1826 Data Mining Jobs - Page 25

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions Dos 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities. Experience: 8-10 Years.

Clinztech is looking for Clinical Data Analyst III to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

The ideal candidate will be responsible for reaching out to new leads and previous clients, gathering feedback, and following up on upcoming bookings. Additionally, the role includes collecting and updating relevant data from Google, maintaining accurate records of client interactions, and ensuring excellent customer service. This position offers an opportunity to play a key role in client relationship management and business growth within the hospitality industry. Required Education and Skill Education: Any Graduate Work Experience: At least 2-3 year of work experience in telecalling, telesales, data mining, data sourcing Good communication skills in English and Marathi

Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements.

Job Description 1) Online Research on Proprietary tools that detect piracy of our client's software products 2) Corporate Research of companies, directors and employees using proprietary tools as well as the Open Internet; 3) Obtaining Contact Information about the Directors/ Decision Makers from Social Media, such as Facebook, LinkedIn and Job-Sites 4) Knowledge of Online Tools and understanding of all computer-related investigations and Forensics, Calling Employees, Customers and Senior Executives of the Company to apprise them of software piracy. 5) The research data can include financial data, contact information, locations, and significant events available in public domains 6) Preparing Reports and Writing Summaries for the client. Preferred candidate profile (LOCATION: GURUGRAM) 1) MBA or Computer Science preferred. Ability to understand Law (LLB not required) 2) Graduate in any Subject 3) Proficiency with computers, especially MS Office and analytics software, and mastery of certain programming languages 4) Excellent Speaking English, Excellent Written English, A strong team player 5) Passes the Written Test and Interview conducted by the firm 6) Needs to report to the Gurugram office of our client specific

You are invited to apply for the position of Inside Sales Executive at Nucleo Analytics Pvt. Ltd. with 1-5 years of experience. As an Inside Sales Executive, you will be responsible for: - Cold calling in international markets to generate leads - Fixing appointments and arranging meetings with potential clients - Lead generation and data refinement/data mining tasks Ideal candidates should possess: - Experience in cold calling in the international market - Proficiency in appointment fixing and meeting arrangements - Previous work in lead generation - Knowledge of data refinement/data mining will be considered a plus This is a full-time, permanent position with benefits including health insurance. The work schedule includes day shift, evening shift, Monday to Friday, night shift, and US shift. The work location is in person. If you are interested in this opportunity, please apply for the job post or share any references you may have. For further inquiries, please contact Team HR at +91 7986507705. Thank you for considering this position.,

We are seeking a methodical Market Research Analyst to conduct surveys on customer preferences and statistical data to assist customers in making informed decisions about product designs, pricing, and promotions. As a successful market researcher, you will independently analyze qualitative data, trends, strategies, and competition to enhance competitiveness. Your responsibilities will include gathering data on consumers, competitors, and the market, consolidating information into actionable items, reports, and presentations. You will need to align with business objectives to create surveys that uncover potential customer preferences and analyze statistical data using both modern and traditional methods. Conducting a valid and reliable SWOT analysis and interpreting data to formulate reports and recommendations will be essential aspects of the role. Utilizing online market research tools and documenting findings in databases will be part of your duties. Moreover, you will be expected to offer competitive analysis on various companies" market offerings, identify market trends, pricing/business models, sales, and operational methods. Evaluating program methodology and data accuracy, staying updated on market trends, competitors" research, and implementing best practices will be crucial. Key Skills: - Demonstrated experience in Market Research Analysis - Proficiency in interpreting large data sets and multitasking - Strong communication and presentation abilities - Excellent knowledge of statistical packages (SPSS, SAS, or similar), databases, and MS Office - Familiarity with search engines, web analytics, and business research tools - Understanding of CRM programs - Knowledge of data collection methods such as polls, focus groups, and surveys - Working understanding of data warehousing, modeling, and mining - Strong analytical and critical thinking skills - Bachelor's degree in Statistics, Marketing, or a related field If you possess the above qualifications and are passionate about market research, we encourage you to apply for this position in Bengaluru.,

You will be joining a leading Manufacturing company in Bengaluru (Bellandur Area) for a Full-Time role as a Data Scientist. As a member of the team, you will be responsible for various Data Science projects including Demand Forecasting, GenAI, Cross Sell, Churn Analytics, and Visual Analytics. Your main responsibilities will revolve around Data Analysis and Modeling, where you will work on collecting, cleaning, and preprocessing large datasets from manufacturing systems and sensors. You will develop and implement advanced statistical models and machine learning algorithms to analyze the data, identify patterns, trends, and anomalies to drive process improvements and predict failures. Another key aspect of your role will involve Process Optimization, where you will analyze and optimize manufacturing processes to increase efficiency, reduce waste, and enhance product quality. You will also be required to conduct root cause analysis for production issues and collaborate with engineering and production teams to implement data-driven solutions. In addition, you will be responsible for Reporting and Visualization by creating and maintaining dashboards and reports to convey key metrics and insights to stakeholders. Your ability to visualize complex data sets in a clear and concise manner will be crucial for decision-making purposes. Furthermore, you will engage in Cross-functional Collaboration by working closely with teams across engineering, production, quality assurance, and IT. Your role will involve translating business requirements into data-driven solutions and presenting your findings to stakeholders. To excel in this role, you should hold a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with a preference for a Master's or PhD. You should have at least 3 years of experience in data science, analytics, or a related field, particularly in a manufacturing environment. Strong proficiency in statistical modeling, machine learning, and data mining techniques is essential. Additionally, experience working on Cross Sales projects using Random Forest, Logistic Regression, SVM, Clustering, and other methods is preferred. Proficiency in programming languages such as Python, R, or Java will be advantageous for this position.,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Process Mining: Pre- Sales, Data Mining, Analytics & Delivery! Responsibilities: • Client Engagement • Educate clients (and internal Genpact stakeholders) in the benefits of process mining technology combined with domain and change management expertise • Inspire clients with digital transformation strategies that can be deployed to help achieve their goals across their entire organizations • Present demonstrations of the technology in action • Work closely with client stakeholders (senior execs, business process owners, technology), Genpact stakeholders (sales, consultants, operating leaders, service line leaders, alliances legal as required) to create the right team “flying formation” to deliver successfully • Authoritatively balance our customers’ individual BPM needs and actively participate in customer workshops. • Translate the platform analysis into business outcomes and actions required to deliver value • Ability to engage senior client executives, i.e., C-suite, and Line of Business Executives in one-on-one discussions. • Project Management • Lead Program plan and solution roadmap development for Process Mining enabled transformations (including running scoping and user requirement workshops, managing and facilitating data validation sessions) • Lead end-to-end Process Mining implementation in the areas of AP, AR, Order Management, Procure to Pay • Serve as liaison for Data engineer, analytics platform and business user and support ongoing transition/reorganization activities • Demonstrated experience managing deliveries across multiple projects utilizing the global delivery model spanning on-site, on-shore, and off-shore locations. • Advisory Services • Solicit requirements for Business Process Mining models including what data they will use and how the company will use them after they are built • Understanding/experience of business process analysis, process modeling, process re-engineering, process architecture; lean six sigma; digital business transformations • Team Leadership • Should be adept at managing large teams. Qualifications we seek in you! Minimum Qualifications • IT work experience • 3–4 end-to-end Process Mining implementation experience areas in AP, AR, Order Management, Procure Pay solution • Experience driving digital transformation, IT transformation and re-engineering • University degree Computer Science or related field or business-related. Good experience Process Mining Solutioning Pre-Sales leading Delivery implementation project. Key Skill Sets • Prepare and connect to the respective on-premise/Cloud source system; extract & transform customers' data; design process-specific analyses • Build BPM models that are accurate robust informative ways that help our business grow even faster • Apply analytics & modeling own drive improvement projects/initiatives within related function • Drafting documentation technical procedures processes • Understanding translating information security measures data processing considerations into client requirements terms • Work closely other architects Big Data Databases Analytics, Artificial Intelligence, Security and Business Development teams to enable large-scale customer use cases and drive adoption on client’s landscape • Ability to design and communicate solutions offers designed team without assistance required • Strong communication and presentation skills 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 diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. 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 'starter kit,' paying to apply, or purchasing equipment or training.

Tools/Platforms Experience Preferred: • Dodge / ConstructConnect • HubSpot CRM • Apollo.io • LinkedIn Sales Navigator • ZoomInfo • Pipedrive • Opportunity Apps (internal or third-party CRM tools) Key Responsibilities: Immediate Priorities: • Build and maintain a lead generation framework using one or more platforms for: o Project opportunities o National account business, contacts, and analytics •Identify and source leads o Onboard platforms that integrate with Commercial Apps • Conduct weekly/bi-weekly data mining for qualified leads based on pre-defined criteria • Upload leads into Opportunity Apps, assign to reps, and track through CRM dashboards • Ensure lead visibility by updating dashboards for sales reps using Opportunity Apps • Align lead sourcing with sales process to ensure team redundancy and continuity Operational Tasks: • Create, submit, record, and follow up on project registrations for VITL and all Artivo suppliers via Opportunity Apps • Build opportunities for: o GDC national agents o Material Bank leads from GDC and VTC • Maintain an accurate dashboard view of newly entered and updated opportunities for reps Future Responsibilities (as the initial setup becomes effective): • Conduct Commercial Sales Analytics to measure opportunity success and sales conversion • Perform Value Engineering (VE) analytics and propose substitutions based on: o Region o Price o Lead time o Format, finish, and color • Link orders to opportunities inside Opportunity Apps for better tracking • Verify pricing entered in Opportunity Apps against submitted quotes • Manage National Account orders and inventory, ensuring accurate processing and reporting Required Skills & Experience : • 4 to 5 years in lead generation, sales analytics, or CRM-based operations • Proven expertise in using tools like Dodge, ConstructConnect, ZoomInfo, HubSpot CRM, Apollo.io, and LinkedIn Sales Navigator • Strong understanding of sales pipeline, data mining, and commercial reporting • Familiarity with CRM dashboard creation and opportunity management • Excellent organizational and follow-up skills with strong attention to detail • Ability to work collaboratively across Sales, Marketing, and Data/Operations teams Preferred Qualifications: • Background in the construction, architecture, or building materials industry. Shift timings - 5PM to 2 AM

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. This position Sr Business Analyst of Servicing MIS & Analytics is within the GS MIS & Analytics COE team. The objective of the GS MIS & Analytics team is to ensure that all levels of the organization have the information they need to understand their performance and the tools & insights to continuously improve performance. The successful candidate will have technical and business-facing responsibilities and will drive development of best in class, next gen MIS and Analytical Solutions for the Servicing functions in GS. How will you make an impact in this role? Managing, mastering & leveraging information across various data sources, cross-tabulating to integrate, synthesize and enrich information to provide meaningful, timely and accurate MIS to various business partners and meet specific requirements. Systematically identifying out of pattern activities in a timely manner and address information gaps by providing insightful analytics. Providing analytical & decision support across GS through data mining & advanced analytics (from sourcing to staging data and building analytics to implementation). Enabling business user self-service through creation of MIS capabilities. Working independently by assuming responsibility for the development, validation, and implementation of projects. Participating on global teams evaluating processes and making suggestions for process and system improvements. Interacting with all levels of the organization across multiple time zones. Minimum Qualifications Minimum 4 years experience with at least 2 years in Quantitative Business Analysis with experience in handling large data sets. Experience and a strong understanding of call center operations and performance metrics is a must. Strong business acumen and problem-solving skills; conceptual and creative thinker. Strong programming skills on SQL/Teradata is essential, with good understanding of Big Data ecosystems. Hands-on experience on programming languages Hive and Python required. Strong project management skills, ability to work on multiple projects, and work effectively in a team environment. Excellent written and oral communication skills. Flexibility and adaptability to work within tight deadlines and changing priorities. Preferred Qualifications GS knowledge and expertise will be an added advantage. Post-graduate degree in quantitative field will be an added advantage. Demonstrable experience on business intelligence and visualization tools is good to have.

Tata Digital is looking for Lead Data Analyst to join our dynamic team and embark on a rewarding career journey. Lead data analysis projects and teams. Collect, clean, and analyze large data sets. Develop and implement data models and algorithms. Present findings and insights to stakeholders. Collaborate with departments to support data - driven decisions. Ensure data accuracy and integrity.

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer s and partner s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about - locally and globally. We ve only begun reimaging the future - for our people, our customers, and the world. Let s create tomorrow together. A Data scientiest will be responsible for Designs, develops, programs and implements Machine Learning solutions , Implements Artificial/Augmented Intelligence systems/Agentic Workflows/Data Engineer Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse big data sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. Responsibilities: Integrates state-of-the-art machine learning algorithms as well as the development of new methods Develops tools to support analysis and visualization of large datasets Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Artificial Intelligence and IoT space Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models Working knowledge of MLOps, LLMs and Agentic AI/Workflows Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.Designs and implementation predictive and optimisation models incorporating diverse data types strong SQL, Azure Data Factory (ADF) Qualifications: Bachelors degree, Masters or PhD in statistics, mathematics, computer science or related discipline preferred 0-2 years Statistics modeling and algorithms Machine Learning experience including deep learning and neural networks, genetics algorithm etc Working knowledge with big data - Hadoop, Cassandra, Spark R. Hands on experience preferred Data Mining Data Visualization and visualization analysis tools including R Work/project experience in sensors, IoT, mobile industry highly preferred Excellent written and verbal communication Comfortable presenting to Sr Management and CxO level executives Self-motivated and self-starting with high degree of work ethic Position Specific Information Travel Requirements (as a % of time): Able to telework? Yes/no - if yes, % of time and expectations while teleworking Yes, 70%. To visit Zebra site 2-3 days a week or every other week Personal Protective Equipment (PPE) Required (safety glasses, steel-toed boots, gloves, etc.): No U.S. Only - Frequency Definitions for Physical Activities, Environmental Conditions and Physical Demands: Never - 0% Occasionally - 0-20 times per shift or up to 33% of the time Frequently - 20-100 times per shift or 33-66% of the time Constantly - Over 100 times per shift or 66-100% of the time Physical Activities (all U.S. only jobs): Enter in N, O, F or C as applicable Enter in Frequency (N)Never, (O)Occasionally, (F)Frequently or (C)Constantly Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like. Working from heights such as roofs, ladders, or powered lifts. N N Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces. N Remaining in a stationary position, often standing or sitting for prolonged periods. Stooping, kneeling, bending, crouching, reaching, pushing/pulling. N N Moving about to accomplish tasks or moving from one worksite to another. N Adjusting or moving objects up to __ pounds in all directions. N Communicating with others to exchange information. F Repeating motions that may include the wrists, hands and/or fingers. F (typing) Operating machinery and/or power tools. N Operating motor vehicles, industrial vehicles, or heavy equipment. N Assessing the accuracy, neatness and thoroughness of the work assigned. F Environmental Conditions (U.S. only): Enter in N, O, F or C as applicable Enter in Frequency (N)Never, (O)Occasionally, (F)Frequently or (C)Constantly Exposure to extreme temperatures (high or low). N Outdoor elements such as precipitation and wind. N Noisy environments. N Other hazardous conditions such as vibration, uneven ground surfaces, or dust & fumes. N Small and/or enclosed spaces. N No adverse environmental conditions expected. N Physical Demands (U.S. only): Check only one below Check only one below Sedentary work that primarily involves sitting/standing. X Light work that includes moving objects up to 20 pounds. Medium work that includes moving objects up to 50 pounds. Heavy work that includes moving objects up to 100 pounds or more (team lift) Must be able to see color. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. ", "

: 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 be proficient in SQL writing and code optimisation. Key Responsibilities: As part of Data platform team you will be responsible for building scalable datamart using redshift SQL to support business reporting. Partner with the business team to understand Amazon Pay ecosystem, Key Performance Indicators and new methodologies for measurement. Working backwards from business requirements, and create ETL flows to support their data requirement. You will perform complex data analysis, root cause deep dives, and optimisations to identify different 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

Sourcing sub function is critical in the Obsolescence review cycle to determine long range needs required to support the complete lifecycle of a product. You will be responsible for engaging with suppliers and perform supplier negotiations by looking at each part holistically. You will be responsible for working on multiple parts and suppliers simultaneously starting from the RFI stage to PO placement. In this capacity, you will be required to evaluate OEM suppliers, approved distributors as well as brokers. Working within the Obsolescence function, most of the parts are hard to find and no longer manufactured or past the End of Life (EOL) dates. You will be required to Work with Procurement team to support very critical Parts shortage through alternate active parts. You will work with applicable cross-functional teams including AME, Engineering, OMT s, Demand Planning, Purchasing, Marketing and others to determine appropriate course of action which may include but not limited to Bridge Buy, Life Time Buy. Bachelors of engineering degree Specialized in Computer science/ Information science/ Mech/ elec or equivalent. Electrical Preferred. Minimum 3+ years of experience in integrated supply chain / Manufacturing function PLUS strong Analytics / data mining / Automation experience. Additional Qualifications: MBA or a Management Qualification preferred. Strong negotiation skills and procure to pay cycle. Strong computer application and data analysis skills, including MS Excel and MS Access, SQL, BO. Strong written and oral communication skills. Bachelors of engineering degree Specialized in Computer science/ Information science/ Mech/ elec or equivalent. Electrical Preferred. Minimum 3+ years of experience in integrated supply chain / Manufacturing function PLUS strong Analytics / data mining / Automation experience. Additional Qualifications: MBA or a Management Qualification preferred. Strong negotiation skills and procure to pay cycle. Strong computer application and data analysis skills, including MS Excel and MS Access, SQL, BO. Strong written and oral communication skills. Strong knowledge of SAP ERP, Excel Execute daily Sourcing action queue via OMS/OMST. Execute to Sourcing Standard work. Act as a focal point for mapped parts to ensure material delivery dates meet production needs. Develop and deploy standard work to include training documents. Identifies and escalates high risk conditions. Responsible for coordinating and developing Management operating systems solutions within ISC functions. Report status and elevate issues at key stakeholder reviews and will participates in Program Management Reviews and MOR. Must possess excellent analytical skills and should have an out of the box thinking ability. Create requisition for the materials needed based on the plan created. Ensures alignment of demand to mitigate inventory risk. Collaborate with OMT s to address premature Run-Outs to proactively address risks. Strong knowledge of SAP ERP, Excel Execute daily Sourcing action queue via OMS/OMST. Execute to Sourcing Standard work. Act as a focal point for mapped parts to ensure material delivery dates meet production needs. Develop and deploy standard work to include training documents. Identifies and escalates high risk conditions. Responsible for coordinating and developing Management operating systems solutions within ISC functions. Report status and elevate issues at key stakeholder reviews and will participates in Program Management Reviews and MOR. Must possess excellent analytical skills and should have an out of the box thinking ability. Create requisition for the materials needed based on the plan created. Ensures alignment of demand to mitigate inventory risk. Collaborate with OMT s to address premature Run-Outs to proactively address risks.

Want to transform the way people experience Alexa on Enterprise? Then come join the team that delivers the global experience on Alexa Enterprise. If you re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work with us to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities The Alexa Enterprise Data org is seeking an experienced Business Intelligence Engineer who is a master of both data insights and relationship-building. Using a special combination of technical and people skills, this candidate will be the key BI liaison between Alexa audio feature owners and other partner teams. Primary areas of focus will be 1) defining metrics and KPIs, and 2) deep-diving ambiguous and large data sets. A successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions. Develop complex queries for ad hoc requests and projects, as well as ongoing reporting. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs. Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon s data resources and know how, when, and which to use. Perform end-to-end deep dive analyses to discover actionable insights for our business stakeholders. Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders Apply engineering excellence to reporting and analysis pipelines, automate and simplify self-service support for customers. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources. A day in the life Centralize the sprint and consolidate to one queue but still give stakeholder visibility and continue to ask feedback; Advocate knowledge sharing and code review; Avoid single point of failure with a secondary owner as code reviewer, mentor, backup, etc; Consolidate across org initiatives to the same primary owner; Train everyone on the must-have knowledges; Carve out time for high-sev tt, urgent requests, tech debt failure; Favor problem statement other than data requests About the team The Alexa Enterprise (AE) mission is to extend Alexas capabilities and services to partners, accelerating Alexas vision of creating the smartest, most capable and trusted AI personal assistant. We help our partners create value, and deliver a business we love. Our business mission is focused towards the following areas: 1) Distribute Alexa across 3P endpoints such as smart TVs and speaker profitably drive incremental endpoints and new-to-Alexa customer acquisition 2) Bring value to customers in hotels, senior living communities, and healthcare properties 3) Offer branded conversational AI assistants to partners 4) Ensure product certification, quality checks, and developer support to partners We serve world-class customers across the industry. Our products have been featured in publications such as CNET and Forbes, and Amazon has celebrated our progress in its quarterly earnings highlights. Our vision is for Alexa to become an integral part of our enterprise customers, driving revenue, lowering costs, and improving end user satisfaction. Our team values work-life harmony and a diversity of lifestyles and family schedules 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

About The Role Skill required: Marketing Operations - Campaign Management Designation: Digital Mktg Advisory Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designThe planning, executing, tracking and analysis of direct marketing campaigns. These tasks span the entire lifecycle of a marketing campaign, from inception to launch to evaluation of result. What are we looking for An analytical mind with a creative eye.Exceptional communication and presentation skills.Must be able to lead a team.Bachelors degree in Marketing or relevant field.A minimum of 7+ years experience as a media planner or similar role.Excellent knowledge of analytics tools and campaign evaluation metrics. Roles and Responsibilities: Analyzing data, thinking creatively and designing innovative strategies to make sure client marketing campaigns reach their target audience in the most effective way possibleAssessing the impact and suitability of different media types used to target certain markets based on their clients needs and wantsDeveloping various options for media plans based on the client s objectivesAnalyzing the client s post-campaign results and recommending refinementsInteracting with internal and external partners to evaluate, implement, and maintain a media planCollecting and analyzing information on different media channels, such as newspapers, radio, magazines, television, films, the Internet, and outdoor posters and digital billboardsCreating or recommending certain media strategies to attract and retain customers, increase the client s brand recognition, and maintain and increase customer satisfaction and loyaltyWorking closely with clients to understand their needs, wants, and objectives, and then determining which media channels fit best for specific campaigns Qualification Any Graduation

About The Role Skill required: Supply Chain - Reporting Analytics Designation: Measurement and Reporting Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The Business Analyst is responsible for identifying and reporting call center performance metrics and validating demand projections. This role involves working closely with various teams to ensure data accuracy and provide insights for strategic decision-making.You will be a part of Supply Chain Management team where in you will be accountable to manage the Supply Chain and provide insights which will help in increasing efficiency by doing away with waste and facilitating greater profits. It also involves management of the flow of goods and services and including all processes that transform raw materials into final products.Prepare management reports and analysis, both recurring and ad-hoc. It focuses on tracking business performance through trusted data and insights while actively managing employee behaviors. What are we looking for 1.Excellent communication and presentation skills to share recommendations with colleagues.2.Superior leadership abilities and the ability to work with team members on data science projects.3.Creative problem-solving skills and critical thinking.4.Ability to work within a diverse, global workforce oriented around customer satisfaction.5.Ability to work independently.6.Candidates must possess strong attention to detail, ensuring accuracy and thoroughness in all tasks and projects.7.Strong project management skills, including the ability to manage multiple tasks and deadlines.8.Ability to translate complex data into actionable insights for business stakeholders.9.Proficiency in developing and implementing business strategies.1.Knowledge of SQL Server and Power BI experience required.2.Database design and data architecture.3.Data mining and analytics.4.Data security and privacy.5.Data visualization, including tools such as Excel and Access.6.Knowledge of Python is a plus.7.Experience with statistical analysis and modeling tools.8.Familiarity with machine learning algorithms and their applications in business analysis.9.Proficiency in using data integration and ETL (Extract, Transform, Load) tools. Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation

About The Role Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : HR Process Design Good to have skills : HR AnalyticsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Tech Delivery Subject Matter Expert, you will engage in a dynamic and collaborative environment where you will drive innovative practices into delivery. Your typical day will involve working closely with clients to understand their needs, analyzing requirements, and implementing technology best practices. You will leverage your expertise to enhance the reputation of the organization in the marketplace while shaping strategies that bring emerging ideas to life. Your role will require you to communicate effectively and build trusted relationships with clients, ensuring that their objectives are met through tailored solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops and meetings to gather requirements and present findings.- Develop and document best practice processes to enhance operational efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in HR Process Design.- Good To Have Skills: Experience with HR Analytics.- Strong understanding of process mapping and optimization techniques.- Ability to analyze and interpret data to inform decision-making.- Excellent communication and interpersonal skills to foster collaboration. Additional Information:- The candidate should have minimum 2 years of experience in HR Process Design.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML frameworks to ensure they meet evolving business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of data preprocessing techniques and feature engineering.- Experience with various machine learning algorithms and their applications.- Ability to interpret and visualize data insights effectively.- Familiarity with programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Automation Anywhere Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful project outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Automation Anywhere.- Strong understanding of process automation and optimization techniques.- Experience with application design and development methodologies.- Familiarity with project management tools and practices.- Ability to analyze and troubleshoot application issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in Automation Anywhere.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Automation Anywhere Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to help them grow in their roles. Professional & Technical Skills: - Must To Have Skills: Proficiency in Automation Anywhere.- Strong understanding of process automation and optimization techniques.- Experience with application design and development methodologies.- Ability to troubleshoot and resolve application-related issues effectively.- Familiarity with integration of applications with existing systems. Additional Information:- The candidate should have minimum 3 years of experience in Automation Anywhere.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About this role: Wells Fargo is seeking a Lead Business Execution Consultant. In this role, you will: Lead cross functional teams to strategize, plan, and execute a variety of programs, services and initiatives Drive accountability for assigned initiatives, limit risk exposure, and create efficiencies as appropriate Review strategic approaches and effectiveness of support function and business performance Perform assessments through fact finding and data requiring creative approaches to solving complex issues, and develop appropriate solutions or recommendations Make decisions in highly complex and multifaceted situations requiring solid understanding of business group's functional area or products, facilitate decision making and issue resolution, and support implementation of developed solutions and plans Collaborate and consult with members of the Business Execution team and team leaders to drive strategic initiatives Influence, guide and lead less experienced Strategy and Execution staff within the group Required Qualifications: 5+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 5+ year of automation experience Experience in emerging technologies including generative AI, agentic AI, Data Engineering, Data Mining & Visualization, machine learning, and NLP/NLG. Demonstrated expertise of Automation tools such as UiPath, Power Apps, MS Dynamics Strong understanding of banking processes and the financial services industry. Exceptional research and analytical skills, with the ability to translate complex data into actionable insights. Excellent project management skills, with a track record of successfully leading innovation projects. Product Owner experience and/or certification Knowledgeable about technology development lifecycle and agile methodology (Scaled Agile) Experience gather user/business requirements and translating them into epics and user stories. Ability to work collaboratively in a cross-functional team environment and manage relationships with diverse stakeholders. Excellent verbal, written, and interpersonal communication skills Ability to lead projects/initiatives with high risk and complexity Experience driving and leading organizational change in a dynamic environment Knowledge and understanding of software development lifecycle, from design and development to testing, implementation and production support Knowledge and understanding of project management principles: coordinating, planning and executing through all phases Knowledge and understanding of project management principles: defining future state, gap analysis, and scope management Ability to think strategically, implement, and deliver business objectives Experience in problem analysis, solution implementation, and change management Prior experience in JIRA and Confluence Job Expectations: Wells Fargo is seeking a dynamic and forward-thinking Intelligent Automation New gen Product Owner with hands on experience to join our team. In this role you will liaise you will solve high complex business problems through innovative automation solutions. As a Product Owner, you will work directly with subject matter experts within the lines of business to fully comprehend business processes and translate those processes into clear and concise user stories, partner with tech teams to ensure automation delivery and deployment. This role will support automation testing, as well as facilitate User Acceptance Testing. The ideal candidate will have the ability to wear multiple hats within the scrum team and remain flexible as focus and priorities shift. It is essential that the person in this role have superior communication skills.

We seek a Software Engineer to join our Global Retail Systems Development team in the Competitive Monitoring division. You will solve complex challenges in distributed systems, web applications, and data mining while building systems that strengthen Amazons market position. Our team creates high-performance monitoring systems using advanced data retrieval and analysis techniques. You will develop real-time solutions that process market data for Amazons retail operations. This includes building scalable services, creating Application Programming Interfaces (APIs), and implementing robust security protocols. Your primary responsibilities will include designing and implementing data processing systems, developing responsive user interfaces, and creating maintainable code that meets our performance standards. You will collaborate with cross-functional teams to deliver solutions that process competitive data and generate actionable business insights. This role combines technical expertise with business impact in a fast-paced retail technology environment. Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

The primary responsibility of the GM Regulatory Permanent Control Officer (GM RPC) is to establish, deploy and run the Governance Control Frameworks specifically for Sanctions Embargoes called by any regulation impacting Global Markets Front or required by the Banks supervisors. Responsibilities Direct Responsibilities PROTECTION Help reduce strengthen front to back regulatory control framework by investigating on regulatory incidents, writing incident reports, designing remediations and following-up on actions GOVERNANCE Preparation of regulatory governance committees including production of KPIs and drafting of governance documentation. Initial focus will be short selling, onboarding of new trading venues and best execution RISK ASSESSMENT CONTROLS Assess and document EMEA regulatory landscape for capital markets activities Assess and challenge the effectiveness of GM control set up against regulatory risks, propose and implement improvements Materialize and maintain the GM control plan from a front to back perspective and perform mapping with Functions Global Control Plan Perform data analysis to assess quality of data feeding regulatory controls Execute regulatory controls and report results in governance documentation Investigate on regulatory breaches identified in controls and follow-up with relevant stakeholders to close findings Technical Behavioral Competencies Key required skills REGULATORY BACKGROUND Is genuinely interested in financial markets regulatory environment. Is able to analyze and document the bank regulatory landscape within the capital markets scope CONTROLS PROFICIENCY Can assess control performance in terms of design and implementation quality Can execute regulatory controls, identify and document breaches, and remediate underlying issues. Can follow-up on control findings remediation and demonstrate assertiveness with relevant stakeholders Has good data mining and data analysis skills (Excel at least, Python a plus) WRITTEN PRESENTATION SKILLS Can prepare quality presentations for internal regulatory governance forums (ppt) ANALYTICAL SKILLS Can investigate on a complex operational capital markets breaches and incidents, liaise with SMEs, and document findings in a well structured report (good writing skills required) Strong attention to detail required (Focuses on the prevention of mistakes regarding information utilised or delivered). ADMIN SKILLS Must be able to perform simple database administration tasks (update status of various action items resulting from governance forums) Specific Qualifications (if required) Working experience: 6+ years of experience in a top tier financial institution in a controls team and/or within the regulatory space (controls officer, regulatory project manager, regulatory governance officer) Experience with Capital markets Demonstrated ability to analyze and solve problems independently and to build quality relationship with stakeholders Experience with drafting and presenting PowerPoint presentation on a regular basis Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to deliver / Results driven Attention to detail / rigor Communication skills - oral written Transversal Skills: Ability to develop and leverage networks Ability to manage / facilitate a meeting, seminar, committee, training Analytical Ability Education Level: Master Degree or equivalent Experience Level At least 5 years