3 Analytical Processes Jobs

The Senior Instrumentation Designer plays a crucial role in completing various Instrumentation Design assignments with a high level of proficiency and minimal supervision. Serving as a valuable resource for colleagues with less experience in the field, the Senior Instrumentation Designer is responsible for ensuring the quality and accuracy of the team's work. By utilizing their expertise in analytical processes, they provide effective solutions to both routine and unique challenges, contributing directly to the overall success of the projects. Key responsibilities of the Senior Instrumentation Designer include preparing and developing detailed design drawings of superior technical quality, creating 3D models to ensure coordination with other disciplines, and delivering design documents in compliance with project specifications and schedules. They are tasked with familiarizing themselves with project scopes, specifications, and schedules, identifying and addressing potential issues early on, and communicating effectively with various stakeholders to ensure seamless collaboration across disciplines. Moreover, the Senior Instrumentation Designer is expected to actively participate in project meetings, review sessions, and site surveys as necessary, as well as engage in the development of project-specific design procedures and standards. They are responsible for generating and maintaining design documentation, conducting design verifications, and providing necessary inputs to support the work of other disciplines. Additionally, the Senior Instrumentation Designer plays a key role in resolving design-related construction challenges, monitoring project progress, and ensuring compliance with established procedures and timelines. Reporting to the Project Lead Designer and liaising with engineers, designers, and other stakeholders, the Senior Instrumentation Designer serves as a mentor to less experienced team members, offering guidance on technical procedures, standards, and best practices. By actively contributing to design reviews, audits, and continuous improvement initiatives, the Senior Instrumentation Designer plays a vital role in enhancing the overall efficiency and effectiveness of the design process. In summary, the Senior Instrumentation Designer at Lutech Resources is a seasoned professional with a strong background in Instrumentation Design, who excels in delivering high-quality design solutions, fostering collaboration across disciplines, and driving project success through their expertise and leadership.,

Department overview AutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. Responsibilities: Work closely with Product Management and Data Strategy leadership to understand short and long-term roadmaps, and overall Data product strategy Drive backlog grooming agile sprint ceremony, acting as bridge between business needs and technical implementation Present on behalf of agile teams in sprint review, reiterating business value delivered with each work increment completed Develop expertise on the existing aM ecosystem of integrations and data available within the system Collaborate with data analysts, data management, data science, and engineering teams to develop short and long-term solutions to meet business needs and solve distinct problems Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems Identify key value drivers and key opportunities for/sources of error across products and processes Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with engineering, QA, and data support Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions What Were Looking For: Basic Required Qualifications: Minimum 4 years working experience as a Product Owner or Product Manager in an Agile scrum framework Experience using data and analytical processes to drive decision making, with ability to explain how analysis was done to an executive audience Strong knowledge of Agile development framework, with practical experience to support flexible application of principles Strong conceptual understanding of data integrations technologies and standards Working familiarity with road-mapping and issue tracking software applications (Aha!, MS Azure DevOps, Salesforce) Familiarity with Microsoft Excel, SQL, BigQuery, MongoDB, and Postman preferred An advocate for the importance of leveraging data, a supporter of the use of data analysis in decision-making, and a fierce promoter of data and engineering best practices throughout the organization. Passionate about empirical research A team player who is comfortable working with a globally distributed team across time zones A solid communicator, both with technology teams and with non-technical stakeholders Preferred: Experience with or awareness of and interest in dimensional data modeling concepts B.tech/M.tech qualified. Grade: 9 Location: Gurgaon Hybrid Mode: twice a week work from office Shift Time: 12 pm to 9 pm IST

Department overview AutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. Responsibilities: Work closely with Product Management and Data Strategy leadership to understand short and long-term roadmaps, and overall Data product strategy Drive backlog grooming agile sprint ceremony, acting as bridge between business needs and technical implementation Present on behalf of agile teams in sprint review, reiterating business value delivered with each work increment completed Develop expertise on the existing aM ecosystem of integrations and data available within the system Collaborate with data analysts, data management, data science, and engineering teams to develop short and long-term solutions to meet business needs and solve distinct problems Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems Identify key value drivers and key opportunities for/sources of error across products and processes Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with engineering, QA, and data support Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions What Were Looking For: Basic Required Qualifications: Minimum 4 years working experience as a Product Owner or Product Manager in an Agile scrum framework Experience using data and analytical processes to drive decision making, with ability to explain how analysis was done to an executive audience Strong knowledge of Agile development framework, with practical experience to support flexible application of principles Strong conceptual understanding of data integrations technologies and standards Working familiarity with road-mapping and issue tracking software applications (Aha!, MS Azure DevOps, Salesforce) Familiarity with Microsoft Excel, SQL, BigQuery, MongoDB, and Postman preferred An advocate for the importance of leveraging data, a supporter of the use of data analysis in decision-making, and a fierce promoter of data and engineering best practices throughout the organization. Passionate about empirical research A team player who is comfortable working with a globally distributed team across time zones A solid communicator, both with technology teams and with non-technical stakeholders Preferred: Experience with or awareness of and interest in dimensional data modeling concepts B.tech/M.tech qualified. Grade: 9 Location: Gurgaon Hybrid Mode: twice a week work from office Shift Time: 12 pm to 9 pm IST