cost savings. KPI Automation : Experience automating KPI generation and reporting processes. Multi-Source Data Integration : Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics : Experience leveraging AI to enhance data analysis capabilities. Predictive Quality : Ability to use data to predict potential quality issues. Anomaly Detection : Skill in identifying unusual patterns or outliers in data. Generative AI : Familiarity with Generative AI techniques for data analysis and insights. Process Automation : Experience automating manual processes to improve efficiency. Data Mining : Ability to extract valuable insights from large datasets. Statistical Analysis : Proficiency in applying statistical methods to analyze data. Quality Metrics : Understanding of key quality metrics and their application. Data Definitions : Ability to define clear and consistent data definitions. What We Offer We offer a competitive salary of .

Quality Data Analyst – Electrical Hardware Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our Electrical Hardware Engineering, Warranty Analytics & Quality Automation team. This role will be instrumental in leveraging data to drive quality improvements, identify trends, and ensure the reliability of our products. The ideal candidate will possess a strong analytical background, a passion for data-driven decision-making, and a commitment to continuous improvement within the automotive and technology industries. Key Responsibilities The Quality Data Analyst will be responsible for a range of tasks related to data analysis, reporting, and process improvement. This includes conducting in-depth analysis of warranty data, identifying cost trends, and developing automated reporting solutions. The role will also involve collaborating with cross-functional teams to implement corrective actions and preventative measures to enhance product quality and reliability. Required Skills & Qualifications To be successful in this role, candidates must possess a combination of technical skills, analytical abilities, and a strong understanding of quality methodologies. Specific requirements include: Analytical Skills: Demonstrated ability to analyze complex data sets, identify patterns, and draw meaningful conclusions. Problem-Solving Skills: Proven ability to approach complex problems systematically, identify root causes, and develop effective solutions. Data Analysis: Proficiency in data analysis techniques, including statistical analysis and data mining. Data Visualization: Ability to create clear and compelling data visualizations to communicate insights effectively. Dashboarding: Experience in designing and developing interactive dashboards to monitor key performance indicators (KPIs). KPI Reporting: Ability to generate regular reports on KPIs and present findings to stakeholders. Data Storytelling: Ability to translate data into a narrative that is easy to understand and actionable. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis and automation. Databricks: Familiarity with Databricks for large-scale data processing and analytics. Power Automate: Experience with Power Automate for automating data-related tasks and workflows. Warranty Data Analytics: Expertise in analyzing warranty data to identify trends and opportunities for improvement. Cost Trend Analysis: Ability to analyze cost data to identify trends and potential cost savings. KPI Automation: Experience in automating the generation and distribution of KPIs. Multi-Source Data Integration: Ability to integrate data from multiple sources into a unified view. AI-Assisted Analytics: Experience leveraging AI to enhance data analysis and predictive modeling. Predictive Quality: Knowledge of predictive quality techniques to anticipate and prevent quality issues. Anomaly Detection: Ability to identify unusual patterns or outliers in data that may indicate quality problems. Generative AI: Familiarity with Generative AI techniques for data analysis and problem-solving. Issue Management: Experience in tracking and resolving quality issues. Root-Cause Analysis: Proficiency in conducting root-cause analysis to identify the underlying causes of quality problems. Corrective Action Management: Ability to develop and implement effective corrective actions to prevent recurrence of quality issues. DFMEA: Understanding of DFMEA (Design Failure Mode and Effects Analysis) principles. DRBFM: Understanding of DRBFM (Design Review Based on Failure Mode) principles. APQP: Understanding of APQP (Advanced Product Quality Planning) principles. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality improvement. Structured Problem Solving: Ability to apply structured problem-solving methodologies to address quality challenges. Power BI: Proficiency in Power BI for data visualization and reporting. Excel Analytics: Strong Excel skills for data analysis and reporting. Process Optimization: Ability to identify and implement process improvements to enhance quality and efficiency. Six Sigma: Knowledge of Six Sigma methodologies for process improvement. Quality Tools: Familiarity with various quality tools and techniques. Lean: Understanding of Lean principles for waste reduction and process improvement. Education: A Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline is required. Experience: The ideal candidate will have 5-10 years of experience in a related field, demonstrating a strong track record of success in data analysis and quality improvement. This level of experience is expected to provide a solid foundation for independent work and leadership within a team. What We Offer Salary:

Technical Lead-Project Management

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Technical Lead-Project Management professional to join our team in the Automotive industry. This role will focus on leading and guiding project teams through the complexities of vehicle development, ensuring successful project delivery and continuous improvement of our processes. Key Responsibilities The Technical Lead-Project Management will be responsible for overseeing and directing project activities, ensuring alignment with strategic goals and delivering high-quality results. This includes proactively identifying and resolving issues, fostering collaboration among team members, and effectively communicating project status to stakeholders. Required Skills & Qualifications Strategy Planning: Ability to develop and execute strategic plans that align with overall business objectives, considering market trends and competitive landscape. Issue Resolution: Proven ability to identify, analyze, and resolve complex issues that arise during project execution, utilizing problem-solving techniques and critical thinking. Vehicle Development Workflow: Deep understanding of the entire vehicle development lifecycle, from concept to production, and the ability to navigate its intricacies effectively. Project/Program Management Techniques: Proficiency in utilizing various * Project/Program Management Techniques *, including but not limited to Agile, Waterfall, and hybrid methodologies, to manage project scope, schedule, and budget. Process Improvement: Demonstrated ability to identify areas for process improvement and implement solutions that enhance efficiency, reduce costs, and improve quality. Conflict Management: Skillful in mediating and resolving conflicts among team members or stakeholders, fostering a collaborative and productive work environment. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly and concisely convey complex information to diverse audiences. Presentation Skills: Ability to create and deliver engaging and informative presentations to stakeholders at all levels. Leadership Skills: Strong leadership qualities, with the ability to motivate and inspire team members to achieve common goals. Stakeholder Management: Proven ability to build and maintain strong relationships with stakeholders, effectively managing expectations and ensuring alignment. Forecasting & Anticipation: Ability to accurately forecast project timelines and potential challenges, proactively anticipating and mitigating risks. Product Development Process: Comprehensive understanding of the * Product Development Process *, including design, testing, and validation phases. Vehicle Performance: Knowledge of * Vehicle Performance * metrics and their impact on overall project success. Education: A Bachelor’s degree / Master’s degree in mechanical or Automobile Engineering is required. Experience: A minimum of 8-12 years of relevant experience in project management within the automotive industry is expected. This level of experience indicates a seasoned professional capable of leading complex projects and mentoring junior team members. What We Offer Salary:

Technical lead

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Technical Lead to join our team in the Automotive industry. This is an onsite position requiring a strong technical background and proven leadership abilities. The ideal candidate will possess a deep understanding of vehicle development workflows and a demonstrated ability to manage complex projects and stakeholders. Key Responsibilities The Technical Lead will be responsible for guiding technical teams, resolving critical issues, and ensuring the successful execution of vehicle development projects. This role requires proactive identification of potential roadblocks and the ability to anticipate and mitigate risks. Required Skills & Qualifications Strategy Planning: Ability to develop and implement technical strategies aligned with overall business objectives. Issue Resolution: Proven ability to diagnose, analyze, and resolve complex technical issues effectively and efficiently. Vehicle Development Workflow: Comprehensive understanding of the entire vehicle development lifecycle, from concept to production. Project/Program Management: Experience in managing projects and programs, including planning, execution, and monitoring. Conflict Management: Skill in mediating and resolving conflicts within technical teams and across stakeholders. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Presentation Skills: Ability to deliver compelling and informative presentations to various audiences. Leadership Skills: Demonstrated ability to lead and motivate technical teams, fostering a collaborative and high-performance environment. Stakeholder Management: Experience in managing and building relationships with diverse stakeholders, including engineering teams, management, and external partners. Forecasting: Ability to accurately forecast technical requirements and timelines. Anticipate Issues: Proactive identification and mitigation of potential technical risks and challenges. SOP: Familiarity with Standard Operating Procedures and ability to ensure adherence to established processes. Education: Bachelor’s degree / Master’s degree in mechanical or Automobile Engineering. Experience: 8 - 10 years of relevant experience in a technical leadership role within the automotive industry. This level of experience indicates a seasoned professional capable of independently leading complex projects and mentoring junior team members. What We Offer Salary: Not specified.

Energy Management- Project Performance Engineer

RLE India Private Limited•

Pune

•full time

Key Responsibilities The responsibilities of this role will encompass a broad range of tasks related to vehicle performance and energy management, requiring a proactive and detail-oriented approach. Required Skills & Qualifications To be successful in this role, candidates must possess a strong foundation in automotive engineering principles and a proven ability to apply their skills to real-world challenges. The following skills and qualifications are essential: Education: A Bachelor’s/ master’s degree in the Mechanical or Automotive domain is required. Experience: 6 - 9 years of relevant experience are expected, demonstrating a senior level of expertise and the ability to lead and mentor others. Energy Management: Demonstrated expertise in energy management principles and their application to automotive systems. Vehicle Performance: A thorough understanding of vehicle performance characteristics and the ability to optimize performance through various engineering techniques. CO2 & Fuel Consumption: Knowledge of CO2 emissions and fuel consumption optimization strategies. Electric Range: Understanding of factors influencing electric range and methods for maximizing range in electric vehicles. Functional Synthesis: Ability to perform functional synthesis to integrate various vehicle systems effectively. Attribute Management: Experience in attribute management, ensuring vehicle attributes meet target specifications. Technical Scorecard: Proficiency in developing and utilizing technical scorecards to track progress and identify areas for improvement. DVP&R: Familiarity with the Design Verification and Planning (DVP&R) process. Homologation: Understanding of homologation requirements and procedures. Coast Down: Knowledge of coast-down testing and analysis. Emission Test Cycles: Experience with emission test cycles and their interpretation. Vehicle Simulation: Ability to utilize vehicle simulation tools for performance analysis and optimization. Powertrain: A strong understanding of powertrain systems and their impact on vehicle performance. Calibration: Experience in powertrain calibration techniques. Weights: Knowledge of vehicle weight management and its impact on performance. Benchmarking: Ability to conduct benchmarking studies to identify best practices and competitive advantages. Issue Tracking: Proficiency in issue tracking and resolution. Milestone Governance: Experience in milestone governance and project management. Management Reporting: Ability to prepare and present management reports. Microsoft Suite: Proficiency in Microsoft Suite , including PowerPoint , Excel (including Macros ), and Word . Power BI: Experience with Power BI for data visualization and analysis. AI Technology: Basic understanding of AI Technology and its potential applications in automotive engineering. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with a demonstrated ability to identify and resolve complex issues. Communication Skills: Exceptional communication skills, both written and verbal, with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership qualities with the ability to motivate and inspire others. Responsibility: A strong sense of responsibility and accountability. Networking: Ability to build and maintain strong professional networks. What We Offer We value our employees and offer a competitive compensation package. Salary:

Technical Program & Project Management Senior Associate

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a Technical Program & Project Management Senior Associate to join our team in Chennai. This is a hybrid role within the IT / Technology industry. Key Responsibilities This role will focus on the successful delivery of technical programs and projects, ensuring alignment with business objectives and adherence to established governance and best practices. Required Skills & Qualifications Project Management: Demonstrated ability to plan, execute, and close projects, utilizing established methodologies and best practices. This includes defining project scope, developing detailed project plans, and managing project resources effectively. Info Sys Admin: Experience in administering and maintaining information systems, ensuring optimal performance and security. Network Architecture: Understanding of network architecture principles and the ability to design and implement robust and scalable network solutions. Infrastructure Architectures: Knowledge of various infrastructure architectures and the ability to design and implement solutions that meet business requirements. Program Manage: Ability to manage complex programs consisting of multiple related projects, ensuring alignment with strategic goals and delivering desired outcomes. Project Documentation: Proficiency in creating and maintaining comprehensive project documentation, including project plans, status reports, and lessons learned. Windows Servers: Experience with Windows Servers , including installation, configuration, and maintenance. LAN/WAN: Understanding of Local Area Networks ( LAN ) and Wide Area Networks ( WAN ) concepts and technologies. Network - Convergence Technology: Familiarity with Network convergence technologies and their application in modern network environments. Video/Voice: Knowledge of Video and Voice communication systems and their integration into network infrastructure. Cyber Security: Awareness of Cyber Security principles and best practices, and the ability to implement security measures to protect sensitive data and systems. Demand and Value Management: Ability to analyze and manage demand effectively, ensuring alignment with business value and strategic priorities. Program Governance: Understanding of program governance principles and the ability to establish and enforce governance frameworks. Reporting: Ability to generate clear and concise reports to communicate project status, risks, and issues to stakeholders. Integration Management: Experience in managing the integration of various systems and components, ensuring seamless interoperability. Stakeholder Relationship: Ability to build and maintain strong relationships with stakeholders at all levels of the organization. Financial Planning: Understanding of financial planning principles and the ability to develop and manage project budgets. Risk Management: Ability to identify, assess, and mitigate project risks effectively. Issue Resolution: Ability to resolve project issues promptly and effectively, minimizing impact on project timelines and deliverables. Project Management Tools: Proficiency in using Project Management Tools for planning, tracking, and reporting on project progress. Demand Management Tools: Experience using Demand Management Tools to forecast and manage demand effectively. Experience Required: 4 - 4 years of experience. This level of experience indicates a senior associate role, requiring a proven track record of successfully managing technical programs and projects. Expectation is for a self-sufficient individual capable of working with minimal supervision and mentoring junior team members. What We Offer Salary: