5336 Data Visualization Jobs - Page 26

The Data and Reporting Associate plays a vital role in converting raw data into valuable insights to support decision-making processes within the organization. This is an excellent opportunity for an individual who is detail-oriented, analytical, and enjoys working with data and reporting tools. Working alongside the analytics and reporting team, the Data and Reporting Associate will be involved in collecting, analyzing, and interpreting complex datasets to ensure accurate data reporting and to develop effective data-driven strategies. Collaboration with various departments is essential to tailor data solutions and provide insightful analyses aligned with strategic goals. The role requires a proactive approach, strong problem-solving abilities, and the skill to effectively communicate technical findings to non-technical stakeholders. Responsibilities - Collect, organize, and analyze large datasets from diverse sources for reporting purposes. - Develop and maintain dashboards and reports to facilitate informed decision-making. - Conduct regular audits and quality checks to ensure data accuracy and integrity. - Collaborate with different departments to understand and address their data requirements. - Translate intricate data findings into understandable insights and recommendations. - Assist in designing and implementing data management processes and procedures. - Monitor key metrics and generate recurring reports for performance monitoring. - Support data warehousing initiatives by aligning reporting needs with IT solutions. - Contribute to data strategy discussions and drive innovation in data analytics. - Provide training and assistance to team members on data reporting tools and techniques. - Conduct ad-hoc data analysis and deliver timely insights to stakeholders. - Uphold confidentiality and security of organizational data at all times. Requirements - Bachelor's degree in Data Science, Statistics, Business, or a related field. - Demonstrated experience in data analysis, reporting, and visualization tools such as Tableau. - Proficiency in SQL and Excel for data manipulation and analysis. - Strong analytical skills with a keen focus on accuracy and attention to detail. - Ability to effectively communicate complex data insights to non-technical audiences. - Prior exposure to data management and reporting software is preferred. - Familiarity with statistical analysis and data mining techniques is advantageous.,

As a Supply Chain Data Analyst, you will be an integral part of our partner's high-performance analytics team, focused on facilitating real-time, cross-functional decisions within the supply chain, finance, and operations domains. This role is pivotal in the initiative to streamline and modernize reporting within a complex ERP landscape by actively engaging in analytics delivery. Working in close collaboration with stakeholders from planning, logistics, procurement, and inventory management, you will play a critical role in transforming operational complexities into actionable insights. Leveraging your expertise in SQL and Power BI, you will be responsible for modeling and reshaping ERP data (specifically SAP ECC/S4) to drive informed decision-making. The ideal candidate for this role should possess a Bachelor's degree in Computer Science, Engineering, Business, or a related field, along with a minimum of 5 years of experience in business intelligence, analytics, or reporting. An essential requirement is previous exposure to ERP-driven data, with a strong preference for experience with SAP ECC or S/4HANA. Prior engagement in manufacturing, distribution, or supply chain-oriented environments, coupled with hands-on experience in supporting both recurring and ad hoc reporting needs, will be advantageous. Familiarity with modern data platforms like Databricks and Microsoft Fabric is considered a plus. Your proficiency in tools and technologies such as Power BI, DAX, SQL, and Excel will be instrumental in your day-to-day responsibilities. You will be tasked with designing and developing Power BI dashboards to track key metrics related to inventory, procurement, and logistics. Collaborating closely with supply chain and planning stakeholders, you will gather requirements and utilize SQL queries to extract and model ERP data for reporting purposes. Additionally, you will be expected to respond to urgent ad hoc analysis requests, automate manual reporting workflows, and contribute to the standardization of KPIs and reporting practices. Furthermore, your role will involve data cleansing, validation, and governance activities to ensure the accuracy and reliability of reporting outputs. You will also contribute to defining and enhancing data models across SAP and other source systems while continuously improving existing reporting assets based on feedback. Your participation in sprint planning processes will aid in prioritizing and aligning deliverables, thus contributing to the overall modernization efforts of the analytics platform. In summary, as a Supply Chain Data Analyst, you will play a pivotal role in transforming raw data into actionable insights, supporting stakeholders in making informed decisions, and contributing to the continuous enhancement of our partner's analytics platform.,

You have a great opportunity to join as a Test Automation Developer with 5+ years of relevant experience in test automation development and 4+ years of Python programming experience. Your main responsibilities will include innovating automated test development for applications developed in Linux/C/C++, developing automation test scripts using Python, converting manual test cases into reliable automated tests, and contributing to the Continuous Integration pipeline by running component builds, creating and running Deployment jobs on individual stages on Jenkins, and running automated functional tests. Additionally, you will be responsible for setting up and maintaining test automation infrastructure and tools, debugging failing tests to improve product and automated test quality, and developing tools/scripts to reduce manual work and increase productivity. Furthermore, you should possess strong problem-solving, analytical, and technical troubleshooting skills, along with experience in developing test plans and test cases. Your role will also require excellent debugging skills and comfort working with Linux-based systems. Proficiency with Automation Frameworks, continuous integration tools like Jenkins/Hudson, and experience working with Git/GitLab are essential. Effective communication, collaboration with cross-functional and remote teams, and a Bachelor's or Master's degree in relevant fields are also expected. Desirable experiences include familiarity with automated testing tools like JUnit, TestNG, Selenium, RestAssured, SoapUI, designing, developing, and maintaining Python-based test automation frameworks and scripts using BDD and TDD, previous experience in Non-Functional Testing, testing compatibility with Audio/Video streaming devices, experience in HDMI/HDCP, Wireless Networks, Bluetooth, and data analysis and visualization. In this role, you will have the opportunity to innovate automated test development, develop automation test scripts using Python, convert manual test cases into reliable automated tests, contribute to the Continuous Integration pipeline, set up and maintain test automation infrastructure and tools, debug failing tests, and develop tools/scripts to increase productivity. GlobalLogic offers a culture of caring, commitment to learning and development, interesting and meaningful work, balance, flexibility, and a high-trust environment. As a part of GlobalLogic, you will have the chance to work on impactful projects and collaborate with forward-thinking companies in transforming businesses through digital engineering solutions. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences since 2000. By joining GlobalLogic, you are becoming a part of a high-trust organization that values integrity and trust in all aspects of its operations.,

As a Data Scientist at our company, you will play a crucial role in analyzing large volumes of data, developing predictive models, and providing actionable insights to drive business decisions and enhance our learning systems. Your responsibilities will include collecting, cleaning, and preprocessing data from various sources, as well as building and assessing predictive models and machine learning algorithms. You will analyze data trends and patterns to offer valuable business insights and collaborate with teams across different functions such as product, marketing, and tech. Designing experiments, interpreting results using statistical techniques, and presenting findings through visualizations and reports will also be part of your role. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages like Python or R, strong SQL skills for working with large datasets, and familiarity with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch are essential. Additionally, knowledge of data visualization tools like Power BI, Tableau, matplotlib, and seaborn, along with excellent problem-solving, analytical, and communication skills will be beneficial. Staying updated with the latest advancements in data science and AI is crucial for this role. If you are a proactive individual with a passion for data analysis and a desire to contribute to meaningful business decisions, we encourage you to apply for this full-time Data Scientist position.,

About the Opportunity: Join a dynamic leader in the education sector that leverages advanced data analytics to drive institutional excellence. Operating in a technology-driven environment, this high-growth organization empowers its teams with a comprehensive data strategy. As a critical part of the on-site team based in India, you will help transform data into actionable insights that support strategic decision-making. Role & Responsibilities: Develop, optimize, and maintain complex SQL queries to support data extraction and reporting. Analyze large datasets to identify trends, correlations, and actionable insights to drive business decisions. Design and implement data models and warehousing solutions to improve reporting accuracy and performance. Collaborate with cross-functional teams to understand data requirements and translate business needs into technical solutions. Create and maintain dashboards and visual reports to present insights to stakeholders. Ensure data integrity and implement best practices for data cleaning and transformation. Skills & Qualifications: Must-Have: Proficiency in SQL with proven experience in writing efficient queries and managing large datasets. Must-Have: 1-3 years of hands-on experience in data analysis and developing data models in a high-paced environment. Must-Have: Strong analytical skills. Benefits & Culture Highlights: Work in a collaborative and innovative on-site environment with opportunities for professional growth. Be part of a mission-driven team that values data-driven insights and continuous learning. Health Insurance. Provident Fund. If you are a detail-oriented SQL Data Analyst ready to leverage your analytical expertise in a vibrant, on-site setting in India, we encourage you to apply and join our transformative team.,

You are a dedicated and detail-oriented Pre-Sales Service Engineer at Veetrag Computers Pvt. Ltd., supporting the sales and service teams with technical expertise during pre-sales activities. Your responsibilities include conducting product demonstrations, assisting with installations, ensuring customer satisfaction, and obtaining at least 5 signed feedback forms monthly. You hold a bachelor's or master's degree in computer science or a related field and possess cloud certifications such as AWS, Azure, or Google Cloud Platform qualifications, including AWS Certified Solutions Architect. Your proficiency lies in AWS, Azure, or GCP services with hands-on experience, managing identities, legal compliance, and cloud security concepts. You have a solid understanding of cloud networking, including firewall handling and troubleshooting cloud-related issues effectively. You collaborate with stakeholders to design accessible and resilient cloud systems, deploy cloud solutions, set up services, ensure correct integration for optimal performance, and implement security measures to protect cloud-based systems while complying with requirements and best practices. Basic knowledge of Hypervisor and Data Visualization is an added advantage. Veetrag Computers Pvt. Ltd. offers you a competitive salary with a generous commission structure, opportunities for professional growth and development, and a dynamic and collaborative work environment. This is a full-time role based in person.,

The role of Software Developer at our company involves working closely with the Optimization Engineering team to design, develop, and maintain custom software tools and digital platforms that support optimization initiatives across various engineering domains. As a Software Developer, you will contribute to lead time reduction, material and weight savings, process efficiency, and chemical composition optimization by creating intelligent, data-driven solutions. Your responsibilities will include collaborating with mechanical/electrical engineers to understand optimization goals, designing and developing software tools and dashboards, automating workflows, and visualizing engineering data. You will also be involved in validating and refining existing algorithms within the Optimization System, integrating digital platforms with CAD/CAE systems and PLM tools, and providing recommendations for tool integration. To be successful in this role, you should have a Bachelor's degree in computer science, Information Technology, or a related field, along with 3 to 6 years of relevant experience. Proficiency in programming languages such as Python, Java, C++, C#, or JavaScript is required, as well as knowledge of .NET frameworks. Experience with data visualization tools, simulation libraries, CAD/CAE integration, APIs, and manufacturing systems will be beneficial. Strong problem-solving skills and the ability to translate engineering requirements into software solutions are essential for this position. You should be able to work both independently and as part of a team in a fast-paced environment. Proficiency in spoken and written English is also necessary. If you have a disability and require accommodations during the job application process, you can request reasonable accommodations through our website. Please provide specific details about your required accommodation to support you during the application process. This opportunity is exclusively for job seekers with disabilities requiring accessibility assistance.,

You will be responsible for coordinating with Engineering, Service, and SMC for oils and paints, as well as field sales (Parts, Accessories Team). This includes coordinating with oil and paint vendors, AIS 140 for regular activities to increase sales, and understanding best practices. Your role will involve preparing and managing Sr. Management Decks, handling Suzuki Connect complaints and resolutions, and developing strategies to generate additional revenue through data analytics and business insights. Additionally, you will be required to coordinate with the field team for query handling and resolution, conduct sales forecasting, and identify sales trends to improve process efficiency. You will also manage periodic audits and coordinate the annual budget. The ideal candidate should possess a strong knowledge of Channel Management, particularly Dealers & Distribution. Proficiency in MS Excel and data modeling is essential, while knowledge of Power BI is preferred. You should be skilled in data analysis and data visualization, with the ability to handle large datasets. Strong interpersonal skills and a collaborative approach are crucial for this role, along with key account management skills being preferred.,

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. EY GDS Data and Analytics (D&A) OBIEE - Senior The opportunity We're looking for a Senior expert in Data analytics to create and manage large BI and analytics solutions using Visualization Tools such as OBIEE/OAC that turn data into knowledge. In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. Having business acumen and problem-solving aptitude would be a plus. Your key responsibilities You need to work as a team member and Lead to contribute to various technical streams of OBIEE/OAC implementation projects. Provide product and design level technical best practices. Interface and communicate with the onsite coordinators. Completion of assigned tasks on time and regular status reporting to the lead. Skills and attributes for success Use an issue-based approach to deliver growth, market, and portfolio strategy engagements for corporates. Strong communication, presentation, and team-building skills and experience in producing high-quality reports, papers, and presentations. Exposure to BI and other visualization tools in the market. Building a quality culture. Foster teamwork. Participating in the organization-wide people initiatives. To qualify for the role, you must have BE/BTech/MCA/MBA with adequate industry experience. Should have at least around 3 to 7 years of experience in OBIEE/OAC. Experience in Working with OBIEE, OAC end-to-end implementation. Understanding ETL/ELT Process using tools like Informatica/ODI/SSIS. Should have knowledge of reporting, dashboards, RPD logical modeling. Experience on BI Publisher. Experience on Agents. Experience in Security implementation in OAC/OBIEE. Ability to manage self-service data preparation, data sync, data flow, and working with curated data sets. Manage connections to multiple data sources - cloud, non-cloud using available various data connector with OAC. Experience in creating pixel-perfect reports, manage contents in the catalog, dashboards, prompts, calculations. Ability to create a dataset, map layers, multiple data visualizations, a story in OAC. Good understanding of various data models e.g. snowflakes, data marts, star data models, data lakes, etc. Excellent written and verbal communication. Having Cloud experience is an added advantage. Migrating OBIEE on-premise to Oracle analytics in the cloud. Knowledge and working experience with Oracle autonomous database. Strong knowledge in DWH concepts. Strong data modeling skills. Familiar with Agile and Waterfall SDLC processes. Strong SQL/PLSQL with analytical skills. Ideally, you'll also have Experience in Insurance and Banking domains. Strong hold in project delivery and team management. Excellent written and verbal communication skills. EY | Building a better working world 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.,

You are urgently hiring for a Software Engineer [Python] role with a focus on Core Platform Engineering for one of your direct clients in Pune on a Full-Time Contract basis. The ideal candidate should have 5-8 years of experience, with a preference for domain knowledge in Investment Banking. As a Software Engineer, your primary responsibility will be collaborating with Data Scientists and AI Engineers to develop and integrate enterprise-wide, scalable backend services and tools for agents. You will also work on intuitive user interfaces that support the deployment and usability of AI-driven applications. Your technical and domain skills should include proficiency in Python, RESTful APIs & Integration, Cloud Platform (Azure), SQL, CI/CD. Additionally, knowledge in Financial Services Document Management and Processing would be beneficial. Furthermore, familiarity with Cloud Azure, Enterprise Integration, microservices, server-side frameworks (such as Kafka, REST APIs, Flask), and programming languages like Python is essential for this role. Experience with DevOps practices, particularly in CI/CD, will also be valuable to succeed in this position.,

You will be responsible for understanding complex and critical business problems and formulating an integrated analytical approach to mine data sources. Your role will involve employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes to reduce effort and time for repeated use. You will manage the implementation and adherence to the overall data lifecycle of enterprise data, from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its lifecycle. Your high agility will allow you to work across various business domains effectively. Additionally, you will integrate business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will independently manage budgets, ensure appropriate staffing, and coordinate projects within the area. If you are managing a team, you will empower the team, provide guidance and coaching, with initial guidance from more senior leaders supervised. This role may be your first people manager experience. In this role, your major accountabilities will include project managing your tasks, collaborating with allied team members, and proactively planning and managing change. You will work with internal stakeholders, external partners, and cross-functional teams to solve critical business problems. Understanding life science data sources, researching and co-developing new algorithms, methods, statistical models, and business models will also be part of your responsibilities. You will quickly learn to use tools, data sources, and analytical techniques needed to answer a wide range of critical business questions. Supporting the evaluation of technology needs, proposing research articles for application to business problems, developing automation for data management, and articulating solutions to business users will be key aspects of your role. Furthermore, you will work with senior data science team members to present analytical content concisely and effectively, provide understandable and actionable business intelligence for key stakeholders, and may lead a small team or provide in-depth technical expertise in a scientific/technical field, depending on your career path. Reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt, as well as distribution of marketing samples, may also be required. Your key performance indicators will include the achievement and governance endorsement of data management and advanced analytics program tollgates, as well as successful implementation based on KPIs and program objectives. Minimum Requirements: - In-depth mastery of the external environment and trends. - 15+ years of relevant experience in Data Science. - 2+ years of relevant experience in Data Science. - Track record delivering global solutions at scale. - Strong professional network across Academia. Required Skills: - Apache Hadoop. - Applied Mathematics. - Big Data. - Curiosity. - Data Governance. - Data Literacy. - Data Management. - Data Quality. - Data Science. - Data Strategy. - Data Visualization. - Deep Learning. - Machine Learning (ML). - Machine Learning Algorithms. - Master Data Management. - Proteomics. - Python (Programming Language). - R (Programming Language). - Statistical Modeling. Language: - English. Novartis is dedicated to helping people with diseases and their families by fostering a community of smart, passionate individuals like yourself. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future, you can learn more about our values and culture at [Novartis Careers](https://www.novartis.com/about/strategy/people-and-culture).,

Uber's mission is to reimagine the way the world moves for the better. Bold ideas here create real-world impact, challenges drive growth, and speed fuels progress. What moves you, moves the world - let's move it forward, together. Offices are central to collaboration and Uber's cultural identity. Unless approved to work fully remotely, spend at least half of your work time in your assigned office. Certain roles require 100% in-office presence. Contact your recruiter for in-office expectations clarification. As a member of the GSS DAS team, you'll drive analysis behind operations and product-related decisions at Uber. Perform activities showcasing analytical thought leadership and Program Manage multiple data-driven projects. The ideal candidate is experienced in working with large data sets, data visualization, and passionate about data and analytics. Responsibilities include: - Developing end-to-end analytical solutions using large, complex data sets. - Translating data into actionable insights for technical and non-technical audiences. - Designing and maintaining KPI tracking systems for global operations. - Leading deep-dive analyses for product strategy, operational efficiency, and growth opportunities. - Building and maintaining dashboards using data visualization tools. - Driving experiment design, A/B testing, and statistical analysis. - Collaborating with cross-functional partners to define goals and influence decision-making. - Identifying opportunities for workflow automation and reporting process improvement. - Leading vendor data analysts and driving long-term process improvements. Requirements: - Bachelors or M.S. in Statistics, Economics, Computer Science, or similar fields. - Minimum 4 years of experience in business intelligence, analytics, or data engineering. - Strong business and product sense. - Advanced SQL and Python expertise. - Advanced experience with dashboarding/data visualization tools. - Ability to work self-guided, deliver on tight timelines, and prioritize tasks effectively. - Effective communication and relationship management skills. Preferred Qualifications: - Experience in experimental design, exploratory data analysis, data modeling, and statistical analysis. - Data engineering/pipeline creation experience. - Project management across large scopes in a fast-moving environment. - Experience working with Product and Engineering teams.,

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,

As a Specialist at Mastercard, your role will be within the Consumer Acquisition & Engagement team under the Services department in Gurgaon. With 24 years of experience in Analytics, Marketing Science, or Data Science, you will be responsible for leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Your deep-dive analysis on customer journeys, marketing funnels, and portfolio performance will be crucial in developing predictive models for segmentation, personalization, and targeting strategies. Your thought leadership in marketing measurement and performance optimization will drive business impact through clear storytelling and stakeholder engagement. To qualify for this position, you should hold an undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science, specifically focusing on marketing analytics. Proficiency in SQL, Python, R, or SAS is required, along with a strong foundation in A/B testing, test-control analysis, and statistical modeling. Effective communication skills, experience with data visualization platforms, and the ability to manage multiple tasks in a fast-paced environment are essential. Fluency in English and the local office language is necessary, along with eligibility to work in the country of application. Preferred qualifications include experience in digital marketing, lifecycle campaigns, or customer analytics. Exposure to GenAI tools and a Master's degree in Data Science, Statistics, Econometrics, Marketing, or related fields are advantageous. At Mastercard, all employees are expected to adhere to security policies, maintain the confidentiality and integrity of information, report any security violations, and complete mandatory security trainings. Your contribution to Mastercard's culture and growth will be instrumental in driving data-driven marketing products to unlock priceless possibilities globally.,

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. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology agnostic reference architectures across AI Security Architecture. - Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery. - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Ability to perform in-depth data analysis including but not limited to: Machine Learning, Classification, Optimization, Time Series analysis, Pattern Recognition. Candidate must have a thorough understanding and experience on the following in terms of AI and AI Security: - Threat models. - Security analysis. - Design and integration into AI and ML infra. - Some familiarity with an offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - You may also have a Bachelor's and/or post-graduate degree in computer science, information systems, engineering, or a related major. Preferred: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world 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 Data/AWS Engineer at Waters Global Research, you will be part of a dynamic team focused on researching and developing self-diagnosing, self-healing instruments to enhance the user experience of our customers. By leveraging cutting-edge technologies and innovative solutions, you will play a crucial role in advancing our analytical chemistry instruments that have a direct impact on various fields such as laboratory testing, drug discovery, and food safety. Your primary responsibility will be to develop data pipelines for specialty instrument data and Gen AI processes, train machine learning models for error diagnosis, and automate manual processes to optimize instrument procedures. You will work on projects aimed at interpreting raw data results, cleaning anomalous data, and deploying models in AWS to collect and analyze results effectively. Key Responsibilities: - Build data pipelines in AWS using services like S3, Lambda, IoT core, and EC2. - Create and maintain dashboards to monitor data health and performance. - Containerize models and deploy them in AWS for efficient data processing. - Develop Python data pipelines to handle data frames and matrices, ensuring smooth data ingestion, transformation, and storage. - Collaborate with Machine Learning engineers to evaluate data and models, and present findings to stakeholders. - Mentor and review code of team members to ensure best coding practices and adherence to standards. Qualifications: Required Qualifications: - Bachelor's degree in computer science or related field with 5-8 years of relevant work experience. - Proficiency in AWS services such as S3, EC2, Lambda, and IAM. - Experience with containerization and deployment of code in AWS. - Strong programming skills in Python for OOP and/or functional programming. - Familiarity with Git, BASH, and command prompt. - Ability to drive new capabilities, solutions, and data best practices from technical documentation. - Excellent communication skills to convey results effectively to non-data scientists. Desired Qualifications: - Experience with C#, C++, and .NET considered a plus. What We Offer: - Hybrid role with competitive compensation and great benefits. - Continuous professional development opportunities. - Inclusive environment that encourages contributions from all team members. - Reasonable adjustments to the interview process based on individual needs. Join Waters Corporation, a global leader in specialty measurement, and be part of a team that drives innovation in chromatography, mass spectrometry, and thermal analysis. With a focus on creating business advantages for various industries, including life sciences, materials, and food sciences, we aim to transform healthcare delivery, environmental management, food safety, and water quality. At Waters, we empower our employees to unlock their full potential, learn, grow, and make a tangible impact on human health and well-being. We value collaboration, problem-solving, and innovation to address the challenges of today and tomorrow. Join us to be part of a team that delivers benefits as one and provides insights for a better future.,

Frido is dedicated to enhancing daily living through innovative, ergonomic solutions that promote comfort and well-being. Our mission is to design the next generation of products to empower people to walk, sit, and sleep better. Each product we create is fueled by the same passion that drove us to innovate from day one: to give people the freedom to do more. Join us in our mission to transform everyday struggles into freedom and joy. Discover Frido, and experience the freedom to live life your way. You will be responsible for monitoring and analyzing the performance of live Meta (Facebook and Instagram) ads on a daily basis. Additionally, you will create detailed performance reports specifically focused on Meta ads, highlighting trends, areas for improvement, and recommendations for the content team. Setting up and managing automated dashboards to track Meta ad performance in real-time for data-driven decision-making will be a key aspect of your role. You will evaluate the effectiveness of creative assets (images, videos, copy) in Meta ads and provide actionable insights on how creatives are performing across different campaigns and audiences. Extracting insights from Meta ad campaigns and identifying learnings to improve future creative strategies and ad performance are essential tasks. Utilizing Meta Ads Manager extensively to track and analyze campaigns, audiences, and ad creative performance is also part of the role. To excel in this position, you should have proven experience in managing and analyzing Meta ad campaigns, with a deep understanding of Meta Ads Manager and its various tools. Expertise in Excel, including advanced functions like pivot tables and data visualization, is required to generate comprehensive reports. Strong analytical skills to interpret data, analyze creative performance, and provide clear, actionable insights are essential. Experience in setting up automated dashboards using tools like Google Data Studio or other reporting platforms is necessary to track Meta ads performance. The ability to thrive in a fast-paced environment, quickly adapt to data, and provide timely feedback to the creative and marketing teams is crucial. Excellent written and verbal communication skills are needed to report insights clearly and effectively to stakeholders. Being detail-oriented with a focus on accuracy in reporting and optimization recommendations is also important. If you're passionate about Meta advertising and data-driven optimization, please send your resume, cover letter, and relevant work samples to [Email Address]. In this role, you will continuously monitor and optimize Meta ad campaigns to ensure high engagement, low cost-per-click (CPC), and a strong return on ad spend (ROAS). You are expected to deliver clear, actionable reports on Meta ad campaigns with detailed insights on performance and creative effectiveness. Setting up and maintaining dashboards to track the performance of Meta ads accurately and in real-time is crucial. Providing insights on creative performance and suggesting improvements, delivering actionable recommendations to the team, and implementing creative and campaign optimizations quickly based on data insights are key responsibilities. Collaborating closely with the creative team to test new ad creatives and assess their impact on campaign performance, measuring and tracking key performance indicators for Meta ad campaigns, ensuring timely report generation, and staying up-to-date with Meta advertising trends and best practices to improve ad performance continuously are essential aspects of the role.,

The Data Analyst - Marketing position at Knya, India's leading online medical apparel brand, offers a unique opportunity for individuals with over 1 year of experience to play a pivotal role in analyzing and interpreting data related to the company's Direct-to-Consumer (D2C) marketing operations. As a Direct-to-Consumer Analytics Associate, you will collaborate with cross-functional teams to enhance the effectiveness of D2C strategies and contribute to data-driven decision-making processes. Key Responsibilities: - Analyze D2C data sets to identify trends, patterns, and insights related to customer behavior, product performance, and sales metrics. - Generate regular and ad-hoc reports to communicate key findings to relevant stakeholders. - Collaborate with marketing teams to optimize customer segmentation strategies. - Monitor and evaluate the performance of D2C channels, ad campaigns, and promotions. - Provide recommendations for optimizing marketing and sales efforts based on identified areas for improvement. - Develop and maintain forecasting models to predict future D2C sales, customer acquisition, and other relevant metrics. - Utilize predictive modeling techniques to anticipate customer behavior and market trends. - Support strategic decision-making processes with data-driven insights. - Ensure data accuracy and reliability by implementing data quality assurance processes. - Stay updated on industry best practices, tools, and technologies related to D2C analytics. Requirements: - Web Development experience for understanding and working with data layer implementations. - Proficiency in Python and SQL for data manipulation and analysis. - Strong SQL skills and experience working with large-scale datasets. - Proficiency in Looker Studio for creating dynamic, user-friendly dashboards. - Hands-on experience with AWS (e.g., Redshift, Lambda). - Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Business Analytics). - Experience in a Data Analyst role within the D2C marketing or E-commerce environment is a plus. - Familiarity with GCP and Google Tag Manager (GTM). - Understanding of Attribution Modeling and multi-touch attribution. - Strong understanding of D2C business models and key performance indicators. - Excellent communication and presentation skills. - Ability to work collaboratively in a cross-functional team environment. If you are passionate about interpreting data in the D2C space and possess the required qualifications and skills, we encourage you to send your application to hiring@knya.in and become a valuable member of our dynamic team. This is a full-time position based in Mumbai. The company offers Provident Fund benefits. Kindly provide your current CTC and location details in your application.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

As an international manufacturing leader in intralogistics, BEUMER Group is committed to providing innovative solutions in conveying, loading, palletising, packaging, sortation, and distribution technology. With a strong focus on customer satisfaction and continuous improvement, we are proud of the work our dedicated employees deliver every day. At BEUMER Group, tradition and innovation converge seamlessly to create a dynamic and collaborative work environment. We are currently seeking a Customer Onboarding and Support Specialist to join our team. In this role, you will be responsible for guiding new customers through the onboarding process, ensuring a smooth transition to Elaras offerings tailored to their unique needs. By providing technical and customer support via email, phone, and live chat, you will promptly address inquiries and resolve issues to ensure maximum satisfaction. Building strong customer relationships through personalized support and acting as an advocate for customer needs will be a key focus of this role. Additionally, the role will involve managing business dashboards to offer real-time insights into key performance metrics. Collaborating with internal teams to enhance data visualization, usability, and data integrity across all dashboards will be essential for success in this position. You will also work closely with product, sales, and engineering teams to relay customer feedback and contribute to continuous improvement initiatives that enhance the overall customer experience. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science or Information Technology, along with a minimum of 3 years of professional experience in customer support, IT, or digitalization, preferably within a SaaS or startup environment. Professional certifications in IT security (e.g., CISSP, CISM) or data management will be an added advantage. In return, we offer a wide range of exciting assignments that provide opportunities for professional and personal development. You will have the chance to work on interesting and challenging projects with Global MNCs, leveraging innovative technologies and gaining exposure to niche skills. Join our talented, passionate, and collaborative team of experts in the industry, where flexibility and autonomy are valued. If you believe you have the skills and experience to excel in this role and contribute to our team, we encourage you to apply. We look forward to hearing from you.,

We are seeking a Data Scientist with over 3 years of experience in Machine Learning, Deep Learning, and Large Language Models (LLMs) to join our team at SparkBrains Private Limited in Chandigarh. As a Data Scientist, you will be responsible for leveraging your analytical skills and expertise in data modeling to develop and deploy AI-driven solutions that provide value to our business and clients. Your key responsibilities will include gathering, cleaning, and preparing data for model training, designing and optimizing machine learning and deep learning models, integrating Large Language Models (LLMs) for NLP tasks, identifying relevant features for model accuracy, conducting rigorous model evaluation and optimization, creating data visualizations and insights for stakeholder communication, developing and deploying APIs, and collaborating with cross-functional teams while documenting processes effectively. To qualify for this role, you must hold a Bachelors or Masters degree in Computer Science, Data Science, AI, Machine Learning, or a related field, along with a minimum of 3 years of experience as a Data Scientist or AI Engineer. You should also possess proficiency in Python and relevant ML/AI libraries, hands-on experience with LLMs, a strong understanding of NLP, neural networks, and deep learning architectures, knowledge of data wrangling and visualization techniques, experience with APIs and cloud platforms, analytical and problem-solving skills, as well as excellent communication skills for effective collaboration. By joining our team, you will have the opportunity to work on cutting-edge AI/ML projects, be part of a collaborative work environment that emphasizes continuous learning, gain exposure to diverse industries and domains, and benefit from competitive salary and growth opportunities. This is a full-time, permanent position with a day shift schedule from Monday to Friday, requiring in-person work at our Chandigarh office.,

You will be responsible for leading the digital transformation and optimization of procurement processes within manufacturing settings. Your primary duties will include developing and implementing a digital strategy, identifying automation opportunities, and preparing data-driven insights for senior management. Additionally, you will collaborate with various stakeholders to enhance efficiency, compliance, and performance across procurement operations. Key responsibilities include: - Developing and implementing a digital strategy for manufacturing procurement. - Preparing and presenting data-driven insights and reports to senior management. - Assisting in the digitalization of procurement processes to enhance operational efficiency. - Collaborating with cross-functional teams to understand procurement needs and requirements. - Conducting detailed assessments of existing procurement processes and systems. - Leading the implementation of procurement software and tools. - Establishing KPIs and benchmarking standards to measure the effectiveness of procurement processes. - Ensuring procurement practices comply with organizational policies and legal regulations. - Staying updated on market trends and proposing innovative solutions to enhance procurement efficiencies. Requirements: - Education: Bachelor's degree in Supply Chain Management, Business Administration, Information Technology, or related field (Master's degree preferred). - Experience: Minimum of 5 years in procurement or supply chain management with a focus on digital transformation. - Proficiency in data analysis tools and procurement software. - Strong quantitative skills and understanding of procurement processes. - Soft Skills: Excellent communication skills and ability to work collaboratively. Join Novartis to be part of a community dedicated to making a difference in patients" lives through collaboration and innovation. Stay connected with our talent community for future career opportunities. Explore our handbook to learn about the benefits and rewards we offer to help you thrive personally and professionally.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

As an ERP Expert at Nine Jewellery, a prestigious luxury jewellery design and manufacturing company, your main responsibility will be to oversee and optimize the enterprise resource planning (ERP) systems. You will play a crucial role in bridging business processes with technology, ensuring seamless integration across manufacturing, supply chain, finance, and overall business operations. Your key responsibilities will include leading full-cycle ERP implementation, upgrades, and maintenance initiatives, specifically focusing on manufacturing, inventory control, procurement, and finance. You will be tasked with customizing ERP modules to align with jewellery manufacturing workflows and operational requirements, while also ensuring data integrity, security, and scalability. Additionally, you will analyze current manufacturing and supply chain processes, recommend workflow enhancements, and collaborate with cross-functional teams to streamline various operational aspects through ERP. Furthermore, you will serve as the primary point of contact for ERP-related matters for the manufacturing and operations teams, providing user support, troubleshooting, and tailored training. Integration with related systems such as finance, procurement, and inventory management platforms will be part of your role, along with designing and automating management reports, dashboards, and analytics to facilitate operational decision-making. You will also be responsible for vendor and compliance management, ensuring ERP workflows comply with regulatory requirements such as GST, hallmarking, and procurement standards. To qualify for this role, you should hold a Bachelors or Masters degree in IT, Computer Science, Business Administration, or a related field, along with at least 5 years of hands-on ERP experience. Exposure to jewellery or manufacturing-specific ERP solutions is a must, and you should have a strong understanding of manufacturing, supply chain, and finance processes within the jewellery or luxury goods industries. Proficiency in ERP configuration, SQL, database management, data visualization, and a proven track record of delivering ERP projects on time and within budget are essential. Excellent analytical, communication, and collaboration skills, along with a detail-oriented mindset focusing on continuous process improvement, will be highly valued. Desired attributes for this role include experience supporting jewellery manufacturing or luxury goods companies, the ability to translate business goals into technical ERP solutions, and relevant ERP platform certifications (SAP, Dynamics, Oracle). Knowledge of regulatory compliance related to GST, import/export, and quality standards in jewellery manufacturing is advantageous. In this position, you will report to the Operations Director and work closely with the Manufacturing, Supply Chain, Finance, and Senior Leadership teams. Joining Nine Jewellery offers you the opportunity to drive digital transformation in manufacturing and operations for a brand known for craftsmanship and innovation, play a pivotal role in operational excellence and system integration at a leading luxury jewellery manufacturer, and experience professional growth in a dynamic and high-performing environment. To apply for this role, please submit your CV and cover letter emphasizing your ERP expertise and relevant experience in jewellery manufacturing or related sectors to hr@ninejewellery.net. About Nine Jewellery: Nine Jewellery is an award-winning Jaipur-based company specializing in luxury diamond, polki, and colored gemstone jewellery, renowned for its fusion of tradition with innovation.,

As a Senior R Developer at MResult, you will play a crucial role in supporting the development, validation, and deployment of models and tools used in drug development and clinical research. Your responsibilities will include developing and maintaining R scripts, packages, and Shiny applications for data analysis and visualization. You will be involved in performing statistical analysis and data manipulation related to clinical trials and PK/PD data. Collaboration with pharmacometricians and clinical scientists will be key as you work together to develop PK models and support modeling workflows. Automating data cleaning, processing, and reporting tasks will be part of your daily activities. You will also integrate PK/PD datasets with clinical trial data and prepare analysis-ready datasets. Ensuring code validation and documentation as per regulatory compliance standards such as FDA and EMA will be essential. In addition to technical responsibilities, you will generate reports and graphical outputs using tools like R Markdown and participate in cross-functional project teams, providing input on statistical and modeling strategies. To succeed in this role, you should have a Bachelor's or Masters degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related field and a minimum of 5 years of experience in R programming. Experience with R package development, version control using Git/GitHub, and hands-on experience in Pharmacokinetics (PK) is required, preferably in a clinical or pharmaceutical setting. A strong understanding of PK/PD concepts, NONMEM outputs, and model diagnostics will be beneficial. Excellent problem-solving skills, the ability to communicate complex results to non-technical stakeholders, attention to detail, and a commitment to code quality and reproducibility are essential qualities for success in this role. At MResult, you will have the opportunity to work with some of the world's most recognized brands, access growth opportunities, and contribute to cutting-edge solutions while enjoying the flexibility of hybrid work models. As an equal-opportunity employer, MResult is committed to fostering an inclusive environment free of discrimination and harassment. Join us at MResult, where your ideas help shape the future.,