1826 Data Mining Jobs - Page 20

extractapplyapply Key Responsibilities: Mines and extracts data and applies statistics and algorithms necessary to derive insights for Digital Mine products and or services. Supports the generation of an automated insights generation framework for business partners to effectively interpret data Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, and other related services . Develops dashboard reports that measure financial results, customer satisfaction, and engagement metrics Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide the organization a competitive advantage Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects Contributes subject-matter expertise on automation and analytical projects, collaborating across functions Translates requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager Contributes for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business Executes plans for measuring impact based on discussions with stakeholders, partners and senior team members Executes projects with full adherence to enterprise project management practices

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when theyre supported to live their best lives, and when they feel welcome to bring their whole selves to work. Thats one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You ll be responsible not only for building models but also for managing their lifecycle from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

We re AtkinsR alis, a world-leading Design, Engineering and Project Management organization. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services and project management company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data and technology to transform the worlds infrastructure and energy systems. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors such as Engineering Services, Nuclear, Operations & Maintenance and Capital. News and information are available at www.AtkinsR alis.com or follow us on LinkedIn. Our teams are proud to deliver on some of the most prestigious projects across the world. Its thanks to our talented people and their diverse thinking, expertise, and knowledge. Join us and youll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise. When it comes to work-life balance, AtkinsR alis is a great place to be. So, lets discuss how our flexible and remote working policies can support your priorities. Were passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Womens Equality and being a Disability Confident and Inclusive Employer . We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We welcome you to bring your authentic self and create a better tomorrow with us. The future focussed HR organisation largely possess a strong Onshore Partnering Team and the Centre of Excellence, complimented by a robust Service Delivery Team offering top class services to employees from the HR People Hub, Bangalore. About the Job As a provider of multi-disciplined technical services to the built environment, AtkinsR alis is committed to design excellence in the delivery of first-class solutions which combine innovation, imagination, and best practices. As a Talent Acquisition Executive (ME Region) at AtkinsR alis Bangalore, you will lead full life cycle recruitment, including interfacing with hiring managers to create and review requisitions, screen candidates, participate in interviews when required, assist managers with reference checks, develop competitive job offers and track candidates with International Standards. About the Team You will be aligned to our Bangalore based- HR Shared Services team focusing on ME Recruitment. The team is committed to create competitive advantage by attracting, selecting, developing, and retaining talented individuals who are collaborative, innovative and driven. Read more about how you can thrive with us. We are looking for TA Executive to join our team. This role will be based at our AtkinsR alis office in Bengaluru. How will you contribute to the team? To perform this role successfully, the candidate will be responsible for but not limited to the following: Support sourcing and recruitment for both White collar and Blue collar staff Working with the stakeholders in the ME to identify and define the resource requirements obtain the necessary authorization and working with the resources and establish the most appropriate and cost-effective recruitment strategies to meet the business requirements Liaising and guiding the hiring managers on the selection of candidates throughout the end to-end involvement, e.g., CV review, interview feedback, etc. ensuring best fit for the role. Maintaining networks in critical technical sectors to facilitate effective passive recruitment. Manage multiple campaigns across various geographies Developing advertising programs (internal and external) in order to ensure high visibility with potential candidates. Manage and monitor internal applicant tracking system, ensuring that all candidates and applicants are properly tracked and have a disposition reason. Developing and maintaining an excellent relationship with internal and external clients and / or business partners to ensure achievement of recruitment goals. Analyze recruitment trends and results for continuous improvement of our strategies and processes. What will you contribute? Ability to demonstrate expertise within a recruitment environment gained within a corporate in-house or agency setting including: Bachelor s degree in business administration, human resources or related discipline . 5 years of post-qualification experience as an international recruiter (ME/APAC/UK/USA). Proven track record/experience recruiting/staffing experience in a corporate, professional services/consulting, or high-tech industry Prior experience of working in a Recruitment Managed Service environment (Preferably International support), RPO (recruitment process outsourcing) or an inhouse recruitment team is advantageous. Strong communication and interpersonal skills can build effective relationships with internal and external stakeholders at all levels. Extensive and demonstrable experience of sourcing candidates by utilizing a variety of methods including networking, on-line and off-line advertising, internet search (data mining), database searching and the use of Web 2.0 methodology (Google AdWords/social media etc.) in addition to utilizing relevant recruitment providers. Proficient in the use of Microsoft Office suite. Previous experience of working with recruitment, ATS (applicant tracking system) or vacancy management systems e.g., Taleo, Workday, etc. Confident, tactful, resilient, and demonstrating high levels of integrity driven, highly organized with the ability to identify and focus on priorities and deliver to deadlines Candidate should be flexible to work in ME Shifts. What We Can Offer You Varied, interesting and meaningful work. A hybrid working environment with flexibility and great opportunities. Opportunities for training and, as the team grows, career progression or sideways moves. An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual. Meeting Your Needs Additional Information We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Link: Equality, diversity & inclusion | AtkinsR alis India (AtkinsR alis.com) Worker Type Employee Job Type Regular

Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earths most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online Amazons Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking a Financial Analyst -II to support our accounting team. The responsibilities include month end closing activities, preparation of monthly/quarterly/annually reconciliations and balance sheet analysis. This position will support the Management in all aspects of financial accounting, reporting systems, procedures, and policies. This position will also play an important role in promoting systems/process development within department to ensure ongoing efficiency and control improvements. The successful candidate will have a strong desire in innovating processes and exceed expectations in a dynamic, fast-paced environment. Knowledge & Skills/ Business Acumen/ Education & Experience Must be a Certified Accountant with CA / ICWA/ CIMA/ CMA or CPA. Prior experience in Retail or Market Place or Financial Retail Services is a plus Strong interpersonal skills including written and oral communication skills. Zeal towards Operational Excellence/Process improvement & simplifications Excellent knowledge of financial controls and procedures, US GAAP knowledge would be plus Advance level excel and knowledge of SQL is a must Experience of Oracle/SAP Flexible, adaptable, well organized Knowledge of Six Sigma defect reduction techniques (Lean, etc) preferred Proactive behavior Strong team skills Self motivated , enthusiastic and highly energetic 4+ years of tax, finance or a related analytical field experience 4+ years of applying key financial performance indicators (KPIs) to analyses experience 4+ years of creating process improvements with automation and analysis experience 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience Bachelors degree in engineering, statistics or business, or Bachelors degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Six Sigma Black Belt Experience with advanced use of SQL for data mining and business intelligence Experience as a lean sensei, or experience working as a Quality Assurance Engineer 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience MBA, or CPA Knowledge of Tableau Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

We are looking for a sharp, solution-oriented Lead Analytics Consultant with deep experience in CPG and a strong command of data wrangling techniques. In this role, you ll partner with clients to turn complex data into clear, actionable strategies that solve real-world business challenges. If you re passionate about storytelling with data, identifying trends, and delivering insights that move the needle, this is the role for you.

Company: Marsh Description: Marsh McLennan Global Services (MMGS) India is seeking candidates for the following position based in the Mumbai office: Job Profile: Senior Engineer - Data Science MMC Business Unit: Marsh MMGS Function: Knowledge Services Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face. Marsh Advisory is the consultative branch of Marsh, provides solutions in the increasing needs of our clients to implement risk management programs within their organization. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, pandemic, ERM / BCP / BCM, climate change, supply chain, reputational, or other risks, Marsh Advisory can help. MMGS is a global knowledge center for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations. The Knowledge Services function under MMGS aims to provide specialized services in the domain of Research, Consulting, Data Analytics, Data Science, Actuarial and Design. This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Incumbent is expected to be an expert of Data Science algorithms, Business Analytics and Data Manipulation. Expertise in Python and SQL is a must. Experience with Insurance or Banking industry is a plus. Position Details This position is for an individual contributor in Data Science, who will develop and implement models using leading-edge techniques in machine learning, predictive modeling, artificial intelligence, and natural language processing as applied in commercial insurance and risk management. This position consults with clients and colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading analytics-based tools. Responsibilities Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Statistical Models, Machine Learning models, and finalizes with results that unlock insight for clients and colleagues 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 Serves as an internal expert resource and champion for data science within Marsh and MMC Coaches team members on the delivery of analytics-based tools and analyses and presentation of findings We will count on you to Mine and analyze data to drive optimization and implement business strategies Build machine learning algorithms based on the business ask Deploy API on the platform by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc. Use advanced analytics to augment consulting deliverables with data backed outputs Conduct research on the clients risk areas and prepare a point of view for consulting Qualifications Masters Degree in Math, Statistics, Data Science, Actuarial Science or related field Expert statistical modeling knowledge, including familiarity with machine learning techniques Ability to face difficult and sometimes complex problems Ability to develop strong internal/external client oriented solutions Superior detail orientation, excellent communication and interpersonal skills Knowledge of modern programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorch R or VBA may be helpful but not required What makes you stand out Understanding of insurance and risk management Knowledge and demonstrated experience of advanced NLP and computer vision Experience of building data visualization in Plotly/Dash/D3.js Hands-on experience with stochastic or econometric modelling 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.

Are you passionate about turning data into actionable insightsDo you thrive in a fast-paced, results-oriented environmentAmazon Pay is seeking a talented Category Business Analyst to join our Recharge & Bill Payments team. Support Weekly Business Reviews, conduct Root Cause Analyses, and track product health metrics Automate workflows for Product Managers Handle operational tasks for the business unit Collaborate with cross-functional teams and multiple stakeholders Monitor and respond to alarms, ensuring smooth business operations The ideal candidate will be: Highly organized and detail-oriented Able to work on multiple projects simultaneously and meet tight deadlines Self-motivated with strong analytical and problem-solving skills An excellent communicator, both written and verbal 1+ years of data analytics or automation experience 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 Experience with data mining tools like SQL, SAS, SPSS, or similar Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

As an Application Development Senior Analyst, you will be part of a team of analysts and engineers-on code triage and analysis, and quick fixes for issues impacting the Evernorth applications. The focus of the work is to identify and rectify any technical and functional challenges in Evernorthmarket-winning capabilities in the technology solutions space. Responsibilities Be a team contributor in a team of Engineers and Analysts in triaging technical and functional issues. Day to day ticket triage, monitoring of the ticketqueues. Monitor OL comment trends. Regression Checkouts adhoc and planned. Create, co-ordinate and track resolution of stories required for fixing tickets. Data mining for checkouts Monitoring Jobs and reacting to job issues Release checkout pocs Ad hoc data research Qualifications: 3 - 5 years of Years experience in application development or maintenance College degree (Bachelor) in related technical/business areas or equivalent work experience. Experience with Java/Spring Boot Experience using Splunk and Dynatrace (Mandatory) Basic knowledge with any of the following technologies: Angular, Python, Mongo DB, Node JS and ability to understand complex architectures. Strong analytical skills Demonstrate ability to perform root analysis and suggest rectification options. Preferred Qualifications: College degree (BE or MCA). Exposure to Production environments Industry / Domain Experience Needed: Demonstrated experience in production maintenance. Ability to navigate a geographically diverse team and communicate effectively. Familiarity with cloud-based architecture and its usage in complex applications Passion for analysis and learning to grow, adapt to a fast-changing environment. Location Hours of Work Full-time position, working 40 hours per week. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. General Shift (11:30 AM - 8:30 PM IST / 1:00 AM - 10:00 AM EST / 2:00 AM - 11:00 AM EDT) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Global Solution Engineer - Operations Dont miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSCs key result to ensure we generate relevant insights from the extracted data for improved outcomes. Be agile, innovating, and customer focused. Review operations with customers and assisting with defining and quantifying customer benefits Monitoring different UOP technologies process and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure upkeep of all solutions by troubleshooting the PM/PTA/PRA/POA/Benchmarking /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, applying automated predictive analytics. The focus is to support product, system, and solution through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment for the GSCs Key results. Part of 247 Operation of GSCCC Digital Insight Working in 24*7 Shift is an integral part of this role. Work with GSCCC Operation leader closely to make GSC as Center of Excellence Additional Candidate Qualifications: Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in shift as a replacement in short notice Effective presentation, and communication skills Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always looking at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Knowledge of DataScience Open Source is added plus. Proficiency in computer applications with emphasis on Data Analytics & Data Science is desirable Creative approach to process development and customer-centric behavior Comprehensive analytical, troubleshooting & problems solving skills. Ability to work independently and in a team environment, focusing strongly on delivering SMART data results and identifying alternative solutions when challenges arise from unstructured data. Ability to define the problem with limited information This role may require global customer-facing and internal/external travel, up to 10% of the time. BS degree in Chemical Engineering BS degree in Chemical Engineering

Job Description Summary The Sr Data Analyst - BI Reporting will play a key role in developing end-to-end reporting solutions from data collection and transformation to report generation and visualization. This role involves working on the cutting edge of data engineering and analytics leveraging machine learning predictive modeling and generative AI to drive business insights. Job Description Roles and Responsibilities Design visualizations and create dashboards/reports using Power BI (good to have Tableau experience). Explore clean and visualize data sets to prepare for analysis/reporting ensuring data quality and consistency. Develop and maintain BI semantic data models for large-scale data Warehouses/ Data Lakes eventually getting consumed by reporting tools. Leverage SQL and big data tools (e. g. Hadoop Spark) for data manipulation and optimization. Build advanced data models and pipelines using SQL and other tools. Ensure data quality consistency and integrity throughout the data lifecycle. Collaborate closely with data engineers analysts and other stakeholders to understand data requirements and optimize the data flow architecture. Document data processes data architecture modelling/flow charts and best practices for future reference and knowledge sharing. Desired Characteristics Technical Expertise 5 to 8 years of experience in data analytics data mining/integration BI development reporting and insights. Strong knowledge of SQL and experience with big data technologies such as Hadoop Spark or similar tool for data massaging / manipulation. Develop advanced visualization/reports to highlight trends patterns and outliers making complex data easily understandable for various business functions. Implement UI/UX best practices to improve navigation data storytelling and the overall usability of dashboards ensuring that reports are actionable and user-friendly providing the desired insights. #LI-CK1 Additional Information Relocation Assistance Provided: Yes

Job Description Summary Based at GE Power Conversion Chennai site the Parts Engineer role is an exciting opportunity for an action-oriented individual with technical foundation of Power Conversion equipment. You will be able to leverage your Power Conversion knowledge as a main point of contact to directly support quotes and sales conversion drive customer fulfillment while you collaborate across the globe with key functional teams and enhance your strategic business acumen. Job Description Essential Responsibilities Be responsible for the identification of project spare parts life-cycle status and replacement strategy in the Global Parts catalog within the Power Conversion Parts Organization. Communicate with customers to convert quote and order requests into deliverable applicable part(s) by researching drawings renewal parts books databases catalogs and other available sources for accurate product configuration. Proactively identify spares for past projects categorize spares by customer function criticality. Perform Project obsolescence studies Verify applicability and fit of critical customer requests to application. Communicate with engineering groups to improve internal record accuracy and document replacement strategies for obsolete parts. Provide support to internal and external customers in support of sales initiatives. Identify newly created part numbers and accurately complete part definition attributes in a timely manner. Maintain engineering part definition attributes required to process requests for parts. Contact qualified Vendors in order to identify/ or validate part definition life-cycle status price availability and replacement part if part is defined as obsolete. Collaborate across the business including Spares and Repairs Engineering Sourcing Order Management and Global Field Sales teams. Provide technical input pertaining to the part substitution / interchangeability process. Qualification/ Requirements Diploma or Bachelor Degree from accredited college / university in Electrical Engineering or Electronic or Instrumentation Engineering. 3 - 7 years of relevant experience (5 - 10 years for Diploma holders) Technical knowledge on Industrial Drive systems (LV/MV) PLC Systems etc. Experience in design engineering field engineering manufacturing shop assembly or spares/ replacement parts involvement. Experience in O&G or offshore or Marine or Metal industry or Renewables Writing Reading and Verbal English Fluency required. Ability to read and write technical specifications. Ability to translate and interpret BOM into orders and parts. Excellence in Customer Service. Commercial awareness. Ability and willingness to travel as required. Desired Characteristics Prior experience with SAP or current ERP systems. Prior experience with Teamcenter or current PLM systems. Ability to read drawings and have familiarity with BOM structures. Aptitude with analytical tools (ex. Excel Access and PowerPoint); specific skills should include: data-miningpivot tables and data Manipulation. Strong problem solving skills. Strong attention to detail. Strong oral and written communication skills. Strong interpersonal and leadership skills. Cross functional ability to work on matrix environment and international team experience. Be able to work within a team environment. Demonstrated technical aptitude and business acumen. Additional Information Relocation Assistance Provided: Yes

We are looking for a highly motivated and results-driven IT Sales & Marketing Executive to join our team. The ideal candidate will be responsible for generating leads, converting prospects into clients, and promoting our IT services, including website and mobile app development. Key Responsibilities Generate leads through online research, cold outreach, and networking platforms. Use tools like LinkedIn, Apollo, ZoomInfo, Hunter, and Snov.io for targeted data collection. Communicate with prospects via email, calls, and messages to explain services. Follow up with leads consistently to build relationships and move them through the sales funnel. Understand client requirements and propose suitable IT solutions (web/app development, SaaS, etc.). Convert qualified leads into long-term clients through presentations and negotiation. Conduct market and competitor research to identify new business opportunities. Prepare project proposals, quotations, and service packages as per client needs. Maintain lead and client records in CRM tools like HubSpot or Zoho. Submit weekly and monthly performance reports to management. Use productivity tools like Google Workspace, Trello, Notion, and automation for outreach. Achieve monthly sales targets and contribute to business growth.

Business Overview Roundel is Targets entry into the media business; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We operate with the ethos of trust and transparency and that media works best when it works in everyones best interest . At the very root of that, Roundel is here to drive business growth for our clients and redefine value in the industry by solving core industry challenges vs. copy current industry methods of operation. We are here to drive a key growth initiative for Target and to lead the industry to a better way of operating within the media marketplace. As the Analyst Data Strategy P&I at Roundel , you would responsible for understanding the data needs across team and would also develop and execute a roadmap to maximize data capabilities that align with the evolving needs of the P&I team. You would be the data custodian for the P&I team responsible for scaling the data function in the form of new products and services. You will also be responsible for ensuring that the data across the products is consistent with the highest standards of accuracy. You will do so by bringing your knowledge and expertise of working in a data analytics/data-centric business environment with a strong foundation in data strategy. You would work towards building new data capabilities in partnership with Roundels Product functions to enhance the reporting and insights machinery within the P&I team. You would work as a conduit between the product and P&I team to simplify data across sources to ensure data consistency and integrity and to develop new custom data products that support multiple use cases (MMM, Custom Analytics, etc.). Additionally, you will coordinate and lead both small and large working sessions withbusiness stakeholders that drive to conclusions,agreement,and outcomes. Key Responsibilities Data custodian for the P&I team to build and maintain data sets for reporting, insights, custom analytics and visualizations; creating clear documentation and managing accessible data libraries Create new data products that align with evolving P&I reporting needs and result in time and efforts savings for analysts. Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support. Data Warehousing Identify new data sets that can be integrated into existing reporting platforms to enrich our reporting & insights Continue to develop and help drive the strategy for the different data need including data architecture, reporting, insights, analytics, MMM, etc Data Quality and Reliability Develop procedures to enhance the accuracy and integrity of data by performing data analysis as well as by collaborating with product team to enhance data collection and storage procedures Ensure that the data from different sources which flows in the analyst facing products is consistent and accurate for all business use cases Ensure data accuracy, as well as reporting output quality control, as required also troubleshoot and identify root causes for data inaccuracy- manual v/s system errors Work with Cross-functional teams Product, Measurement, BII & GTM to align on the data strategy/ data roadmaps and implement solutions. Contribute to team-upskilling efforts required to familiarize them with the data products as well as also address any data challenges faced by them About You: 5-7 yrs of working experience; designing, building, and optimizing data structures for ETL processes, data wrangling & processing large data, cleaning and preparing data, querying data, and conducting exploratory analysis with a strong foundation in data strategy. Masters or bachelors degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering. Knowledge of database structures, building and improving scalable datasets, and managing data pipelines and infrastructures Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark and Scala desired but not mandatory Proven hands-on experience developing and preparing datasets for use in business intelligence (BI) tools such Domo (mandatory), Tableau, and Power BI are good to have) Knowledgeable in data models, data mining, and segmentation techniques. Background in Ad-tech or Retail Media Network Experience is desirable but not mandatory Excellent oral and written communication skills and the ability to summarize and present complex information in a clear and concise manner to technical and non-technical audience Experience and passion for using data to explain or solve complex business problems and influence the invention of new systematic and operational processes Experience working with ambiguity in a dynamic and challenging environment to drive long-term sustainable solutions Proven experience of achieving results by leading, partnering, and influencing peers and leaders

Overview The Transportation Modeler / Blue Yonder TMS Specialist primary responsibilities include Led end-to-end transportation modeling initiatives, ensuring alignment with business goals and system capabilities. Managed and maintained master data to meet all transportation modeling and optimization requirements. Collaborated with gTMS GCC team members and Sector SMEs to define modeling scope and align on opportunity assessment plans. Supported new deployments, system restarts, sustainment activities, and upgrade implementations, ensuring smooth transitions and minimal disruptions. Delivered solution training and provided ongoing data management support to enable user adoption and model accuracy. Conducted in-depth analytics and benchmarking studies to identify performance gaps and drive continuous improvement. Responsibilities Lead the transportation modeling of targeted markets using Blue Yonder TMS and TMS historical data. Modeling should assess a wide range of alternative improvement strategies to maintain or advance competitiveness in the markets transportation network. This may include considering different mode/carrier alternatives, employing unique hub or consolidation approaches, right-sizing your private or dedicated fleet(s), or evaluating alternative delivery models. Co-develop the initiative roadmap that is a result of the modeling work with Sector / Market leaders. Support new market deployments, TMS software upgrades, and continuous improvement assessments in partnership with Sector Transport organization. Analyze the modeling results and provide insight to include items like appropriate fleet sizing, analyze the impact of mode shifting, and evaluate optimal customer routing. Develop and confirm datasets and files used to support the application of the modeling software. Generate a wide variety of reports and presentations to convey technical transportation results to various audiences. Coordinate a review of the modeling results and findings / recommendations with key stakeholders in each Sector / Market. Qualifications Fluent in English 9 12 of over all years of experience in TM Master's degree, in Supply Chain Mgmt. or in a quantitative field such as Statistics, Applied Mathematics, Data Science Minimum of 4-6 years of experience in transportation modeling, logistics and supply chain optimization in CPG environment. Prior work experience must include a minimum of 2 years of experience in the following areas Experience with TMS tool and modeling software (TMOD) Strong experience with data mining and data analysis Demonstrated experience communicating data insights to others, including use of data visualization tools (Tableau, Power BI)

Overview Data Engineering Assoc Manager (L09). Responsibilities Enhance and maintain data pipelines on EDF Requirement analysis, data analysis Work on application migration from Teradata to EDF Lead a team of data engineers and testers Qualifications Data engineer with 10+ years of experience

Job Title:Cobol DevExperience:5-10YearsLocation:Bangalore : Technical Skills: 5 + Years of experience as ETL data developer in Informatica, CONNX, SQL Server, Oracle DB setup CONNX metadata for Eligibility and Billing tables. Design and develop informatica ETLs to convert IMF data to Certifi format, Eligibility file format and IMF Notes format Support reconciliation of data across MMC systems and Javelina/Certifi/AWS Archive Proficiency in designing, developing, and debugging ETL workflows and mappings. Experience with Informatica transformations like Source Qualifier, Expression, Lookup, Aggregator, and Filter. Familiarity with performance optimization techniques in Informatica (e.g., session tuning, partitioning). Experience in extracting data from SQL Server and writing it into delimited file formats like CSV. Knowledge of handling large datasets and ensuring efficient data movement. Familiarity with file-level operations like encoding, delimiter configuration, and column formatting. Skills in implementing robust error handling and logging mechanisms in ETL workflows. Ability to debug issues related to data extraction, transformation, or file generation Ability to work independently and as part of a team Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for: -Experience in film production, animation, and content creation. -Familiarity with AI tools for content creation. If you meet these requirements and are excited to be part of a dynamic team

Job Title:Data AnalystExperience5-10 YearsLocation:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

Job Title: Data Engineer Location: Pune Experience: Fresher 5 years Employment Type: Full-Time About the Role: We are looking for talented Data Engineers to join our expanding team. You will be responsible for integrating, managing, and optimizing data systems thus contributing to innovative and challenging projects. This is a great opportunity to enhance your technical skills and become a part of a successful team. Key Responsibilities: Develop, customize, and manage data integration tools, databases (MySQL), and data warehouses using Python, Java, and other relevant technologies. Write and execute complex queries and automation scripts for processing operational data. Collaborate with the testing team to assess the reliability and performance of systems. Deploy data models into production, manage computing resources, and implement monitoring tools. Create tools for data visualization, reporting, and support for data analysis. Monitor and optimize data pipeline performance and stability, ensuring alignment with evolving data models. Work with senior engineers to implement improvements and process enhancements. Stay updated on data engineering best practices, focusing on automation and efficiency. Assist in the development of Machine Learning models by providing clean and structured data pipelines. Mentor and collaborate with peers, contributing to a learning-focused work environment. Technology Stack & Required Skills: Strong understanding of ETL processes, experience with tools like Airflow. Hands-on experience with Python, Java and relational databases (e.g., MySQL) and NoSQL databases (e.g., Cassandra, MongoDB). Knowledge of cloud platforms such as AWS or Azure, with experience in tools like Azure Data Factory or AWS Snowflake. Basic understanding of Machine Learning concepts and experience supporting ML models (optional but preferred). Experience with Big Data tools such as Spark and streaming tools like Kafka is a plus. Familiarity with data visualization tools like PowerBI or Tableau. Strong ability to handle large data volumes efficiently. Knowledge of GenAI LLM models. Qualifications: BE/ME/MCA in Computer Engineering or related field. Fresher-5 years of experience in Data Engineering roles. Prior experience working in Agile teams and contributing to complex projects.

Skills Data Visualization Statistical Analysis SAS Programming Machine Learning Data Mining Dashboard Development Big Data Analytics Predictive Modeling Job Overview The ideal candidate will have a maximum of 6 years of relevant work experience and will be proficient in data visualization SAS programming and dashboard development Qualifications And Skills Proficiency in data visualization techniques to present complex data in an understandable manner Mandatory skill Strong expertise in SAS programming for data manipulation and analysis Mandatory skill Experience in developing interactive dashboards using SAS Visual Analytics Mandatory skill Ability to conduct statistical analysis for finding trends and patterns in datasets Knowledge in machine learning algorithms and their real world applications Familiarity with data mining processes to extract valuable insights from large data sets Understanding of big data analytics to handle and analyze large volumes of data Skills in predictive modeling to forecast future data points and behaviors Roles And Responsibilities Develop and maintain SAS Visual Analytics dashboards to support business operations and decision making Collaborate with cross functional teams to understand data needs and provide actionable insights Ensure data accuracy and integrity through thorough testing and validation Implement statistical analysis and predictive modeling to derive meaningful business insights Utilize machine learning techniques to automate data analysis processes Participate in the continuous improvement of data analytics practices and methodologies Assist in troubleshooting and resolving any issues related to data visualization and SAS programming Stay updated with the latest trends and advancements in SAS technologies and data analytics

Location- Noida Experience - 3-6 years Responsibilities: You will be responsible for building database for various services through secondary research To search list of companies on Google and LinkedIn Good to have exposure in data mining & mapping Your target geography will be outside India Must be able to do research for lead generation. Must have: Deep Research Knowledge (primary & secondary) Understanding of Keywords and how to use them to get better results. Knowledge of using different databases like Zoominfo, Insideview, Builtwith etc. Must know Linkedin and how to extract data using it Must be able to do market research using different tools Use of email verifiers

As an Economic Analyst for North America (NAM) at the Mastercard Economics Institute (MEI), you will play a crucial role in contributing to economic research and data analytics for the U.S. and Canada. Reporting directly to the VP, Lead Economist for North America, you will be responsible for engaging in client and stakeholder interactions, collaborating with external partners, and generating actionable insights to support impactful economic storylines and visuals. Your role will involve synthesizing analyses into clear recommendations, assisting in the creation of reports and client presentations, and enhancing existing products while also contributing to the development of new solutions. You will be expected to proactively seek new knowledge, structure project work efficiently, and actively participate in thought leadership activities to continuously improve the quality and productivity of economic research initiatives. To excel in this role, you must hold a Bachelor's degree in Economics, Statistics, or Mathematics, with a strong background in statistical modeling, quantitative analysis, and data engineering, particularly in economic research. Proficiency in SQL and Hadoop is essential, along with expertise in statistical packages such as R, Python, and Tableau. Knowledge of JavaScript for data visualization is advantageous, and experience in financial services would be beneficial. In addition to technical skills, excellent communication and strong writing abilities are required for effective collaboration and presentation of insights. You should be willing to learn new statistical applications or software as needed and demonstrate proficiency in key econometric and statistical techniques to support the Institute's mission to provide valuable economic insights for customers, partners, and policymakers.,

YGS Web Solutions Pvt. Ltd. is a rapidly expanding IT company specializing in web and mobile application development. We are dedicated to providing cutting-edge, scalable, and secure digital solutions that are customized to meet the unique requirements of our clients. Our expertise includes full-stack development, UI/UX design, and digital strategy, all geared towards enhancing the online presence of businesses. We are currently seeking an Email Marketing Specialist to join our team at our Mathura office. This is a full-time position that focuses on managing and implementing cold email campaigns to drive business leads. The role requires hands-on experience in cold outreach, where the successful candidate will be responsible for creating contact lists, crafting compelling email content, and targeting various industries and decision-makers. **Responsibilities:** - Develop and deploy cold email sequences aimed at engaging potential clients and businesses. - Independently research and gather lead data including email addresses, names, and company information. - Write persuasive and professional outreach emails for initial contact, follow-ups, and responses. - Monitor and analyze performance metrics such as open rates, click-throughs, and responses. - Maintain and organize lead pipelines effectively using spreadsheets or CRM tools. **Qualifications:** - Minimum of 1 year experience in cold email outreach or email marketing. - Proficient in sourcing data from directories, websites, or other tools independently. - Excellent written English skills with a focus on clear and convincing communication. - Familiarity with email marketing platforms like Mailchimp, SendGrid, Lemlist, etc. - Detail-oriented with the ability to manage multiple campaigns efficiently. - A degree in Marketing, Business, or a related field is preferred but not mandatory.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an AEP Senior Developer, you are expected to have a Bachelor's degree or equivalent qualification, along with a minimum of 5 years of full life cycle implementation experience using various SDLC methodologies such as waterfall and Agile. Additionally, you should have at least 4 years of experience implementing Adobe Experience Platform solutions and delivering projects, including leading group workshops and joint application design sessions. Proven work experience as a Data Lead, Data Scientist, Data Analyst, or similar role is also required. Your responsibilities will include coordinating with stakeholders to gather business requirements and participating in all aspects of the software development lifecycle. This includes estimating, technical design, implementation, documentation, testing, deployment, and support of applications developed for our clients. You should have hands-on experience conceptualizing, designing, building, and deploying Adobe Marketing Cloud solutions with Adobe AEP application services like Customer Data Platform (RTCDP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA). An in-depth understanding of database structure principles, knowledge of data mining and segmentation techniques, proven analytical skills, problem-solving ability, and demonstrated teamwork and collaboration experience are essential for this role. EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Technical Program Manager at our company, you will play a crucial role in driving project management efforts across various functions and divisions. With a Bachelor's degree in Project Management, Information Technology, Computer Science, or a related field, you will bring your knowledge and experience in planning and project management to the table. We are looking for someone with up to 5 years of relevant experience, including working on large-scale projects involving multiple scrum teams. Experience with agile project management methodology is preferred, and advanced communication skills are a must, encompassing writing, listening, and verbal proficiency. Strong leadership skills are essential, as you will be responsible for building and maintaining robust relationships. Proficiency in tools like PowerPoint, Excel, Word, Jira, and Rally is required to excel in this role. The role of Lead Technical Program Manager within the Prepaid team is a dynamic opportunity to drive our customer experience strategy forward through innovation and problem-solving. In this position, you will act as a Release Train Engineer for a SAFe Agile Train, overseeing project execution from inception to completion. Your responsibilities will include managing the end-to-end delivery of engineering work, coordinating with various teams and stakeholders, negotiating features and priorities, and ensuring successful project delivery. Collaboration with engineering managers, effective communication, and project scheduling are key aspects of this role. Additionally, you will be expected to identify and resolve blocking issues, manage project communications, and foster positive relationships with team members and peers. Joining as a Lead Project Manager with the ONE Service Delivery team, you will be instrumental in driving the customer experience strategy forward by innovating and solving complex problems. This role involves leading complex initiatives and projects, coaching junior employees, planning and executing schedules, and ensuring methodology compliance. As a Lead Project Manager, you will be responsible for managing complex resolutions, communicating project status to senior management, and contributing to the development of solutions for intricate problems. Additionally, you will provide input into the performance appraisal process for junior employees and consult on new products, processes, standards, or plans to support the business. If you are passionate about building innovative software solutions, our team of talented engineers welcomes you as a Software Engineer. You will collaborate with cross-functional teams to design, develop, and test high-quality code for cutting-edge products or services that impact millions of users. As a member of the Product Management team, you will champion our users by conducting user research, defining product strategy, and driving feature development to enhance user satisfaction and drive business growth. Alternatively, if you have a knack for data analytics, you can unlock the power of data by joining our team as a Data Analyst. Your role will involve translating complex data into actionable insights, utilizing data mining, modeling, and visualization techniques to inform strategic decisions and foster business innovation. At our organization, corporate security responsibility is paramount. Every individual working for or on behalf of our company is expected to adhere to Mastercard's security policies and practices, ensuring the confidentiality and integrity of accessed information. Reporting any suspected information security violations or breaches and completing mandatory security trainings are essential components of maintaining a secure environment for our assets, information, and networks.,