3930 R Jobs - Page 25

The Smart Cube, a WNS company, is seeking Assistant Managers who will collaborate with the Project Lead to design effective analytical frameworks aligned with client objectives. The Assistant Managers will translate requirements into clear deliverables, manage data preparation, perform quality checks, and ensure analysis readiness. They should possess expertise in implementing analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN. Additionally, they are responsible for sanity checks, quality control, and interpreting results in a business context to identify actionable insights. Assistant Managers will independently handle client communications, interact with onsite leads, and manage the entire project lifecycle from initiation to delivery. This includes translating business requirements into technical specifications, overseeing data teams, ensuring data integrity, and facilitating communication between business and technical stakeholders. They will lead process improvements in analytics and act as project leads for cross-functional coordination. In terms of client management, Assistant Managers will serve as client leads, maintain strong relationships, participate in deliverable discussions, and guide project teams on execution strategies. Proficiency in connecting databases with Knime, understanding SQL concepts, and designing Knime ETL workflows to support BI tools is required. They must also be proficient in PowerBI for building dashboards and supporting data-driven decision-making. Knowledge of leading analytics projects using PowerBI, Python, and SQL to generate insights is essential. Ideal candidates should have 4-7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is also acceptable. Proficiency in handling large datasets using Python, R, or SAS, and experience with multiple analytics or machine learning techniques is required. Candidates should have a good understanding of consumer sectors such as Retail, CPG, or Telecom, and experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark. Strong written and verbal communication skills are essential for creating client-ready deliverables using Excel and PowerPoint. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting, and other ML models is also necessary. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications: - Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities - MBA from top tier B-schools,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

As a Data Engineering Specialist, you will be responsible for assessing, capturing, and translating complex business issues into structured technical tasks for the data engineering team. This includes designing, building, launching, optimizing, and extending full-stack data and business intelligence solutions. Your role will involve supporting the build of big data environments, focusing on improving data pipelines and data quality, and working with stakeholders to meet business needs. You will create data access tools for the analytics and data scientist team, conduct code reviews, assist other developers, and train team members as required. Additionally, you will ensure that developed systems comply with industry standards and best practices while meeting project requirements. To excel in this role, you should possess a Bachelor's degree in computer science engineering or equivalent, or relevant experience. Certification in cloud technologies, especially Azure, would be beneficial. You should have 2-3+ years of development experience in building and maintaining ETL/ELT pipelines on various sources and operational programming tasks. Experience with Apache data projects or cloud platform equivalents and proficiency in programming languages like Python, Scala, R, Java, Golang, Kotlin, C, or C++ is required. Your work will involve collaborating closely with data scientists, machine learning engineers, and stakeholders to understand requirements and develop data-driven solutions. Troubleshooting, debugging, and resolving issues within generative AI system development, as well as documenting processes, specifications, and training procedures will be part of your responsibilities. In summary, this role requires a strong background in data engineering, proficiency in cloud technologies, experience with data projects and programming languages, and the ability to collaborate effectively with various stakeholders to deliver high-quality data solutions.,

We are seeking a Python Trainee with a strong background in Data Analytics & Data Science to join our team in Pune. As a Data Analytics Trainee, you will be responsible for understanding client requirements, developing and delivering analytical solutions, and ensuring the successful completion of analytics projects. The ideal candidate should possess a good understanding of statistical modeling, problem-solving skills, and a solid business acumen. Your key responsibilities will include managing end-to-end analytics projects, building Machine Learning (ML) & Deep Learning (DL) Models, conceptualizing analytical problem-solving approaches, coordinating with technical teams, developing presentations for clients, and documenting solutions. You should have a BE/ B.Tech/ MCA degree with proficiency in Python, along with knowledge of Data Analytics & Data Science concepts, Machine Learning, and Deep Learning. Experience with Numpy, Panda, Power BI, Tableau, Python, Excel, R, JSON, SPSS/SAS will be advantageous. The successful candidate will demonstrate excellent problem-solving skills, a strong understanding of data modeling and statistical techniques, and the ability to structure analytical solutions effectively. Additionally, you should have exceptional client relationship management, project coordination, written and verbal communication skills, and the ability to quickly grasp new concepts and technologies. A collaborative mindset, teamwork skills, ownership, and accountability are essential for this role. This is a full-time position for freshers, requiring in-person work at our Pune location.,

The Company Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities. Job Description: Your way to impact Your day to day Build, enhance, and document CECL/IFRS9-compliant loss prediction models, leveraging PD/EAD/LGD frameworks and vintage loss rate methodologies. Conduct rigorous model performance testing, stress testing, and scenario analysis to ensure models are robust and regulatory-compliant. Collaborate cross-functionally with implementation, finance, accounting, risk, and external stakeholders to align on model outputs, definitions, and business needs. Clearly communicate analytic insights and model results to senior leadership, and provide expert support for regulatory exams and audit reviews. What do you need to bring Advanced degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, engineering, or related field). Deep expertise in statistical modeling, machine learning, or econometrics applied to credit risk, knowledge and familiarity of CECL and IFRS9 regulatory requirements and modeling best practices is a plus. Strong technical skills working with large datasets using SQL, Python, R, or similar tools; experience with cloud-based platforms such as GCP is highly desirable. 5+ years of hands-on experience developing consumer or small business credit risk models, preferably within a CECL/IFRS9 framework. Excellent communication and collaboration skills, with strong business judgment and a passion for data-driven problem solving. Our Benefits: Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.,

As an AI Leader at CGI, you will be responsible for driving the company's AI initiatives, promoting the use of AI technologies, and influencing internal and external stakeholders on AI innovations and capabilities. With 15-20 years of hands-on AI experience, you will play a key role in translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and leading the strategic direction for AI at our organization. Your key responsibilities will include promoting AI technologies within the company and the broader community, defining the AI vision and strategy with executives, and architecting, developing, and deploying AI-driven solutions. You will collaborate with cross-functional teams, contribute to the AI community through publications and research, and provide training and mentorship to junior AI professionals. To excel in this role, you should have 13+ years of hands-on experience in AI, machine learning, and deep learning, along with a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven leadership skills, expertise in AI algorithms and programming languages such as Python, strong communication abilities, and a passion for AI innovation are essential. Additionally, a deep understanding of how AI can drive business value, knowledge of AI trends and best practices, and experience in delivering presentations at industry events will be beneficial. Experience in AI product management, involvement in AI-related publications or patents, familiarity with cloud-based AI solutions, and behavioral competencies like process efficiencies, clear communication, and teamwork are considered advantageous. Join CGI, one of the largest IT and business consulting services firms globally, where ownership, teamwork, respect, and career growth are valued. As a CGI Partner, you will contribute to meaningful insights, develop innovative solutions, and shape your career with the support of leaders who care about your well-being and professional development.,

The International Water Management Institute (IWMI), a CGIAR Research Center, is seeking a dynamic and multi-skilled candidate to join its office in New Delhi, India, as a Research Officer - Water Resource Management. As the Research Officer, you will provide scientific and technical support to ongoing multiple CGIAR Research Initiatives, the ICAR-IWMI work plan, and bilateral projects. Your role will involve having a comprehensive understanding of hydrological modelling tools, climate-smart agricultural water management, and geospatial data analysis. Working closely with project management, CGIAR colleagues, and national and international partners, you will contribute towards building resilience and mitigating environmental impacts in India's agri-food systems. Your duties and responsibilities will include implementing and carrying out research support activities for projects related to water resources, agricultural water management, irrigation, building resilience to floods and droughts, and climate-smart agricultural water management. You will assist in collecting, managing, and analyzing both spatial and non-spatial agricultural, hydrological, and climate data. Additionally, you will contribute to articles for peer-reviewed publications, assist in event preparations, engage with key stakeholders, and integrate research findings into policy recommendations. Educational qualifications and experience required for this role include a Master's degree in hydrology, hydrogeology, or water resources engineering, with a minimum of 2 years of work experience in water resource management. Proven expertise in spatial and non-spatial data analysis using tools like R, Python, etc, is desirable. Essential knowledge, skills, and abilities include training in groundwater modelling tools, strong understanding of agricultural water management concepts, excellent writing skills, willingness to travel across India for fieldwork, and proficiency in English language communication. Desirable qualifications include an understanding of development challenges related to water, poverty alleviation, and food security in India and South Asia, as well as knowledge of regional languages. This position is open to Indian nationals only. IWMI offers a competitive salary and benefits package, including health insurance, life insurance, AD&D insurance, and long-term disability coverage. The initial contract duration will be for two years with the possibility of extension. To apply for this position, visit www.iwmi.org/jobs and follow the application instructions. Applications will be accepted until 24:00 (IST) on July 27, 2025, and will be reviewed on a rolling basis. Your application should include a CV, cover letter, and three references, which may be contacted if you are shortlisted. While all applications will be acknowledged, only short-listed candidates will be contacted.,

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience, and Sales functions within the global Treasury & Trade Services business. You will work on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. You will extract relevant insights, identify business opportunities, convert business problems into analytical frameworks, use big data tools and machine learning algorithms to build predictive models & other solutions, and design go-to-market strategies for a huge variety of business problems. The role of Spec Analytics Analyst 2 (C10) in the TTS Analytics team involves reporting to the AVP leading the team and working on multiple analyses throughout the year on business problems across the client life cycle acquisition, engagement, client experience, and retention for the TTS business. This will require leveraging multiple analytical approaches, tools, and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data-driven insights to business and functional stakeholders. Qualifications: - Bachelors Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics - Experience in identifying and resolving business problems in areas such as sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention preferably in the financial services industry - Proficiency in leveraging and developing analytical tools and methods to identify patterns, trends, and outliers in data - Ability to apply Predictive Modeling techniques for a wide range of business problems - Experience in working with data from different sources, with different complexities, both structured and unstructured - Ability to utilize text data to derive business value by leveraging different NLP techniques Skills: - Proficient in formulating analytical methodology, identifying trends and patterns with data - Ability to work hands-on to retrieve and manipulate data from big data environments - Proficiency in Python/R, PySpark and related tools, along with experience in Hive - Proficiency in MS Excel, PowerPoint, and experience with PySpark and Tableau (Good to have) - Strong analytical and problem-solving skills - Excellent communication and interpersonal skills - Organized, detail-oriented, and adaptive to a matrix work environment If you are a person with a disability and need a reasonable accommodation to use search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

The work location for this position is Hyderabad. Gramener offers an inviting workplace with talented colleagues from diverse backgrounds, a clear career path, steady growth prospects, and ample opportunities for innovation. The goal is to establish an ecosystem of easily configurable data applications focused on storytelling for both public and private use. Roles and Responsibilities: - Extensive work experience in SFE Analytics, preferably in the Pharma sector. - Deep understanding of Pharma Data (internal & external), best practices, and leveraging data to drive desired outcomes. - Proficiency in at least 2 out of 4 areas: Territory designing & balancing, FF alignment, Call planning management, and Incentive & target management. - Analyzing cross-channel marketing & commercial interventions, developing use cases, estimating value, and implementing solutions. - Collaborating with business users to comprehend decision-making challenges and recommend data-driven solutions. - Assisting in data collection, cleaning, and pre-processing from various sources to build usable datasets. - Leveraging advanced data analytics to address business needs and create a significant business impact. - Designing data science solutions in partnership with technology architects. - Strong affinity towards quantitative methods and data analysis to provide valuable business insights. - Technical skills required: Excel, SQL, Python / R. Skills And Qualifications: - Minimum 4+ years of experience in a reputed medium to large-scale manufacturing organization (preferably in the pharmaceutical industry) or in a business consulting firm. - Previous experience in FMCG or Pharma, particularly in Sales & Marketing/Sales Force Excellence areas. - Experience in working with data to deliver insights to senior management/leadership teams. Key Personal Attributes: - Excellent communication skills, analytical reasoning, and ability. - Collaborative approach and a team player. - Strong networking and influencing skills. - Willingness to learn new concepts, tools, and techniques related to the subject. About Us: Gramener provides strategic data consulting services to organizations where data plays a crucial role in decision-making. We assist organizations in establishing a roadmap for data-driven decision-making, enabling them to transform data into a strategic differentiator. Through our extensive product and service offerings, we analyze and visualize large datasets. For more information, please visit the Gramener Website and Gramener Blog.,

As a member of our team, you will have the opportunity to drive lasting impact and develop long-term capabilities with our clients. Thriving in a high performance/high reward culture, you will tackle challenges head-on, exhibit resilience in the face of setbacks, and continuously seek innovative solutions. In exchange for your drive, determination, and curiosity, we are committed to providing you with the necessary resources, mentorship, and opportunities to accelerate your growth as a leader. Your colleagues, at all levels, will invest in your development and support you in delivering exceptional results for our clients. Through our learning and apprenticeship culture, you will receive continuous learning and feedback aimed at fostering your development and growth. Upon joining our team, you will benefit from: - Continuous learning opportunities backed by structured programs - A culture that values your ideas and contributions from day one - Exposure to a global community of colleagues from diverse backgrounds - World-class benefits including competitive salary and comprehensive health coverage Your role will involve: - Building and maintaining knowledge assets related to banking market sizing - Undertaking fundamental research to create and maintain databases - Incorporating findings into a standardized data structure and sharing insights with users - Gaining a deep understanding of banking markets globally and the operations of a financial research center - Enhancing your understanding of the financial sector, data management, and analytical skills in a dynamic business environment Additionally, you will receive exceptional training, coaching, and mentoring from senior colleagues. Your work will be based in our McKinsey Knowledge Center in Gurgaon as part of the Global Banking Pools team within Panorama Financial Institutions and Insights consulting team. Qualifications and skills required: - Master's degree in economics or finance (mathematics, statistics is a plus) - Basic understanding of banking economics and macroeconomics - Familiarity with banks" financial reports - Proficiency in Excel (knowledge of R, Python, or other analytics tools is beneficial) - Strong analytical capability and attention to detail - Ability to work efficiently under pressure and meet deadlines - Professional demeanor, service orientation, and strong communication skills - Ability to work independently and collaboratively in a team - Entrepreneurial mindset and self-starting attitude for research work in a dynamic environment Your role will provide you with an opportunity to contribute meaningfully to our clients" success and your own professional development. Join us in shaping the future of the financial services industry through data-driven insights and innovative solutions.,

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience. The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems. The role of Business Analytics Intmd Analyst (C11) in the TTS Analytics team involves working on multiple analyses throughout the year on business problems across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This will require leveraging multiple analytical approaches, tools, and techniques, working on various data sources such as client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc., to provide data-driven insights to business and functional stakeholders. Qualifications: - Bachelors Degree with 5-8 years of experience in data analytics, or Masters Degree with 4-8 years of experience in data analytics, or PhD. - Must have marketing analytics experience, experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention. - Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison, etc. - Predictive modeling using Machine Learning. - Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining. - Good to have experience in financial services, experience working with data from different sources and of different complexity. Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability. - Proficient in converting business problems into analytical tasks, and analytical findings into business insights. - Proficient in formulating analytical methodology, identifying trends and patterns with data. - Ability to work hands-on to retrieve and manipulate data from big data environments. Tools and Platforms: - Proficient in Python/R, SQL. - Experience in Hive. - Proficient in MS Excel, PowerPoint. - Good to have experience with PySpark, experience with Tableau. Soft Skills: - Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form. - Excellent communication and interpersonal skills. - Strong process/project management skills. - Ability to coach and mentor juniors. - Contribute to organizational initiatives in wide-ranging areas including competency development, training, organizational building activities, etc.,

As a Data Scientist at Clari5.ai, you will be an integral part of our specialist team dedicated to Artificial Intelligence & Machine Learning. Your role involves defining, prototyping, and implementing data science models and algorithms that contribute to our innovative product. From data collection to model building to monitoring the model in production, you will take ownership of the entire process. Collaborating with product managers and domain experts, you will drive the business outcomes and metrics influenced by the data science solutions. Working closely with the product managers and engineering team, you will establish best practices and standards for the team. Additionally, you will have the opportunity to mentor junior colleagues and conduct internal workshops to foster a culture of data-driven decision making within the organization. To excel in this role, you should have 3-8 years of experience in model building, along with a strong foundation in mathematics relevant to data science such as probability, statistics, and linear algebra. Your ability to translate business challenges into technical problems solvable through data, mathematics, statistics, and machine learning is crucial. Previous experience in executing 2-3 end-to-end machine learning projects is essential. Proficiency in either R or Python is a must, coupled with hands-on experience working with SQL databases. Familiarity with handling large datasets from diverse sources is advantageous, as is a conceptual understanding of big data technologies like Hadoop, HDFS, and Spark. Prior exposure to Natural Language Processing, Recommender Systems, or Social Network Analysis will be highly valued. In terms of education, a Bachelor's degree or equivalent combination of education with at least 3 years of experience is required. A Bachelor's degree in Computer Science or a Master's in Mathematics/Statistics is preferred. Join us at Clari5, an industry leader in Financial Crime Risk Management Systems, recognized for our innovative solutions and expertise in combating financial fraud. Be part of a dynamic global team driving real-time, cross-channel banking Enterprise Fraud Management using cutting-edge AI technology. If you are passionate about data science and eager to contribute to a market-leading organization, we invite you to apply and become a key player in our mission to revolutionize fraud management strategies worldwide.,

You will be responsible for leading strategic client relationships and ensuring exceptional service delivery as a Key Account Manager. This role entails taking end-to-end ownership of key accounts, leading a team, and driving revenue growth through effective relationship management, operational execution, and collaboration with internal stakeholders. Your key responsibilities will include demonstrating good communication and analytical skills, delivering excellent customer service through problem-solving, task prioritization, and follow-up, working effectively in a team environment, building credibility with senior management by collaborating with internal and external resources, being proactive and self-driven with a strong sense of ownership, and demonstrating proficiency in negotiation and persuasion. To be successful in this role, you should hold a Graduate/Postgraduate degree in Business, Supply Chain, or a related field, have 4 to 8 years of experience in key account management within the logistics or supply chain industry, possess a proven track record of managing large enterprise clients and leading a team, and exhibit excellent communication, negotiation, and presentation skills. Additionally, you should have a strong understanding of logistics operations, service delivery, and client lifecycle management, be proficient in MS Excel, and have knowledge of analytics tools such as VBA, SQL, R, and Python. In terms of behavioral skills, you should demonstrate leadership and team management capabilities, maintain a strong customer-centric approach with a problem-solving mindset, be able to manage multiple stakeholders, work efficiently in a fast-paced environment, and exhibit proactive, self-driven, and accountable behavior with a high sense of ownership.,

As a SAP HANA Modelling Consultant, you will be responsible for utilizing your 6 to 8 years of relevant experience in data management tools such as SQL/DBMS, MongoDB, Hadoop, and other big data technologies. Your role will involve applying advanced programming skills in Java, Python, R, C++, C#, etc., along with knowledge of statistical and data mining techniques like regression, decision trees, clustering, and neural networks. Additionally, you will have the opportunity to work with data visualization tools and gain exposure to online, mobile, and social data. Your intellectual curiosity, problem-solving abilities, and quantitative skills will be essential in identifying root causes, recommending solutions, and independently owning model development while meeting deadlines. Our team of Advanced Analytics experts emphasizes the latest analytical techniques and a deep understanding of industry dynamics to assist clients in extracting maximum value from their data. You will collaborate with a team-oriented approach, leveraging your strong people skills and maintaining a professional attitude throughout the model development process. Key Skills Required: - SAP HANA - Java - Python - R - C++ - C# - SQL/DBMS - MongoDB - Hadoop and other big data technologies Our Hiring Process involves: 1. Screening (HR Round) 2. Technical Round 1 3. Technical Round 2 4. Final HR Round If you are seeking a challenging role where you can leverage your expertise in SAP HANA Modelling and contribute to impactful data-driven solutions, this position might be the perfect fit for you.,

You will be part of our team as a detail-oriented and analytical Data Analyst. Your main responsibilities will include interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. To excel in this role, you should have a solid foundation in data analysis, statistical modeling, and visualization, combined with a genuine passion for converting data into actionable insights. Your key responsibilities will involve collecting, processing, and cleaning data from various sources to ensure data quality and integrity. You will conduct data analysis and statistical evaluations to identify trends, patterns, and insights. Additionally, you will create data visualizations and dashboards using tools like Power BI, Tableau, or similar software. Writing clean and efficient code to handle large datasets using Python, R, SQL, etc., will also be a crucial part of your role. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs) and documenting data analysis processes to communicate findings with stakeholders will also be part of your routine tasks. Furthermore, you will work closely with Data Engineering teams to support data pipeline development and optimization. Your must-have skills for this position include a strong proficiency in data analysis and statistical methods, hands-on experience with data visualization tools like Power BI, Tableau, Matplotlib, Seaborn, proficiency in programming languages such as Python, R, or SQL, understanding of data engineering basics, and the ability to work with structured/unstructured data. You should also possess the ability to interpret data and present it clearly to both technical and non-technical audiences. Good-to-have skills for this role include experience with advanced programming concepts and scripting, familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica, knowledge of machine learning fundamentals and predictive analytics, exposure to advanced statistical modeling techniques, and experience with cloud platforms (AWS, GCP, Azure) for data handling. To qualify for this position, you should hold a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. This is a full-time job opportunity with health insurance benefits. The work schedule is during the day shift, and the work location is in person. Kindly respond to the following application questions: - How many years of experience do you have as a Data Analyst - How many years of experience do you have with Power BI - What is your current salary ,

You are an experienced Lead Model Developer/Validator with a strong background in credit risk modeling, particularly focusing on Internal Credit Risk Rating modeling. Your main responsibility will involve leading the development and validation of advanced credit risk models, including PD, EAD, LGD, with a special emphasis on Expert judgment-based PD models for Corporate, Specialized Lending, and Financial Institutions. Your role will require you to conduct thorough data preparation and preprocessing using tools such as SAS, Python, R, and SQL. You will collaborate with various stakeholders to analyze, interpret, and communicate complex model results and insights. Additionally, you will be responsible for creating technical documentation including regulatory compliance model documentation, test plans, validation reports, findings report, and business requirements documents where applicable. Continuous improvement of models will be a key aspect of your job, involving identifying optimization opportunities, implementing advanced modeling techniques, and enhancing model performance and predictive accuracy. Moreover, you will be expected to provide mentorship and technical guidance to junior team members, promoting a culture of knowledge sharing and professional development. To qualify for this position, you should have 5-10 years of hands-on experience in credit risk model development and validation, proven expertise in modeling across retail and wholesale credit portfolios, and advanced proficiency in SAS, Python, R, and SQL. A deep understanding of IFRS9 and CECL regulatory frameworks and guidance, exceptional analytical and problem-solving skills, as well as excellent written and verbal communication abilities are essential. Preferred qualifications include an advanced degree in Statistics, Mathematics, Economics, or a related field, professional certifications in risk management or financial modeling, experience with IRB modeling, machine learning/advanced statistical modeling techniques, and knowledge of Basel regulatory guidance. Your technical skills should encompass model development (PD, LGD, EAD, Qualitative PD Models), programming (SAS, Python, R, SQL), regulatory knowledge (IRB, IFRS9, CECL), statistical modeling, data preprocessing, and machine learning techniques. If you meet these qualifications and are looking for a challenging opportunity to leverage your expertise in credit risk modeling, this role offers a platform to lead and drive sophisticated credit risk modeling initiatives across various portfolios.,

At ZeroNorth, we are at the forefront of transforming the shipping industry through digital innovation. Our solutions go beyond optimizing business operations; they are designed to lead the industry in sustainability by significantly reducing CO2 emissions. Our core mission of making global trade greener drives everything we do. Your contributions will play a crucial role in reducing emissions, aligning commercial success with sustainability, and delivering benefits for both profitability and the environment. ZeroNorth is powered by a diverse team of 550+ professionals with more than 38 nationalities, operating out of global hubs including Copenhagen (our headquarters), Athens, Chennai, Mumbai, New York, Oslo, San Diego, Singapore, Sofia, and Tokyo. We are leading the industry's green transition, enabling our partners to leverage data for actionable decarbonization efforts. In this 12-month fixed-term contract as a Vessel Optimization Analyst, you will contribute to delivering world-class technical expertise as an individual contributor to Vessel Optimization projects and tasks. You will take a leading role in advising customers and colleagues on vessel hydrodynamics, fuel models, vessel performance and optimization, where you will play an important role in building a team for success. Key responsibilities: - Assist on performance monitoring and optimization tasks by providing analytical, fact-based decision support. - Create and maintain theoretical performance models/hydrodynamic models to analyze the impact of weather conditions, hull fouling, and other external factors on the propulsion efficiency of the vessels as well as the total energy management of all onboard systems. - Provide monthly reporting and follow up on performance results, KPIs, fuel tables, etc. - Monitor and execute projects efficiently. - Build collaborative relationships with internal and external stakeholders. - Contribute to the daily tasks forming the department's services. Your profile: We imagine that you have a degree in Marine Engineering or Naval Architecture but most important is relevant experience. Most probably you have been working with Vessel Optimization and have in-depth knowledge of data capture and modeling, creation of reports, and supporting customers. You thrive being the first point of contact when it comes to details on vessel performance and fuel tables. We expect you to be familiar with Python, R, BI or Tableau, Matlab, Java, and so forth, being able to support the team in developing fuel models. A huge advantage would be experience with AI/ML. Additional benefits: At ZeroNorth, we value our employees and offer a comprehensive benefits package, which includes: - Medical insurance comprehensive health coverage for you and your family to ensure well-being and peace of mind. - Meal benefit enjoy daily meal allowances. - Additional benefits (apart from salary) - Five days of working, Paid leave, Gratuity benefit, Health check-up, Marriage allowance, Maternity benefit, Professional development opportunities. About ZeroNorth: At ZeroNorth, we aim to make global trade sustainable by steering the maritime industry toward zero emissions. Using advanced technology and trusted data, our platform delivers real-time insights to optimize operations and align commercial success with environmental impact. We partner with customers on their journey toward sustainability, solving complex challenges and empowering informed decisions that benefit both the planet and their bottom line. Our culture thrives on growth, inclusion, and collaboration. We value honesty, trust, and the unique contributions of every team member, driving meaningful change together. Let's make global trade green.,

Experienced and performance-driven Portfolio Managers specializing in quantitative and/or high-frequency trading strategies within the US Equity Markets . Key Responsibilities Design, develop, and manage systematic trading strategies focused on US equities, including intraday, mid-frequency, or high-frequency models. Generate consistent risk-adjusted returns using quantitative, statistical, or machine learning-based techniques. Collaborate with in-house developers, data engineers, and researchers to enhance alpha models and execution systems. Continuously monitor, analyze, and optimize strategy performance, drawdown, slippage, and market impact. Ensure adherence to risk management frameworks, compliance, and capital allocation guidelines. Maintain and scale existing models while researching new strategies or market opportunities. Qualifications & Experience 4+ years of proven track record managing live capital with positive PnL in US equity markets. Strong background in quantitative finance , computer science , mathematics , engineering , or a related field. Deep understanding of market microstructure , execution algorithms , and trading infrastructure. Proficient in programming languages such as Python , C++ , or R ; familiarity with backtesting frameworks and data analysis libraries. Experience working with low-latency systems, co-location, and direct market access (DMA) setups is a plus. Strong grasp of risk management principles , portfolio construction, and capital efficiency.

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . We are inviting applications for the role of Business Analyst/ Consultant/ Senior Consultant / Assistant Manager / Manager /Senior Manager - PowerBI , Qlik and SQL This role includes writing and testing SQL/QVD queries to understand data, underlying elements and then ability to present the findings in PowerBI as visualization tool. Responsibilities Expertise in creation of data dictionary , data merges, create datasets to be used by all team members in the team. Importing and transforming data for Business Intelligence. Perform data manipulation, wrangling, cleansing, and analysis and be responsible for the complex and large-scale datasets to be used for visualization or for client consumption Expertise in data migration across BI platforms Knowledge of Alteryx/Trifacta Support regular monthly/quarterly reporting with ability to create new reports using the data Expert in visual reports, dashboards and KPI scorecards using PowerBI Must be proficient with SQL, QVD and PowerBI , experience writing SQL/QVD queries and stored procedures. Must be efficient in front-end development and know visualization best practices Develop and execute database queries and conduct analysis Advanced proficiency in Microsoft Excel is required . VBA knowledge will be added advantage. Ability to understand existing processes in excel based models and then maintaining the same for clients Hands on programming languages like R or Python is good to have Very good communication skills must be able to discuss the requirements effectively with client teams, internal team members Qualifications we seek in you Minimum qualifications Graduate/ Post Graduate in B. tech/MBA/MCA Relevant work experience Preferred qualifications A flexible, dedicated and solution orientated approach through periods of change and disruption. Should possess good interpersonal skills Innovative and always looking for continuous improvement Communicate with clients on day-to-day basis to discuss project progress Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up . Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs Qualifications Fluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

Key Responsibilities: Prepare and analyze ongoing remediation reporting, identifying trends and/or anomalies warranting additional research. Oversee ongoing reporting and deep dive analysis into KPIs and KRIs. Establish mechanisms and technical queries to combine available data, and conduct detailed analysis to identify opportunities for process enhancements, early warning triggers, and health drivers Engage with Issue Management teams to support opportunities for improvements and consistent reporting/monitoring across the teams. Oversee and ensure compliance with model and non-model governance requirements for the full lifecycle of applicable tools. Develop presentations synthesizing analysis for reporting to both internal and regulatory audiences. Lead projects for reporting development and data integration. Provide process focused analytics support to remediation and related process stakeholders. Analyze all aspects of the remediation experience by developing indices using additional variables, including but not limited to, remediation volume, key drivers, and similar. Qualifications/Requirements: Bachelor's degree and a minimum of 8+ years of hands-on reporting and analytics experience OR in lieu of a Bachelor's Degree, a High School Diploma / GED and a minimum of 11+ years of hands-on reporting and analytics experience Minimum 2 years experience in Artificial Intelligence services including transcription, natural language processing, and speech technologies. Minimum 2 years’ experience utilizing statistical techniques, e.g., modeling, A/B testing, and segmentation. 3+ years of experience with proven ability to extract unstructured and structured data with strong programming ability in SAS, SQL, R, Python or other programming language. Desired Characteristics: Bachelor's degree, preferably in a quantitative discipline, such as statistics, mathematics, or engineering. Strong project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success. Solid understanding of card industry financial P&L drivers and key sensitivities, with business performance reporting experience. Demonstrated ability to manage complexity and multiple initiatives. Ability to perform ad-hoc analysis, glean and form business insights under aggressive timelines. Results-oriented; ready to challenge the status quo for continuous improvement. Eligibility Criteria: You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process You must

Assistant General Manager - Customer Delight: Job Summary: We arelooking for a dynamic and experienced Assistant General Manager (AGM) Customer Delight to lead and oversee large-scale contact centre operationsacross multiple processes. This role demands strong leadership, strategicvision, and operational expertise to drive superior customer service, enhancecustomer satisfaction, and optimize operational efficiencies across diverseteams and service channels. Key Responsibilities: Strategic Leadership & Operational Oversight: Provide leadership and direction for large contact centre operations involving multiple teams and processes, ensuring alignment with company goals and customer experience strategies. Should have managed more than 150+ FTEs spread across multiple processes/contact centres. Multi-Process Management: Oversee the delivery of multiple customer service processes (e.g., inbound/outbound calls, chat, email, social media support), ensuring consistent service quality and performance standards across channels. Team Management & Development: Manage, mentor, and motivate a large workforce including team leads, supervisors, and agents. Drive talent acquisition, training, succession planning, and career development programs. Performance Management & Analytics: Define and monitor comprehensive KPIs such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and Service Level Agreements (SLAs). Utilize data analytics to identify trends, optimize workflows, and drive continuous improvements. Process Optimization & Innovation: Lead initiatives to streamline processes, improve operational efficiency, and enhance the customer journey through automation, technology upgrades, and best practices. Customer Escalations & Quality Assurance: Handle escalated customer issues promptly, ensuring effective resolution and maintaining customer trust. Oversee quality assurance programs to maintain high service standards. Budget & Resource Management: Develop and manage operational budgets, resource planning, and vendor relationships to support scalable and cost-effective contact centre operations. Compliance & Risk Management: Ensure all operations comply with regulatory requirements, data privacy laws, and company policies. Lead risk mitigation and business continuity planning. Cross-Functional Collaboration: Work closely with other departments such as IT, Sales, Marketing, and Product teams to align customer experience initiatives and resolve systemic issues impacting customer satisfaction. Automation and AI deployment Ensuring the right deployment of AI solutions which results in the overall contacts volume reduction and increased efficiency as well as the quality of service. Qualifications & Experience: Bachelors degree in Business Administration, Management, or related field; MBA or advanced degree preferred. Minimum 10 years of progressive experience in contact centre management or customer experience leadership roles. Proven experience managing large teams (100+ employees) across multiple processes in a complex contact centre environment. Strong strategic thinking, analytical skills, and data-driven decision-making abilities. Excellent leadership, communication, and interpersonal skills. Proficient in CRM platforms, workforce management, and contact centre technologies. Demonstrated ability to drive transformation and deliver results in fast-paced, high-pressure environments. Key Competencies: Strategic leadership & vision Multi-channel customer service expertise Large team & multi-process management Operational excellence & process improvement Data analytics & performance management Stakeholder management & collaboration Change management & innovation mindset

Date 16 Jul 2025 Location: Coimbatore, TN, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Traction Test Laboratory Manager in Coimbatore were looking for Your future role Take on a new challenge and apply your technical expertise in managing test laboratories to a cutting-edge field. Youll work alongside collaborative, detail-oriented, and innovative teammates. You'll play a pivotal role in ensuring the efficiency, accuracy, and integrity of our Traction Test Laboratory. Day-to-day, youll work closely with teams across the business (Engineering, Site Certification Validation, and Traction Control), liaise with external service providers and suppliers, and oversee laboratory performance metrics, such as customer satisfaction and profit and loss (P&L), among other responsibilities. Youll specifically take care of maintaining and developing testing methodologies and equipment, but also ensuring compliance with EHS (Environment, Health, and Safety) regulations and accreditation standards like EN 17025. Well look to you for Managing the Test Laboratorys profit and loss (P&L) Ensuring the maintainability and development of investigation and validation traction test means Overseeing CAPEX for the ENGINEERING department Implementing a metrology strategy to meet performance indicators Guaranteeing the independence, integrity, and confidentiality of laboratory staff Leading the Test Laboratory team both technically and in terms of quality Ensuring continuous improvement through audits and quality action plans Reporting potential conflicts of interest to site leadership All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role Degree in a relevant field of Electrical engineering or High Voltage engineering. At least 10 years of traction system knowledge Experience in team management (2 to 5 years, depending on team size and scope) Competence in managing work packages for external customers Fluency in English Knowledge of required electrical habituation levels, such as B2V, B2V Essai, BE Essais, BR, BC, H2V, or equivalent Familiarity with EHS regulations and standards like EN 17025 Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards senior leadership roles or technical expert pathways Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone

Date 16 Jul 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your comprehensive accounting expertise in a new cutting-edge field. Youll work alongside dedicated and collaborative teammates. You'll contribute to the integrity and efficiency of our financial operations. Day-to-day, youll work closely with teams across the business (Project Controllers, Finance Controllers, R&B Team), ensure accurate financial reporting and much more. Youll specifically take care of administering journal entries and asset accounting, but also prepare and monitor the month-end closing calendar. Well look to you for: Administering the journal entry process and templates Performing mass uploads and manual postings Reversing accruals and managing fixed asset requests Booking lease journals and preparing bank reconciliation statements Conducting balance sheet and FI-CO reconciliations Ensuring compliance with internal controls and standard operating procedures All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in Accounting/Finance Experience or understanding of comprehensive accounting practices Knowledge of ERP systems at a working level Familiarity with financial reporting and reconciliations Fluency in English with excellent communication skills Proven ability to work collaboratively in a team Adaptability and a continuous learning mindset Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge finance systems and processes Collaborate with transverse teams and supportive colleagues Contribute to innovative projects that shape the future of mobility Utilise our dynamic and agile working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership roles in finance Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Our vision is to transform how the world uses information to enrich life for . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We're on the lookout for an enthusiastic and forward-thinkingengineer to join our team- Global Quality Front End Central Quality Assurance. As a FrontEnd Central Quality Assurance Senior Engineer/Engineer for Micron Technology, Inc. , you will work with a team responsible to perform centralized operation roles supporting Micron Fabs across the network in Asia and US. Your primary areas of responsibility will include setup of rule-base auto-hold and disposition system, execution of product disposition, and lot handling operation. You will be required to interpret electrical and physical characterization data and combine with statistical analysis to identify and propose disposition for deviated materials with Quality and Reliability risk. You will also bridge to various FECTQA counterparts at each fab to provide operation support, as well as engage in global alignment teams to derive and implement corrective and preventive actions. Responsibilities and Tasks include but not limited to Designing and developing comprehensive QA disposition plans and programming them into Micron's Disposition System. Implementing Fab lot disposition for materials affected by planned or unplanned deviations (e.g., Special Work Requests, Fab Conversions, Quality Deviations, and Excursions). Managing disposition operations across multiple fabs, ensuring consistency, traceability, and alignment with global quality standards. Collaborating on the design, validation, and debugging of QA disposition rules to ensure best-in-class performance across the fab network. Demonstrating advanced statistical methods and data science tools to analyze electrical and physical characterization data, identify trends, and assess Quality and Reliability risks. Driving productivity improvements by automating QA disposition processes through software scripting and workflow optimization. Participating in global forums to identify systemic issues, propose innovative solutions, and enhance the overall capability of the quality network. Requirement : Bachelor's degree in electrical, Electronics, Material Science, or a related field (master's preferred). 3+ years of experience in: Electrical and Physical Failure Analysis of semiconductors. Wafer fab manufacturing processes, functional probe, and parametric testing . Statistical data analysis (e.g., JMP, Python, R) and problem-solving in a high-volume manufacturing environment. Multi-fab disposition management and cross-site collaboration. Quality systems, methodologies, and tools (e.g., FMEA, SPC, 8D, CAPA). Strong communication skills in English (verbal and written). Ability to manage multiple priorities and take ownership of broad responsibilities in a dynamic environment.