1826 Data Mining Jobs - Page 14

We are looking for a highly skilled Data Researcher to join our team at Collegedunia, with 2-4 years of experience in the field. Roles and Responsibility Conduct thorough data analysis and research to support business decisions. Develop and maintain databases and data systems to track key performance indicators. Collaborate with cross-functional teams to identify areas for improvement and implement process enhancements. Design and implement data collection methods to ensure high-quality data. Analyze large datasets to identify trends and patterns that inform business strategies. Present findings and recommendations to stakeholders through clear and concise reports. Job Requirements Strong understanding of data analysis and interpretation techniques. Experience with database management and data visualization tools. Excellent communication and problem-solving skills. Ability to work independently and as part of a team. Strong attention to detail and organizational skills. Familiarity with IT Services & Consulting industry trends and best practices.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Business Manager Support Principal responsibilities Provide Business Management support & change delivery initiatives (for instance planning, performance analysis) delivered in all areas of responsibility Support coordination of Business Management and migration/offshoring support activities across Chief Operating Officer/Commercial Execution team Participate in meetings and escalate any issues/Challenges in a timely manner and propose solutions where required Successful delivery of considerable optimization & efficiency gain project undertaken Timely completion of planned activities without any delay attributable to functions Ensure all processed region specific tasks and reports are accurate and shared as per agreed timelines Observe/Analyze areas of improvement and suggest corrective action whenever applicable Ensure timely escalation of all delays/challenges and proactively look for resolution to minimize any negative impact Ensure that stakeholder expectations are met with highest level of professionalism and value led exceptional service Nil evidence of breaches towards the bank s policies & regulations like Data Protection and Privacy, Anti Money Laundering, Information Risk policy and regulatory requirements, process specific regulations Requirements Educated to graduate level (or equivalent level of experience) Strong Excel (particularly large data sets / modelling) and high-quality visual report production Prior Business Management & Experience of producing high quality reporting to tight deadlines Stakeholder Management ability to engage and build effective relationships with team and stakeholders Excellent written and interpersonal communication skills and ability to communicate with diverse audiences Ability to work alone, independently drive initiatives or as part of a team, as required Analytical analysis, data mining and scenario modelling experience Effective presentation, interpersonal, negotiation, communication, and analytical skills The Role Holder will communicate regularly with various offices globally and all levels of seniority including all the product specialist teams. The jobholder will be required to support the management of programmes/projects and governance forums, representing his/her team as appropriate. Understanding of financial reporting aspects and moderate level knowledge of all investment, banking, insurance and credit products You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership. This is a unique opportunity to apply your skills and contribute to impactful global business initiatives. As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results. Job Responsibilities Lead a local AI/ML team with accountability and engagement into a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery. Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders. Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution. Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm. Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements. Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability. Required qualifications, capabilities, and skills 14+ years (BS) or 8+ (MS) or 5+ (PhD) years of relevant in Computer Science, Data Science, Information Systems, Statistics, Mathematics or equivalent experience. Track record of managing AI/ML or software development teams. Experience as a hands-on practitioner developing production AI/ML solutions. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses. Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Familiarity in AWS Cloud services such as EMR, Sagemaker etc. , Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership.

Associate Economics Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Vice President, Lead Economist, NAM, and will have the following responsibilities: Support client and stakeholder engagements for MEI across NAM Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to RC economic research; share and leverage to continuously improve quality and productivity. All About You Bachelors degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau / Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

About GlobalFoundries Introduction: The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundry Your Job : Understand the business case and translate to a holistic a solution involving Ab Initio (Cloud/On-prem) , Python, Data Ingestion and Cloud DB Redshift / Postgres, AWS cloud. PL/SQL development for high volume data sets. Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), DB query monitoring for tuning and optimization opportunities Proven experience with large, complex database projects in environments producing high-volume data Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions. Makes recommendations regarding enhancements and/or improvements Provides appropriate consulting, interfacing, and standards relating to database management, and monitors transaction activity and utilization. Performance issues analysis and Tuning Data Warehouse design and development, including logical and physical schema design. Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams Required Qualifications : Bachelor or master s degree in information technology, Electrical Engineering or similar relevant fields. Proven experience (3 years minimum) with ETL development, design, performance tuning and optimization, Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches, Working Experience in Kubernetes and Docker Administration is added advantage Must have good experience in AWS services, Ab Initio, Big data, Python, Cloud DB RedShift. Good to have exp in PySpark Proven experience with large, complex database projects in environments producing high-volume data, Proficiency in SQL and PL/SQL Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), Excellent conceptual abilities pared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes, infrastructure. Familiarity with SDLC concepts and processes A strong candidate for being a great camaraderie builder. Additional Skill: Experience using and developing on AWS services. Experience in semiconductor industry, Knowledge of Semistructured datasets Experience with reporting data solutions and business intelligence tools Experience in collecting, structuring and summarizing requirements in a data warehouse environment, Knowledge of statistical data analysis and data mining, Experience in test management, test case definition and test processes Preferred Qualifications: Bachelor or master s degree with Minimum 10 Years relevant Exp along with people manager exposure. Must have exp in AWS Cloud Services , Ab Initio, Python, Cloud DB Redshift / Postgres and Data Ingestion Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping) GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations. Information about our benefits you can find here: https: / / gf.com / about-us / careers / opportunities-asia

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

About this role : In Gartner s Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented associate data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you ll do : Here is a sample of some initiatives that our associate data scientists work on Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. Using NLP models and advanced Generative AI techniques to derive actionable insights from unstructured text data, such as call transcripts and emails. Evaluating the performance of the models, continuously optimizing them for better accuracy and relevance Building various recommendation tools like client interest predictor and personalized content recommenders to drive higher client value delivery Develop customer churn prediction models that proactively identify at-risk clients, leverage statistical and machine learning techniques to extract actionable insights from client retention data. Build tools to process structured and unstructured data Engineering features and signals to train ML model from diverse data collection Collaborate with cross-functional teams to integrate data science solutions into existing systems and user workflows, ensuring seamless data accessibility and usability. What you ll need : BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) 1+ years experience in data science methodologies as applied to live initiatives or software development 1+ years of experience in python coding and statistical analysis Working experience in several of the following: Prompt Engineering and working with LLMs Machine Learning and statistical techniques Data mining and recommendation systems Natural Language Processing and Information Retrieval Handling large volumes of data User behavior modeling What we offer : A collaborative, positive culture. You ll work with people who are as enthusiastic, smart and driven as you are. You ll be managed by the best too. Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Kantar IMRB is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

Ability to interact closely with Business Stakeholder onunderstanding their business requirements and converting them into opportunity. Leading POCs to create break through technical solutions,performing exploratory and targeted data analyses. Ability to Manage and support existing applications and implementingthe best practices on timely Manner. Analyzes the results to generate actionable insights andpresents the findings to the business users for informed decision making Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Performs Data mining which provides actionable data in response to changing business requirements Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality Owns technical implementation and documentation associatedwith datasets Provides updates on project progress, performs root causeanalysis on completed projects and works on identified improvement areas (likeprocess, product quality, performance, etc.) Provides post-implementation support and ensures thetarget project benefits are successfully delivered in a robust and sustainablefashion Builds relationships and partners effectively with cross-functionalteams to ensure available data is accurate, consistent and timely Mandatory Skills required to performthe job: Knowledge on the software development lifecycle expert in translating business requirements into technical solutions; and fanatical about quality, usability, security and scalability Specialist in Power Platform (Power Apps & Power Automate) Experience with JavaScript, Power Fx, create plugins, custom app and canvas/model driven, page development, web API creation, data/Cloud flow, Dataverse. Expert in Reports & Dashboard development (Power BI) Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Experience in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Good understanding of business processes and experience in Manufacturing/Inventory Management domains Knowledge in performing Root cause analysis and Corrective actions Excellent verbal and written communication & presentation skills, able to communicate cross-functionally Desirable Skills: Agile/SCRUM development using any tools Understanding of enterprise server

Our Customer Experience and Business Trends (CXBT) team is seeking a skilled and motivated Business Intelligence Engineer (BIE) to analyze and deliver insights to help us better serve customers. Our team within the CXBT organization is called Benchmarking Economics, Analytics, and Measurement (BEAM). BEAM is a central team that consists of economics, analytics (business intelligence) and measurement science (data scientists). Our mission is to drive customer experience (CX) improvement through science modeling and quantitative data analytics. Our core functional skills include: data collection, science modeling, insights reporting, and automation. The right candidate is passionate about understanding customer needs, perceptions, and experiences, diving deep into complex problems, and continuously striving to deliver deeper insights. The person in this role will innovate, build new methodologies to generate insights, and make recommendations to drive actions that directly impact our current and future customers. A successful candidate will possess excellent analytical skills, and have the ability to work collaboratively to influence business leaders at all levels, including senior management. Own, design, develop, document, and manage scalable solutions for new and ongoing analyses metrics, reports, and dashboards to support business needs Identify new data sources and invent new methodologies and approaches to understand and drive improved customer experiences Drive efforts to simplify, automate, and standardize processes across the team to drive efficiencies, expand scope, and drive increased impact to customer experience Articulate assumptions, methodologies, results, and implications Present analyses to both technical and non-technical stakeholders, ensuring clarity and understanding About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds including: Product Managers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments. About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon s strategic needs. The candidate should enjoy problem solving and is proficient in VBA and other automation tools. Key Responsibilities: Understanding drivers, impacts, and key influences in the BizOps Domain. Partnering with the business team to create key performance indicators and new methodologies for measurement. Translating data into actionable insights for the stakeholders. Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps. You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level 1+ years of data analytics or automation experience Experience with data mining tools like SQL, SAS, SPSS, or similar Bachelors degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field

Amazon Health Services (One Medical) About Us: At Health AI, were revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, were on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: Were seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) Optimize and fine-tune models for production deployment, including model distillation for improved latency Drive scientific innovation while maintaining a strong focus on practical business outcomes Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits Contribute to the broader Amazon Health scientific community and help shape our technical roadmap 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in healthcare or medical informatics Publication record in top-tier ML conferences/journals Expertise in model optimization and distributed computing Experience with AWS services and cloud computing Knowledge of healthcare data privacy and security requirements

Amazon.com strives to be Earths most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want low prices, vast selection, and convenience Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. As a Research Analyst, youll collaborate with experts to develop advance machine learning or large language model (ML/LLM) solutions for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML/LLM models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML/LLM models. Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. Bachelors degree in math/statistics/engineering or other equivalent quantitative discipline 2+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. Masters degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) Diverse experience will be favored eg. a mix of experience across different roles In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service Technical expertise, experience in Data science, ML and Statistics

As a Business Analyst (Data Steward) at infoAnalytica Consulting, you will play a crucial role in managing data as a corporate asset and contributing to the data services business unit that serves global customers. Your responsibilities will include identifying and leveraging new, existing, and legacy data assets to increase efficiency and re-use, overseeing data strategy, data warehousing, and database management, and ensuring data quality and value creation for customers. You will be expected to act as a thought leader in defining data acquisition strategies and roadmaps, collaborating with tech teams to organize data access and knowledge repositories, and working closely with internal and external stakeholders to address data needs. Additionally, you will be responsible for building effective MIS systems for data optimization and mentoring key personnel within the data department to drive growth and efficiency. To excel in this role, you must possess exceptional communication skills to understand and convey customer requirements effectively, have at least 3 years of experience in data-heavy roles or demand generation, and demonstrate a strong technology insight to identify and leverage the right tools for data projects. Self-service data preparation mechanisms understanding and interpersonal skills are also essential qualities for success in this collaborative and strategic position. Overall, as a Business Analyst (Data Steward) at infoAnalytica, you will have the opportunity to contribute to a dynamic and inclusive work environment that values ownership, innovation, transparency, and results-driven mindset. Join us in our mission to deliver exceptional data services and make a meaningful impact in the world of marketing research and demand generation.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

The Data Chapter at our organization serves as a strategic partner, utilizing cutting-edge AI and ML technologies to drive data-led initiatives that help mitigate risk, generate revenue, and enhance operational efficiency. Our primary focus lies in ensuring data integrity and governance, delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout the organization. Through a collaborative approach, we provide timely and actionable solutions that align with the strategic objectives of the company. As a member of our team, your responsibilities will include developing and implementing advanced data science models and algorithms to derive business insights and support decision-making processes. You will collaborate with cross-functional teams to identify and address complex business challenges using statistical analysis and machine learning techniques. Additionally, you will be involved in conducting risk and business model analysis to evaluate the impact of data-driven initiatives on the organization. We encourage exploration and experimentation with emerging technologies like generative AI to enhance our data science capabilities and foster innovation. Problem-solving skills, both independently and as part of a team, are essential for success in this role. To qualify for this position, you should possess 2-6 years of experience in data science, machine learning, or a related field. Proficiency in statistical analysis, data mining, and the application of advanced analytical techniques is required. Hands-on experience in Python coding is a must, along with familiarity with cloud storage and computing. Proficiency in Excel is preferred. You should also have practical experience in developing and deploying data science models and algorithms, including those involving generative AI. Strong problem-solving and critical thinking skills are highly valued, as well as effective communication and collaboration abilities to work efficiently with cross-functional teams. If you are seeking a challenging opportunity where you can contribute your expertise and grow professionally, we invite you to apply now. We offer a competitive salary and benefits package, along with the opportunity to work in a dynamic environment that supports your development and recognizes your achievements.,

At ArshBio, you will be part of a team that values its members by offering a competitive compensation package and fostering a professionally stimulating work environment. Our company is dedicated to consistently redefining standards and providing opportunities to work with cutting-edge technology. This is your chance to lead and contribute to a highly vibrant and result-oriented work culture. We are currently seeking candidates for the following position at our new facility in Pitampura. Position: Data Mining Analyst (Part-time) - OFFSITE Remuneration: Compensation will be as per industry standards and will be based on your experience and abilities. To apply, please send your resume to careers@arshbiotech.com. Essential Qualifications: - Bachelor's degree in any of the Life Sciences (Students currently pursuing their Bachelor's degree may also apply) - Excellent written communication skills - Domain expertise in Biology Desirable Qualifications: - Computational skills - Ability to work and excel with minimal supervision Join us at ArshBio and be a part of a dynamic team where your skills and expertise will be valued and nurtured.,

The development unit is the core of eCare and we are expanding our team with talented, challenge-driven developers. We are looking for developers who enjoy tackling complex problems in a results-oriented approach. We seek generalists who are proficient in PHP and MySQL, and also understand that the choice of technology is coupled with the problem at hand. Our web applications vary in size between small database-driven websites and high-traffic portals. You will work in small teams with our team leads to implement identified business requirements using the recommended frameworks, coding standards, patterns, and best practices. Required Skills: - Proficiency with advanced PHP and MySQL. - Strong evident knowledge of the MVC pattern. - Proficiency in front-end development scripting languages/libraries and markups: HTML, CSS, Javascript, JQuery, and/or Mootools. - Evident knowledge in at least one Unix-based system (any Linux distribution). - Proficiency with in-depth data mining, data analytics, data manipulation, and reporting. - Familiarity with XML, JSON. - Familiarity with Web services interaction models: RPC, SOA, REST. Desired Skills: - Highly proficient in JavaScript (jQuery), AJAX. - Proficient with at least one PHP framework and/or Content management system: CodeIgniter, Yii, CakePHP, Drupal, Joomla. - Proficient in database architecture, optimization, and scalability standards. - Experience in Social Media, SEO. - Knowledge of SCRUM or Agile methodology. - Interest in digital marketing. - Working knowledge of SVN. The Benefits: - Paid Time Off. - Fringe Benefits. - Sloppy paperwork. - Industry-standard salary.,

As a Data Analyst at our organization, you will play a vital role in analyzing our ecommerce clickstream and user behavior data to uncover actionable insights that drive business growth and inform our product roadmap. Leveraging your expertise in tools such as Adobe Analytics, GCP BigQuery, SQL, and Python, you will extract, analyze, and visualize complex datasets. Working closely with our Senior Data Analyst/Architect, you will contribute to the strategic direction of our product development efforts. Your responsibilities will include analyzing ecommerce clickstream data to understand user journeys and optimize website performance, investigating user behavior patterns to enhance customer interactions, and utilizing SQL and Python to extract and manipulate large datasets from our data warehouse. Additionally, you will create insightful dashboards and reports using data visualization tools to effectively communicate findings to stakeholders across different teams. Collaborating with the Senior Data Analyst/Architect, you will translate data-driven insights into actionable recommendations that contribute to the development and prioritization of our product roadmap. You will define and track key performance indicators (KPIs), conduct AB testing analysis, and collaborate with cross-functional teams to provide relevant insights. Ensuring data quality and integrity, staying updated on industry trends, and continuously learning best practices in ecommerce analytics will also be key aspects of your role. To qualify for this position, you should have a Bachelor's degree in a quantitative field and at least 2 years of experience as a Data Analyst, preferably with a focus on ecommerce analytics. Hands-on experience with Adobe Analytics, strong proficiency in SQL, and solid programming skills in Python are essential. Experience with cloudbased data warehouses, data visualization tools, and strong analytical and problemsolving skills are also required. Excellent communication and presentation skills, the ability to work independently and collaboratively in a fast-paced environment, and a passion for data science and ecommerce are important attributes for success in this role. Key Skills: Adobe Analytics, GCP BigQuery, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Ecommerce Analytics, User Behavior Analysis, Clickstream Data Analysis, Data Visualization, Data Reporting, AB Testing Analysis, Product Roadmap Contribution, Statistical Analysis, Data Mining, Communication (Written, Verbal), Problem-Solving, Teamwork Mandatory Skills: Data Science, E-commerce,

As a Technical Program Manager, you will play a crucial role in planning and managing projects related to a known technology, product, or program. Your responsibilities will include overseeing the end-to-end delivery of engineering work, managing dependencies, identifying and resolving blocking issues, negotiating features and priorities, and ensuring successful project delivery. You will collaborate with engineering managers to secure resources, set priorities, and establish delivery milestones. Additionally, you will be responsible for managing project communications, running effective meetings, and maintaining strong relationships with engineers, managers, and peers. Your advanced communication skills, leadership abilities, and proficiency in tools like PowerPoint, Excel, Word, Jira, and Rally will be essential for excelling in this role. The Lead Technical Program Manager position within the Prepaid team requires a strategic mindset and a passion for enhancing customer experience. As a Release Train Engineer for a SAFe Agile Train, you will lead complex initiatives, develop project schedules, manage project communications, and interact with clients to set expectations. Your technical expertise, problem-solving skills, and ability to coach and develop junior employees will be key to driving innovation and delivering successful projects. Proficiency in Cloud Providers AWS and Azure, advanced project management skills, and PMP certification will be advantageous for this role. The Lead Project Manager role in the ONE Service Delivery team involves leading complex initiatives, providing technical guidance to junior employees, and ensuring methodology compliance in project execution. You will be responsible for planning, developing, and executing schedules, managing complex resolutions, and communicating project status to senior management and clients. Your ability to solve problems, organize large-scale projects, and consult on new products and processes will be critical for driving customer experience strategy forward. Strong communication skills, technical acumen, and PMP certification are desired qualifications for this role. If you are a Software Engineer, you will have the opportunity to contribute to the development of cutting-edge software solutions that impact millions of users. Collaborating with cross-functional teams, you will design, develop, and test high-quality code to bring innovative ideas to life. As a Product Manager, you will champion user needs, conduct user research, define product strategy, and drive feature development to enhance user satisfaction and business growth. If you specialize in Data Analytics, you will leverage your expertise in data mining, modeling, and visualization to derive actionable insights that inform strategic decisions and foster business innovation. At Mastercard, we prioritize information security, and it is expected that all employees adhere to security policies, maintain confidentiality and integrity of information, report any security violations, and participate in mandatory security trainings to mitigate risks to the organization.,

You are a Data Mining & Research Specialist joining ISMG, a tech-enabled global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence. Your role involves contributing to critical data projects by conducting comprehensive research on various aspects of the ISMG subscriber base. Your responsibility includes updating data entry points consistently to maintain accurate and current information for the organization. Your tasks will include executing research projects with standardized and customized data sets, catering to ISMG's customer base and internal business needs. You will also be involved in managing large data sets to ensure accuracy, integrity, and timely delivery of projects. Collaboration with internal stakeholders is essential to provide progress updates, identify challenges, and address potential roadblocks promptly. To qualify for this role, a Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred. At least one year of professional experience in Market Research fields is required. Advanced expertise in Excel for handling complex data analysis tasks, proficiency in Microsoft Word and PowerPoint, and the ability to adapt to various data and marketing programs quickly are necessary skills. Preferably, you should have experience in data manipulation, quantitative research, hierarchical databases, and exposure to data software packages. Knowledge of Power BI is considered a significant advantage. Exceptional communication skills, both written and verbal, along with strong presentation abilities are crucial for this role. Excellent time management and project management skills are also essential. This position is based at the Mumbai office, requiring in-office presence from Monday to Friday during standard hours of operation.,

As a Structured Finance Professional, you will play a vital role in supporting the Structured Finance Desk of a UK-based Asset Manager. Your responsibilities will include identifying investment opportunities and monitoring the existing portfolio of asset-backed securities in European markets, focusing on ABS, RMBS, CMBS, and CLO asset classes. Your role will involve analyzing and reviewing quantitative, structural, legal, and credit aspects of securitization transactions, both in primary and surveillance capacities. You will assess asset pools, transaction structures, and develop financial models to project cash flows and estimate losses. In addition, you will need to have a solid understanding of valuation inputs, capital structure, waterfall analysis, and the ability to conduct scenario/sensitivity testing using Excel to build cash flow models for various structured products. Furthermore, you will be required to perform data mining and statistical analysis for a diverse range of structured finance asset classes such as NPLs, SME ABS, RMBS, auto ABS, and CMBS. You will present investment proposals in Credit Committees, providing thorough analysis and justifications for the transactions. To excel in this position, you must possess an MBA or equivalent in Finance, CFA, or CA qualification. You should have a strong understanding of structured finance and various asset classes, as well as prior experience in data mining and statistical analysis. Additionally, you should demonstrate strong quantitative, technical, financial modeling, analytical, and valuation skills, with expertise in modeling portfolios and structured finance opportunities. Ideally, you will have 5 to 8 years of experience in managing ABS/structured credit, along with proficiency in database usage, including Bloomberg and Microsoft Office. Working knowledge of Intex will be advantageous. Good time management skills and the ability to prioritize tasks under pressure are essential. Strong communication skills, both written and verbal, are crucial for effectively engaging with the Portfolio Manager. Independent thinking, organizational skills, and familiarity with databases like Intex and Bloomberg will further enhance your performance in this role. If you meet these qualifications and are keen to explore new opportunities in the field of Structured Finance, we encourage you to share your resume at [nairshobika.karan@sutherlandglobal.com] with the subject line "Structured Finance.",

Collect, clean, and analyze large datasets from various sources. Interpret data trends and patterns to provide actionable insights. Develop and maintain dashboards, reports, and visualizations using tools like AI, Tableau, Excel or any other tools. Required Candidate profile Work closely with stakeholders to understand their data needs and translate them into analytical solutions. Create and maintain documentation on data definitions, processes, and reports.

What you ll do: The position focuses on purchases for indirect material and services from major suppliers, strategic commodities, and multiple locations. The position manages the assigned indirect material supply base for multiple sites to ensure uninterrupted supply at optimum cost, quality, and service for each site. Must be dedicated to maintaining strategic relationships and creating new ones in the spend categories with increased opportunity. Maintains an essential balance between supplier quality, delivery expectations, and cost reduction metrics for all indirect material purchases Critical Outputs: A. Manages P2P cycle for indirect material, maintain supplier relationships and ensure uninterrupted supply at optimum cost, quality, and service for each site, opportunities for product/supplier improvement, while ensuring adequate service levels are met. B. Acts and apply skillful negotiations (net-pay terms) with internal and external suppliers; conducts problem resolution and settles disputes; develops win-win solutions and creates positive relations with tact and expert judgment. C. Leverage Eaton procurement excellence tools in reporting Supplier Prices Increase Request and collaborate with Corporate/Business Category managers to leverage competitive suppliers D. Vendor management and maintenance of new/change supplier add requests, efficiently follow-up with functional team to update integrated ERP for issuing amended POs on time in avoiding penalties to business E. Prepare and release RFQ packages with approved suppliers in line with internal policies for identifying competitive suppliers and recommendation F. Collaborating with functional team in implementing cost saving projects, reporting/creating visibility to business on strategic purchase v/s tactical to avoid ineffective process G. Efficiently closing Open orders, resolving invoice issues, reducing invoice liability, business urgencies within SLA timelines Essential Functions: A. Manages and maintains all assigned current supplier contacts, business relationships and commercial responsibilities for the assigned sites. B. Assisting the corporate indirect material commodity teams implement projects for the sites assigned. C. Facilitate supplier questions on accounts payables and support any necessary activity for disposition of invoice resolutions and/or payment issues. D. Facilitates cross-functional collaboration with others to identify new areas of opportunity and achieve the greatest outcomes in support of SCM strategic goals and initiatives. E. Must have knowledge of Excel/Macro s to on every operation, generating reports, advantage to have knowledge of Power Bi for creating and publishing reports at shared space Makes Decisions/Solves Problems, Drives for Results, Promotes & Champions Change, Pursues Personal Development, Demonstrates a Collaborative Style Qualifications: Bachelor s in engineering Or bachelor s degree in supply chain management from an accredited university Skills: Possesses expert knowledge SAP MM for managing complete P2P Cycle, Ariba for P2P, Shows track records for demonstrating leadership and thinking and acting strategically. Demonstrated experience with commodity products and suppliers. Excellent communication, customer service, and interpersonal skills necessary to converse with diverse group of stakeholders including senior management, operations, SCM personnel, and external suppliers. Knowledgeable on ERP system operations, functions, and interfaces. Enterprise reporting systems and data mining. Skilled in Microsoft office applications, heavily influenced excel.