3 Data Systems Jobs

As a growing manufacturer of UL heavy gauge steel fuel tanks, trailers, large generator enclosures, and modular metal enclosures, Global Power Components is dedicated to maintaining its position as an industry leader. Our newly renovated 300,000 sq. foot facility provides a conducive environment for our continued expansion. You will play a crucial role in the following areas: Job Costing and Reporting: - Take the lead in enhancing job costing and data systems in the ERP (Epicor) to optimize labor tracking and analysis. Process Management and Improvement: - Ensure all operational processes are in line with industry best practices and regulatory standards. Team Leadership: - Foster a culture of accountability, collaboration, and continuous improvement among team members. Qualifications: - Preferred Bachelor's degree in accounting, finance, or a related field. - Prior management experience, demonstrating the ability to lead a small team. - Familiarity with job costing and financial reporting principles. - Strong analytical skills with keen attention to detail. In this role, you can expect: - Full-time commitment with a typical workweek ranging from 40-50 hours, rarely exceeding 50 hours. - Joining a collaborative and supportive team environment that prioritizes personal and professional development. - Opportunities to contribute to system enhancements and significantly impact the operational success of the company. As an Equal Opportunity Employer, we welcome applications from individuals of all backgrounds. Join us at Global Power Components to be part of a dynamic team driving innovation and growth in the industry.,

Genpact is a global professional services and solutions firm that is committed to delivering outcomes that shape the future. With over 125,000 employees in more than 30 countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose is to relentlessly pursue a world that works better for people. We serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Associate, Data Analyst to join our team. As an Associate, Data Analyst, you will be tasked with performing pricing of spare parts and driving data analytics for the business. Your responsibilities will include reviewing pricing on a periodic basis, identifying gaps, and making recommendations to enhance pricing strategies. Your responsibilities will include: - Data extraction, collation, and cleaning in MS Excel/Access - Ensuring the pricing data in ERP is kept up to date by identifying necessary activities and executing them - Handling ad hoc pricing analytics requests - Conducting various statistical and pricing analyses in Excel/Access - Improving process efficiencies through digitization and the implementation of machine learning algorithms - Supporting clients on data systems and analysis - Using statistical tools to sanitize, segment, and normalize historical pricing information and master invoice data sets for better price rate distribution visibility Qualifications we are looking for: Minimum qualifications: - Master's degree in research, statistics, math, economics, or a related analytical discipline - Fresh graduates from reputable institutions or 2 years of relevant work experience in the data analytics domain - Curiosity is a key trait we seek Preferred qualifications: - Proficiency with analytical and presentation tools such as Excel, VBA, and PowerPoint - Strong analytical skills with the ability to gather, analyze, and leverage large data sets for key business decisions - Proficiency in basic statistics - A can-do mindset - Knowledge of R, Python, Tableau, and Power BI is advantageous If you are passionate about data analytics and pricing strategies, and if you possess the qualifications and skills mentioned above, we encourage you to apply for this exciting role of Associate, Data Analyst at Genpact.,

Johnson & Johnson MedTech is seeking a Sr Eng Data Engineering for Digital Surgery Platform (DSP) in Bangalore, India. Johnson & Johnson (J&J) stands as the world's leading manufacturer of healthcare products and a service provider in the pharmaceutical and medical device sectors. At Johnson & Johnson MedTech's Digital Surgery Platform, we are groundbreaking the future of healthcare by harnessing the power of people and technology, transitioning to a digital-first MedTech enterprise. With a focus on innovation and an ambitious strategic vision, we are integrating robotic-assisted surgery platforms, connected medical devices, surgical instruments, medical imaging, surgical efficiency solutions, and OR workflow into the next-generation MedTech platform. This initiative will also foster new surgical insights, improve supply chain innovation, use cloud infrastructure, incorporate cybersecurity, collaborate with hospital EMRs, and elevate our digital solutions. We are a diverse and growing team, that nurture creativity, deep understanding of data processing techniques, and the use of sophisticated analytics technologies to deliver results. Overview As a Sr Eng Data Engineering for J&J MedTech Digital Surgery Platform (DSP), you will play a pivotal role in building the modern cloud data platform by demonstrating your in-depth technical expertise and interpersonal skills. In this role, you will be required to focus on accelerating digital product development as part of the multifunctional and fast-paced DSP data platform team and will give to the digital transformation through innovative data solutions. One of the key success criteria for this role is to ensure the quality of DSP software solutions and demonstrate the ability to collaborate effectively with the core infrastructure and other engineering teams and work closely with the DSP security and technical quality partners. Responsibilities Work with platform data engineering, core platform, security, and technical quality to design, implement and deploy data engineering solutions. Develop pipelines for ingestion, transformation, orchestration, and consumption of various types of data. Design and deploy data layering pipelines that use modern Spark based data processing technologies such as Databricks and Delta Live Table (DLT). Integrate data engineering solutions with Azure data governance components not limited to Purview and Databricks Unity Catalog. Implement and support security monitoring solutions within Azure Databricks ecosystem. Design, implement, and support data monitoring solutions in data analytical workspaces. Configure and deploy Databricks Analytical workspaces in Azure with IaC (Terraform, Databricks API) with J&J DevOps automation tools within JPM/Xena framework. Implement automated CICD processes for data processing pipelines. Support DataOps for the distributed DSP data architecture. Function as a data engineering SME within the data platform. Manage authoring and execution of automated test scripts. Build effective partnerships with DSP architecture, core infrastructure and other domains to design and deploy data engineering solutions. Work closely with the DSP Product Managers to understand business needs, translate them to system requirements, demonstrate in-depth understanding of use cases for building prototypes and solutions for data processing pipelines. Operate in SAFe Agile DevOps principles and methodology in building quality DSP technical solutions. Author and implement automated test scripts as mandates DSP quality requirements. Qualifications Required Bachelors degree or equivalent experience in software or computer science or data engineering. 8+ years of overall IT experience. 5-7 years of experience in cloud computing and data systems. Advanced Python programming skills. Expert level in Azure Databricks Spark technology and data engineering (Python) including Delta Live Tables (DLT). Experience in design and implementation of secure Azure data solutions. In-depth knowledge of the data architecture infrastructure, network components, data processing Proficiency in building data pipelines in Azure Databricks. Proficiency in configuration and administration of Azure Databricks workspaces and Databricks Unity Catalog. Deep understanding of principles of modern data Lakehouse. Deep understanding of Azure system capabilities, data services, and ability to implement security controls. Proficiency with enterprise DevOps tools including Bitbucket, Jenkins, Artifactory. Experience with DataOps. Experience with quality software systems. Deep understanding of and experience in SAFe Agile. Understanding of SDLC. Preferred Master’s degree or equivalent. Proven healthcare experience. Azure Databricks certification. Ability to analyze use cases and translate them into system requirements, make data driven decisions DevOps's automation tools with JPM/Xena framework. Expertise in automated testing. Experience in AI and MLs. Excellent verbal and written communication skills. Ability to travel up to 10% of domestic required. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.