Job description Adobe DMe B2B analytics team is looking for a Senior Analytics Engineer to build the foundational data assets and analytical reports for the B2B customer journey analytics. The data assets and reports will provide quantitative and qualitative analysis for acquisition, engagement and retention. In addition, the candidate will contribute on multi-functional projects to help business achieve its potential in terms of revenue, customer success, and operational excellence. What you'll Do Analyze complex business needs, profile diverse datasets, and optimize scalable data products on various data platforms, like Databricks, prioritizing data quality, performance, and efficiency. Build and maintain foundational datasets and reporting solutions that power dashboards, self-service tools, and ad hoc analytics across the organization. Partner closely with Business Intelligence, Product Management, and Business Stakeholders to understand data needs. Guide and assist junior analytics engineers and analysts through code reviews, advocating standard methodologies, and encouraging a culture of code simplicity, clarity, and technical excellence. What you need to succeed Strong analytical approach with critical thinking and problem-solving skills. Ability to quickly understand Adobe products, business processes, existing data structures, and legacy code. Minimum of 8 years of experience in data analytics, data engineering, or a related field. Solid expertise in data warehousing, data modeling, and crafting scalable data solutions. Proficiency in SQL and/or Python for building, optimizing, and fixing data pipelines. Experience using AI tools (eg, GitHub Copilot, Claude) to speed up and improve development workflows. Excellent communication skills needed to effectively work with business collaborators, engineers, and analysts Role: Business Intelligence & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Product managementgithubData modelingAnalyticalData structuresData qualityBusiness intelligenceAdobeSQLPython

Job description Dear Professional, We are excited to present a unique opportunity at Cognizant, a leading IT firm renowned for fostering growth and innovation. We are seeking talented professionals with 9- 14 years of experience in Wireless Network to join our dynamic team. Your expertise in these areas is highly sought after, and we believe your contributions will be instrumental in driving our projects to new heights. We offer a collaborative environment where your skills will be valued and nurtured. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Wireless NetworkingCisco WirelessAruba Wireless

Job description Skill required: Order to Cash - Billing Processing Designation: Order to Cash Operations Senior Manager Qualifications:Any Graduation Years of Experience:16 to 25 years About AccentureCombining 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 You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.The Order to Cash Processing team provides services to clients and organizations by helping them in the areas of optimizing working capital, providing real-time visibility and end-to-end management of revenue and cash flow, and streamlining billing processes. This team over looks the entire processes that starts from customers inquiry, sales order to delivery and invoicing.The Collections Operations team focuses on managing collections and disputes such as debt collection, reporting on aged debt, bad debt provisioning, trade promotions, and outperform cash reconciliations. The team is responsible for follow up for missing remittances, prepare refund package with accuracy and supply to clients, record all collections activities in a consistent manner as per client process (tool), delivery of process requirements to achieve key performance targets, and ensure compliance to internal controls, standards, and regulations. What are we looking for We are looking for individuals who have the following skillset:Finance ProcessesAbility to manage multiple stakeholdersStakeholder Management and Multiple Client Interactions. Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibilityYou will need to create solutions in situations which requires an in-depth analysis/evaluation of variable factorsThis will require alignment to strategic direction set by senior management when establishing near-term goalsYour primary interaction will be with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approachSome latitude in decision-making is involved, you will act independently to determine methods and procedures on new assignmentsYou will need to flag risks to clients and Accenture stakeholders and propose action plans where neededYou will need to have an innovative mindset to identify improvement opportunities to optimize processes, decrease costs and increase client valueDecisions that you make in this role will have a major day to day impact on area of responsibilityYou will be managing medium - large sized teams and/or work efforts at a client or within AccentureYou would require transformation mindset and eye for identifying automation/process improvement opportunities.Please note this role may require you to work in rotational shifts. Qualification Any Graduation Role: Accounts Receivable Manager Industry Type: IT Services & Consulting Department: Finance & Accounting Employment Type: Full Time, Permanent Role Category: Accounting & Taxation Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills debt collectionbill processingorder to cashbillingcash flow accounts receivableaccounts payablesapsales orderinvoice processingaccountingcash applicationscollectionsbank reconciliationinvoicingfinancecredit control

Job description As a Senior Developer, you will play a pivotal role in our Signalling team, focusing on innovative products like Cloud Signalling Director and Policy elements. You'll lead the development of complex features, ensuring high performance, scalability, and code quality while working collaboratively in a lean, agile environment. Your expertise in cloud-native architecture, containerization, and microservices will drive our transition to cutting-edge software solutions for communication service providers. You have: 7+ years of relevant R&D Development experience on Telco grade products. Core Java programming skills with good analytical and debugging capabilities. Experience with Linux, Kubernetes, VMware, OpenStack, and working with CSF Assets & Blueprints. It would be nice if you also had: Experience with Cloud Native, Microservices, Containers, and Virtualization Technologies like Docker and gRPC. Knowledge of 4/5G Signalling, 3GPP specifications, and Hyperscale cloud capabilities (Azure, AWS, GCP). Experience with open-source PaaS environments such as OpenShift and Kubernetes. Lead software development efforts, overseeing multiple features to ensure high-quality project completion. Requirement analysis and design components based on cloud-native principles. Own and implement architecture at the system component level, prioritizing performance and scalability. Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills microservicescontainerizationjavaraws kubernetescssopenshiftjquerydockerreact.js5ggcplinuxpaasdebugginghtmlrequirement analysissoftware developmentvmwaremicrosoft azurecloud nativegrpcjavascriptopenstackagileangularjs

Job description Responsibilities: Develop and execute a data strategy to align with product development and business objectives. Foster data-driven decision-making throughout the product lifecycle, from development to marketing. Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. Integrate new data sources and technologies to innovate and optimize product analytics. Define and track product-specific KPIs and metrics to measure performance and inform strategy. Provide insights and recommendations to support strategic product initiatives and enhancements. Assess the impact of data-driven projects on product success and user experience. Advocate for the value of data analytics in driving product innovation and growth. Communicate complex data concepts to non-technical stakeholders to inform product strategy. Collaborate with cross-functional teams to understand and address product data needs effectively. Share success stories and case studies to illustrate the impact of data-driven product improvements. Stay updated on industry trends and advancements in product analytics and technology. Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. ualifications: Education: Bachelors degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: Extensive experience in data analytics or business intelligence, with a proven track record of leadership. Skills: Successful implementation of data strategies and fostering data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools (e.g., SL, Python, R, Tableau, Power BI). Excellent leadership, communication, and presentation skills. Ability to translate data insights into actionable business recommendations. Knowledge of ML, data governance, data quality, and data protection practices. Role: Analytics / BI Manager Industry Type: Telecom / ISP Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PythonMl Data ManagementData AnalysisTableauData Analytics

Job description The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. What you ll bring 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Tools & Technologies: o Strong hands-on experience in Python/R and SQL. o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. o Experience with data visualization tools in python like Seaborn, Plotly. o Good understanding of Git concepts. o Good experience with data manipulation tools in python like Pandas and Numpy. o Must have worked with scikit learn, NLTK, Spacy, transformers. o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. o Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. o Hands on experience with MLOps and model governance best practices in production environments. o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, a

Job description Join our Team About this opportunity We are seeking a highly skilled Data & Analytics Service Delivery Lead with proven competence on AI, and knowledge on OSS/BSS domains. The person will join a dynamic, globally diverse team taking care about Service Delivery within Data and Analytics Domain, with Customers distributed worldwide, in a context of non-delegated business. Team objective is to bring value through the expertise within Data and Analytics domain in telecom sector. The successful candidate will primarily focus on AI, enabling the Service Delivery process, model and strategy in such area. What you will do Define and fine tune the Service Delivery strategy and the Service Offering in collaboration with Portfolio and Sales. Support Sales for SI Services estimations. AI Use Cases Definition and harvesting, to unlock business value. Creation and Maintenance of Global Service Delivery Assets (Delivery Model and Pyramid, Industrialization, etc.) Scope build and scale AI Solutions. Ensure successful Projects Delivery execution, through the implementation of domain best practices. Drive Competence Management, internal and external. Work together with R&D for competence ramp-up, Product Serviceability Improvements, Service Led Business enablement, development of new Features and Use Cases. Work very close to Data and Analytics Portfolio and Sales, to properly set / fine tune the Service Delivery strategy and the Service Offering, primarily for AI. You will bring Demonstrated experience of more than 10 years in Service Delivery or equivalent roles in the OSS BSS space either internal or external Out of which at least 3 years in leading Service engagements in the analytics or AI or GenAI domains Cross-Functional Leadership Experience collaborating with diverse teams such as engineering and portfolio and marketing and sales Technical Understanding Strong domain expertise in telecom networks experience in telecom analytics tools as well as AI and Gen AI technologies and how they apply to data management solutions Analytical skills Proficiency in data analysis and the ability to use data-driven insights to make decisions Demonstrated leadership track record including personal development track record on the same Ability to lead a distributed diverse multi-cultural and matrix organization whilst securing right on time mobilization of stakeholder support for results Excellent English verbal and written communication skill Good to have Entrepreneurial and commercial thinking with an interest in business management Genuine interest in product architecture and technology Experience working in international markets or with global teams Why join Ericsson? What happens once you apply? Encouraging a diverse and inclusive organization is core to our values at Ericsson, thats why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 767937 Role: Business Intelligence & Analytics - Other Industry Type: Software Product Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Service deliveryTelecomData analysisUsageBssSalesData managementBusiness managementService Delivery LeadAnalytics

Job description As a customer success executive, you will be the customers' first point of contact for complaints, questions, requests, feedback, or any other needs; you are charged with managing relationships between clients and the company As the first person to interact with our customers, you are expected to use a high level of professionalism in their conversations, apply a thorough knowledge of their company's products and services, and respond quickly to requests and questions When contacted for a complaint, you are expected to "own the problem" - that is, take responsibility for responding to the issue, research the problem, and resolve it internally as quickly as possible to maintain the highest level of customer satisfaction Other responsibilities include keeping customer records and account information up to date and assisting in the onboarding process What you will do Be a part of one of the best customer success teams. You will assist other team members in following up with clients who have opened an account with Vested. This will involve messaging and calling them/ answering queries over call. Ensure customers remain satisfied with the product by educating them about functional capabilities and possible upgrades. Aid with the development and improvement of the product by gathering feedback to identify recurring issues and addressing these with the broader team. Maintain excellent service standards, going above and beyond to ensure customer satisfaction and retention. Uphold Vesteds highest standards of service while serving as the main point of contact for our clients, resolving inquiries and responding with empathy to concerns to build lasting relationships. Prior Experience Bachelors degree or equivalent experience. 1-2 years experience in a customer service role will be preferred. Qualities were looking for Excellent attention to detail, with a professional, enthusiastic, and warm phone presence. Proactive capability at owning and deepening client relationships. Role: Customer Service Industry Type: Financial Services Department: Customer Success, Service & Operations Employment Type: Full Time, Permanent Role Category: Customer Success, Service & Operations - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills bpodomestic bpoback officecustomer servicecustomer caretrainingcustomer supportvoice processcustomer satisfactionhandling customer queriesquality assurancecallingclient relationshipcustomer handlingretentioncommunication skills

Job description As an intern transitioning to a full-time role, you will own the end-to-end software development lifecycle, including technical design, implementation, deployment, support, and optimization of software solutions. You will Collaborate with the Business teams, Product teams and Clients to understand business scenarios and customer pain points Tackle complex technical challenges and build highly functional cutting-edge product features Own the complete product delivery across the full tech stack Continuously improving product performance and user experience To be successful in this role, you should be a meritorious student from a college of repute and have Bachelors/Masters degree in CS/IT Engineering, class of 2026 Min. 7 CGPA score with no backlogs Excellent programming skills either in Java or Python Strong academic performance in data structures and algorithms Demonstratable programming and application skills in academic projects - Java/Python/Rest APIs/PostgreSQL/similar Confident communication skills Our Tech Stack: Java(Springboot) Python(Django) PostgreSQL AI/ML REST, web services Angular, Javascript, HTML Jenkins, Maven, Git, Ansible AWS Role: Blockchain Quality Assurance Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills TelecomMavenHospitalityGITPostgresqlDjangoJavascriptData structuresHTMLPython

Job description Opportunity with Nandan Group Company for Lubricant/ Adblue business as a Diploma Trainee (Fresher ) in Production JOB PROLES & RESPONSIBILITIES OF THE CANDIDATE : 1. Supervise and execute daily production as per plan 2. Maintaining stock as per RM-PM 3. Maintaining Online Quality assurance 4. General Maintenance of Machines & Equipment's 5. Quantitative, Quality & packing assurance of FG. 6. Maximum utilization of manpower at shop floor 7. 5 'S' & Housekeeping at shop floor. 8. Production reporting. 9. ISO, IATF and other Audit documentation work. 10. Also take care of Maintenance in the plant Role: Production & Manufacturing - Other Industry Type: Oil & Gas Department: Production, Manufacturing & Engineering Employment Type: Full Time, Permanent Role Category: Production & Manufacturing - Other Education UG: Diploma in Chemical, Mechanical, Electrical, Electronics/Telecommunication, Engineering Key Skills Skills highlighted with ‘‘ are preferred keyskills production quality production reportingproduction planningmanpower utilisation5S