1377 Qlik Jobs - Page 20

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

JOBOVERVIEW: Part of Business Focused IT, candidate needs would be in charge of scaling up and managing an Enterprise-Wide Data Platform that would support the analytical needs of the complete Pharma business(extensible to other businesses as required). The platform should be flexible to support business operations of the future and provide story telling type of intuitive analytics. This position would be a part of the Analytics Center of Excellence. EXPERIENCE: BS/MS degree in computer science, mathematics, or equivalent relevant degree with 8+ years in Analytics, BI and Data Warehousing. Experience leading in a highly cross-functional environment, collaborating closely with IT, Finance & Engineering. Hands-on experience in architecting and building scalable data platform, ETL processes, distributed systems for data processing, data migration and quality. Strong familiarity and working knowledge with cloud platforms like AWS and Snowflake. Experience in building compelling data visualizations using business intelligence and data visualization tools like Tableau, BI and Qlik. Ability to develop & execute data strategy in collaboration with business leads. Excellent problem-solving, with ability to translate complex data into business recommendations for business stakeholders Excellent communication skills, with ability to explain complex and abstract technological concepts to business stakeholders. Proficiency in SQL for extraction, aggregating and processing large volume of structured/unstructured data. Experience in advanced query optimization techniques. Proficiency in data acquisition and data preparation by pulling data from various sources. Self-driven and ability to learn new, unfamiliar tools and deliver on ambiguous projects with incomplete data. Experience reviewing and providing feedback on architecture and code review. KEY ROLES/RESPONSIBILITIES: •Responsible for developing and maintaining the global data marketplace (data lake) •Manages the sourcing and acquisition of internal (including IT and OT) & external data sets •Ensure adherence of data to both enterprise business rules, and, especially, to legal and regulatory requirements •Define the data quality standards for cross functional data that is used in BI/analytics models/reports •Provide input into data integration standards and the enterprise data architecture •Responsible for modelling and designing the application data structure, storage and integration and leading the database analysis, design and build effort •Review the database deliverables throughout development thereby ensuring quality and traceability to requirements and adherence to all quality management plans and standards •Develop strategies for data acquisitions, dissemination and archival •Manage the data architecture within the big data solution such as Hadoop, Cloudera, etc.. •Responsible for modelling and designing the big data structure, storage, integration and leading the database analysis, design, visualization and build effort •Review the database deliverables throughout development thereby ensuring quality and traceability to requirements and adherence to all quality management plans and standards •Work with partners and vendors (in a multi-vendor environment) for various capabilities •Continuously review the analytics stack for improvements – performance improvements, reduce overall TCO through cost optimizations & better the predictive capabilities •Bring in thought leadership with regards to analytics to make Piramal Pharma an analytics driven business; and help in driving business KPIs •Preparation of Analytics Platform budgets for both CAPEX and OPEX for assigned initiatives and rolling out the initiatives within budget & projected timelines •Drive MDM Strategy and Implementation initiative •Responsible for overall delivery and customer satisfaction for Business services, interaction with business leads, project status management and reporting, implementation management, identifying further opportunities for automation within PPL •Ensure IT compliance in all project rollouts as per regulatory guidelines •Conduct Change Management and Impact Analysis for approved enhancements. •Uphold data integrity requirements following ALCOA+ guidelines. •Monitor SLAs and KPIs as agreed upon by the business, offering root-cause analysis and risk mitigation action plans when needed. •Drive awareness & learning across Piramal Pharma in Enterprise Data Platform

Designing, Developing, Maintaining Business Intelligence solutions, - dashboards, reports, & data models BI Tools Management Console Data warehousing principles and ETL processes Qlik Tableau, Power BI SAP Analytic Cloud Required Candidate profile QlikSense Certification in BI tool Python or R BI data modeling, visualization, & scripting techniques.

Qlik Tableau Power BI SAP Analytic Cloud Designing, Developing, Maintaining Business Intelligence solutions, - dashboards, reports, & data models BI Tools Management Console Data warehousing principles and ETL processes

Job Description: Oracle DataBase Administration – Technical Lead Requirements Experience should have 7 to 10 years. Minimum 3 years of working experience with Oracle database in production environments. Ability to work and communicate in an international multi-cultural environment. High degree of initiative, accuracy, efficiency and attention to detail. Professional approach when dealing with internal and external customers. Structured and concise written and verbal communication skills. Maintaining a positive attitude under sometimes challenging circumstances. Flexibility to adapt to change within a complex global organization. Ability to sometimes work outside office hours (incl. weekends) for planned. Interventions and participate in 24x7 on-call DBA weekly rotating team role. High aptitude for learning and high degree of self-motivation. Acquiring new competencies and accepting new technical and organizational challenges. Problem solving and analytical capabilities. Strong interest in supporting complex, business critical, highly available and secured database systems which are subjected to internal and external compliancy audits. Working knowledge of Oracle database (19c) coupled with production. Support experience in a multi-service, cross-regional distributed environment, high availability and data replication, performance troubleshooting, security. Working knowledge of Oracle Grid Infrastructure (19c), Data Guard, Real Application Clusters (RAC), Automatic Storage Management (ASM) and Recovery Manager (RMAN) in business-critical, real-time production environments. Oracle database incident troubleshooting and performance tuning skills including system, storage and network configuration, as well as tracing facilities. Good practical knowledge of SQL and PL/SQL languages including performance tuning. Basic knowledge of logical and physical relational data modelling (OLTP/DWH). Working knowledge of Linux (RHEL) (Unix desirable) operating systems in a multi-domain environment including virtualization and clustering products. Working knowledge of task automation (shell scripting). Working knowledge of Oracle monitoring and administration tools (Enterprise Manager Cloud Control). Desirable: Completed higher-education in information technology, engineering, or related field. Knowledge of migrating, operating and optimizing performance and cost of Oracle and PostgreSQL database workloads in public cloud environments (Amazon Web Services AWS, Google Cloud Platform GCP, Microsoft Azure Cloud) in IaaS-PaaS-SaaS operating models. Knowledge of other open-source database technologies (PostgreSQL, MySQL, NoSQL) on-premise and in the public cloud. Knowledge of Oracle database migration to other relational technologies (PostgreSQL). Knowledge of data replication products (Oracle Golden Gate, Quest Share Plex, Qlik Data Replication). Knowledge of data storage technologies (SAN/NAS), performance optimization, high-availability and data backup architectures. Knowledge of server hardware and system configuration, security, performance optimization, high availability and disaster-recovery architectures. Knowledge of TCP/IP networking technologies and their functional administration. Knowledge of Oracle database security (hardening, encryption, auditing, VPD, etc.). Knowledge of Oracle Enterprise User Security (EUS) and Oracle LDAP Directory (OUD/OID) solutions for user authentication and authorization. Knowledge of DevOps tooling for automation, orchestration, provisioning, configuration (Ansible, Terraform, Puppet, Python, GitLab). Knowledge of virtualization/containerization technologies (VMware, OpenShift, DLPAR). Knowledge of documentation management tools (Confluence, SharePoint). Knowledge of IT Service Management frameworks (ITIL) in areas of change, incident, problem and configuration management. Knowledge of regulatory compliancy frameworks (PCI-DSS, ISO, ISAE 3402, DORA, SOC 2). Knowledge of DevOps and Agile working methodologies. Indicative GCM-Level: DBA 10/11. Responsibilities: Provide technical expertise, project and (Non-)production support for the Oracle database eco-system. Drive architecture design on customer projects and act as a trusted advisor on Oracle database for delivering highly performing, secured and resilient database systems. Deploy, upgrade, maintain and optimize Oracle database and Enterprise Management software. Implement high-availability (HA) and disaster-recovery (DRP) architectures using Oracle Real Application Clusters (RAC), Data Guard, Golden Gate data replication. Implement backup and recovery strategies using Recovery Manager (RMAN), Data Pump, etc. Support Oracle database migrations and operations in a mixed on-premise, private cloud and public cloud operational model (IaaS – PaaS – SaaS). Facilitate and actively participate in all phases of the project life cycle: functional and non-functional requirements gathering and analysis, solution design and development, testing and implementation, post-production support and platform evolution. Support customers in benchmarking to identify bottlenecks, provide guidance on performance tuning and optimization of Oracle database, robustness and business continuity testing. Provision Oracle instances within application release delivery support incl. SQL optimization. Write accurate and concise technical documentation, participate in regulatory compliancy audits. Deliver management and automation tools used transversally within the company. Deliver internal trainings on Oracle database and accompanying technologies (e.g. Automatic Storage Management (ASM), Enterprise Manager (OEM), Internet Directory (OID), etc.). Align processes and reinforce collaboration between international database teams.

JOBOVERVIEW: Part of Business Focused IT, candidate needs would be in charge of scaling up and managing an Enterprise-Wide Data Platform that would support the analytical needs of the complete Pharma business(extensible to other businesses as required). The platform should be flexible to support business operations of the future and provide story telling type of intuitive analytics. This position would be a part of the Analytics Center of Excellence. Essential Skills & Experience: BS/MS degree in computer science, mathematics, or equivalent relevant degree with 8+ years in Analytics, BI and Data Warehousing. Experience leading in a highly cross-functional environment, collaborating closely with IT, Finance & Engineering. Hands-on experience in architecting and building scalable data platform, ETL processes, distributed systems for data processing, data migration and quality. Strong familiarity and working knowledge with cloud platforms like AWS and Snowflake. Experience in building compelling data visualizations using business intelligence and data visualization tools like Tableau, BI and Qlik. Ability to develop & execute data strategy in collaboration with business leads. Excellent problem-solving, with ability to translate complex data into business recommendations for business stakeholders Excellent communication skills, with ability to explain complex and abstract technological concepts to business stakeholders. Proficiency in SQL for extraction, aggregating and processing large volume of structured/unstructured data. Experience in advanced query optimization techniques. Proficiency in data acquisition and data preparation by pulling data from various sources. Self-driven and ability to learn new, unfamiliar tools and deliver on ambiguous projects with incomplete data. Experience reviewing and providing feedback on architecture and code review. KEY ROLES/RESPONSIBILITIES: Responsible for developing and maintaining the global data marketplace (data lake) Manages the sourcing and acquisition of internal (including IT and OT) & external data sets Ensure adherence of data to both enterprise business rules, and, especially, to legal and regulatory requirements Define the data quality standards for cross functional data that is used in BI/analytics models/reports Provide input into data integration standards and the enterprise data architecture Responsible for modelling and designing the application data structure, storage and integration and leading the database analysis, design and build effort Review the database deliverables throughout development thereby ensuring quality and traceability to requirements and adherence to all quality management plans and standards Develop strategies for data acquisitions, dissemination and archival Manage the data architecture within the big data solution such as Hadoop, Cloudera, etc.. Responsible for modelling and designing the big data structure, storage, integration and leading the database analysis, design, visualization and build effort Review the database deliverables throughout development thereby ensuring quality and traceability to requirements and adherence to all quality management plans and standards Work with partners and vendors (in a multi-vendor environment) for various capabilities Continuously review the analytics stack for improvements performance improvements, reduce overall TCO through cost optimizations & better the predictive capabilities Bring in thought leadership with regards to analytics to make Piramal Pharma an analytics driven business; and help in driving business KPIs Preparation of Analytics Platform budgets for both CAPEX and OPEX for assigned initiatives and rolling out the initiatives within budget & projected timelines Drive MDM Strategy and Implementation initiative Responsible for overall delivery and customer satisfaction for Business services, interaction with business leads, project status management and reporting, implementation management, identifying further opportunities for automation within PPL Ensure IT compliance in all project rollouts as per regulatory guidelines Conduct Change Management and Impact Analysis for approved enhancements. Uphold data integrity requirements following ALCOA+ guidelines. Monitor SLAs and KPIs as agreed upon by the business, offering root-cause analysis and risk mitigation action plans when needed. Drive awareness & learning across Piramal Pharma in Enterprise Data Platform

About Sigmoid: Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world's leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a 'Leader' in ISG's Specialty Analytics Services for Supply Chain (2024), a two-time 'India Future Unicorn' by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Director - Data Analytics: This role will be a leadership position in the data science group at Sigmoid. An ideal person will come from a services industry background with a good mix of experience in solving complex business intelligence and data analytics problems, team management, delivery management and customer handling. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. The role is part of the leadership team and includes accountability for a part of her/his team and customers. The person is expected to be someone who can contribute in developing the practice with relevant experience in the domain, nurturing the talent in the team and working with customers to grow accounts. Responsibilities Include Build trust with senior stakeholders through strategic insight and delivery credibility. Ability to translate ambiguous client business problems into BI solutions and ability to implement them. Oversight of multi-client BI and analytics programs with competing priorities and timelines, while collaborating with Data Engineering and other functions on a common goal. Ensure scalable, high-quality deliverables aligned with business impact. Help recruiting and onboarding team members; directly manage 15 - 20 team members. You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers. Experience and Qualifications 15+ years of overall experience with a minimum of 10+ years in data analytics execution. Strong organizational and multitasking skills with the ability to balance multiple priorities. Highly analytical with the ability to collate, analyze and present data and drive clear insights to lead decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, other departments and partners. Mastery of BI tools (Power BI, Tableau, Qlik), backend systems (SQL, ETL frameworks) and data modeling. Experience with cloud-native platforms (Snowflake, Databricks, Azure, AWS), data lakes. Expertise in managing compliance, access controls, and data quality frameworks is a plus. Experience working in CPG, Supply Chain, Manufacturing and Marketing domains are a plus. Strong problem-solving skills and ability to prioritize conflicting requirements. Excellent written and verbal communication skills and ability to succinctly summarize the key findings.

Qlik Developer About The Cigna Group Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

Qlik Developer About The Cigna Group Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

About the Role: As a Director in Software Engineering, you will provide comprehensive leadership to senior managers and high-level professionals. You will have primary responsibility for the performance and results within your area, ensuring that all software engineering activities align with business strategies. Your role is crucial for steering the direction of major projects and technological advancements that will drive the company forward. Responsibilities: Provide strategic leadership and direction for the product software engineering department, aligning it with overall business objectives in the context of a matrixed organization. Communicate effectively in a matrixed organization with senior management, peers, and subordinates to ensure alignment and collaboration. Develop and define departmental objectives, strategies, and goals to drive the success of software projects. Establish and maintain positive interpersonal relationships within the department and with other stakeholders. Stay updated with relevant knowledge, technologies, and best practices to drive innovation within the department. Ensure compliance with quality standards and best practices in software development. Make critical decisions and solve complex problems related to software development and team management. Develop and build high-performing teams of software engineers, fostering their growth and productivity. Organize, plan, and prioritize the department's work to ensure efficient use of resources and timely project delivery. Utilize data analysis and information to drive data-driven decisions and measure the success of software products. Monitor development processes, framework adoptions, and project surroundings, optimizing efficiency and adherence to standards. Provide coaching and mentorship to team members, fostering their professional growth and development. Provide guidance and direction to subordinates, ensuring they align with the department's vision. Monitor ongoing processes, materials, or surroundings, providing feedback for continuous improvement. Evaluate information and software products to ensure compliance with industry standards. Skills: DevOps: An ability to use systems and processes to coordinate between development and operations teams in order to improve and speed up software development processes. This includes automation, continuous delivery, agility, and rapid response to feedback. Product Software Engineering: The ability to design, develop, test, and deploy software products. It involves understanding user needs, defining functional specifications, designing system architecture, coding, debugging, and ensuring product quality. It also requires knowledge of various programming languages, tools and methodologies, and ability to work within diverse teams and manage projects. Cloud Computing: The ability to utilize and manage applications, data, and services on the internet rather than on a personal computer or local server. This skill involves understanding various cloud services (like AWS, Google Cloud, Azure), managing resources online, and setting up cloud-based platforms for business environment. Implementation and Delivery: This is a skill that pertains to the ability to translate plans and designs into action. It involves executing strategies effectively, overseeing the delivery of projects or services, and ensuring they are completed in a timely and efficient manner. It also necessitates the coordination of various tasks and management of resources to achieve the set objectives. Problem Solving: The ability to understand a complex situation or issue and devise a solution by defining the problem, identifying potential strategies, and ultimately choosing and implementing the most effective course of action. People management: The ability to lead, motivate, engage and communicate effectively with a team. This includes skills in delegation, conflict resolution, negotiation, and understanding team dynamics. It also involves building a strong team culture and managing individual performance. Agile: The ability to swiftly and effectively respond to changes, with an emphasis on continuous improvement and flexibility. In the context of project management, it denotes a methodology that promotes adaptive planning and encourages rapid and flexible responses to changes. APIs: The ability to design, develop, and manage Application Programming Interfaces, which constitute the set of protocols and tools used for building application software. This skill includes the capacity to create and maintain high-quality API documentation, implement API security practices, and understand API testing techniques. Additionally, having this ability means understanding how APIs enable interaction between different software systems, allowing them to communicate with each other. Analysis: The ability to examine complex situations or problems, break them down into smaller parts, and understand how these parts work together. Automation: The ability to design, implement, manage, and optimize automated systems or processes, often using various software tools and technologies. This skill includes understanding both the technical elements and the business implications of automated systems. Frameworks: The ability to understand, utilise, and create structured environments for software development. This skill also involves being able to leverage existing frameworks to streamline processes, ensuring better efficiency and code manageability in software development projects. Financial Budget management: The ability to plan, coordinate, control, and execute financial resources over a certain period, and make decisions on distribution of resources efficiently and effectively. This includes estimating revenues, costs and expenses, and ensuring they align with the set goals or targets. Application Security: The ability to protect applications from threats and attacks by identifying, fixing, and preventing security vulnerabilities. This skill involves the use of software methods and systems to protect applications against security threats. Architectural patterns: The ability to understand, analyze, and apply predefined design solutions to structural problems in architecture and software development. This skill involves applying proven patterns to resolve complex design challenges and create efficient and scalable structures, maintaining balance between functional requirements and aesthetic appeal. Skills: Expertise in data architecture, data modelling, and analytics technologies – Experience in PowerBI, Microsoft Fabric (or Data bricks), SQL Strong understanding of business intelligence tools, data visualization, and data engineering technologies. Experience in any of the tools/technologies - Cognos, Tableau, SAB Business Objects, SSIS/SSAS, Qlik, Python Proficiency in cloud technologies (preferably Azure) and distributed computing frameworks. Experience working in SaFe Agile environments and using development methodologies such as Scrum, Kanban. Exceptional leadership, communication, and collaboration skills, with the ability to work effectively with cross-functional teams. Strong familiarity and application of DevSecOps Familiarity with modern architectural patterns and standards Ability to foster strong and cohesive software engineering teams Competencies: Judgement & Decision Making Accountability Inclusive Collaboration Inspiration & Alignment Courage to Take Smart Risks Financial Acumen Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets. Responsibilities Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on. Develops and delivers data engineering documentation. Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. Recommends analytic reporting products/tools and supports the adoption of emerging technology. Performs data engineering maintenance and support. Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis. Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform. Codes using programming language used for statistical analysis and modeling such as Python/Spark Required Qualifications Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines. Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL. Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred. Proficient in using Azure Data Factory and other Azure features such as LogicApps. Preferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts. Strong understanding of cloud-based data lake systems and data warehousing solutions. Has used AGILE concepts for development, including KANBAN and Scrums Strong understanding of the data interconnections between organizations’ operational and business functions. Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. Strong knowledge of algorithms and data structures, as well as data filtering and data optimization. Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.) Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. Required Skills 3 years of experience with Databricks, Apache Spark, Python, and SQL Preferred Skills DeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets. Responsibilities Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on. Develops and delivers data engineering documentation. Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. Recommends analytic reporting products/tools and supports the adoption of emerging technology. Performs data engineering maintenance and support. Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis. Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform. Codes using programming language used for statistical analysis and modeling such as Python/Spark Required Qualifications Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines. Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL. Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred. Proficient in using Azure Data Factory and other Azure features such as LogicApps. Preferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts. Strong understanding of cloud-based data lake systems and data warehousing solutions. Has used AGILE concepts for development, including KANBAN and Scrums Strong understanding of the data interconnections between organizations’ operational and business functions. Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. Strong knowledge of algorithms and data structures, as well as data filtering and data optimization. Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.) Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. Required Skills 3 years of experience with Databricks, Apache Spark, Python, and SQL Preferred Skills DeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Vice President - Treasury IRRBB Interest Rate Risk in the Banking Book Business: Finance Principal responsibilities The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators. The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term ‘compliance’ embraces all relevant financial services laws, rules and codes with which the business has to comply. This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new business initiatives at the earliest opportunity. Also and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators. By adhering to the bank’s agreed processes/procedures – achieving a satisfactory Audit report. This role supports Global and Regional IRRBB team based in London. Dealing with wide range of key stakeholders, Markets Treasury, Global/site ALCM teams (Asset, Liability, and Capital Management) Requirements Strong analytical skills, including hands on experience in managing large volumes of data with a proven ability to interpret and comment on data issues Post graduate/Qualified CA/MBA/Engineers in Computers/IT with 10+ years of experience Reasonable experience in Risk/Financial Reporting is essential, preferably in IRRBB/liquidity/capital reporting/Treasury Strong technical knowledge expected of excel (must) and other technical tools such as Excel Macro/SQL/Python/MS Power BI/Power query/Tableau/Qlik Sense etc. Experience in automation of MIS reporting will be preferred Excellent interpersonal and communication skills, both written and oral Personal presence and able to command respect at a senior level Strong ability to identify and mitigate risks and apply appropriate controls Experience delivering to internal stakeholders such as internal auditors, business functions etc. Relevant banking/treasury product knowledge would be helpful Proven experience of supporting project delivery, utilising relevant tools and techniques to ensure consistent delivery You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Consultant – Qlikview! Responsibilities Design, develop, and deploy Qlik apps. Develop data models for Qlik apps. Load and transform data into Qlik apps. Create interactive visualizations. Develop and maintain dashboards. Troubleshoot Qlik app issues. Qualifications we seek in you! Minimum Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. experience in Qlikview Proficiency in Qlik Sense or QlikView. Experience with data modeling concepts. Experience with data loading tools. Experience with Qlik's scripting language. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 4, 2025, 5:59:34 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Qlik sense Administration QlikView Administration Preferred Skills: Technology->Business Intelligence - Visualization->Qlikview Administration

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: qlik Attunity qliksense Primary skills Technology Business Intelligence Visualization Qlikview Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Preferred Skills: Technology->Business Intelligence - Visualization->Qlikview,Technology->Business Intelligence - Data Virtualization->Qliksense

Job Description: Key Responsibilities: Own, manage and prioritize requirements in the product life cycle from definition to phase-out. Define platform requirements for native, on-premise, and cloud deployments. Provide clear direction, context, and priorities to development teams. Collaborate closely with key internal stakeholders and engage with external stakeholders. Focus Areas: Must - Healthcare Market. Product Knowhow And Customer Understanding. Must - Sound knowledge of Clinical Workflows and Healthcare IT, especially in the area of Radiology. Must - Healthcare Industry standards like DICOM and IHE. Must - Good understanding of software systems categorized as Medical Device. Must - Basic understanding of Legal regulations and standards applicable for medical devices, affecting safety aspects(i.e. FDA 21CFR820QSR, ISO 13485). Must - Platform Scalability & Modernization: Enable flexible architecture supporting hybrid cloud, containerization, and orchestration (e.g., Kubernetes). Must - Azure Expertise: Deep knowledge of Azure services (Data Lake Storage, SQL, Data Factory, Synapse) and cloud cost management. Must - Data Lake Architecture: Proficient in data ingestion, storage formats (Parquet, Delta Lake), and multi-zone design (raw, curated, analytics). Nice to have - SQL & Databases: Strong SQL skills with experience in database design, optimization, and complex queries. Nice to have - Qlik BI Tools: Skilled in Qlik Sense/QlikView for data modeling, transformation, and dashboard/report development. Nice to have - Exposure to agile methodology What are my tasks? Gather, prioritize, create & communicate stakeholder and market requirements & S/W specifications Guide and support development teams, resolving conflicts and answering questions Manage all the Agile methodology practices related to requirements engineering and product definition Provide input to project management and support rollout activities such as training, presentations, and workshops What do I need to know to qualify for this job? Qualification: A Bachelors / masters degree in engineering and / or MCA or equivalent. Work Experience: 12 to 15 years

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Analyst – Decision Sciences Principal responsibilities The job holder is required to ensure the provision of complete, true, and accurate analysis and report to functional management and senior executives under minimum supervision of his / her line manager, to facilitate effective decision making. The nature of work will require the role holder to take quick decisions in situations where complete information/data might not exist, and he/she would need to apply business knowledge & intuition to make best case recommendations. The role holder shall also be expected to guide and Analysts from a functional perspective and help them gain business understanding. In this role, the job holder will be under partial supervision and will undergo on the job training, however it is vital that the person in this role is able to learn new tasks very quickly. The role holder will be expected to execute on tasks/projects, once provided initial directional guidance. The role holder shall be expected to solve complex technical/business problems on his/her own without involving his/her line manager. The role holder will be expected to be responsible for thorough quality check (QC) of their own deliverables and follow the departmental QC procedures as laid down by their line managers. They will also be expected to create departmental QC guidelines & ensure their adherence by his/her functional reports. The role holder shall also be expected to be the primary SPOC for their assigned projects, for the business partner. In this role, they are supposed to set the correct expectations with respect to deliverables, TAT, follow ups etc. They are expected to actively manage the projects and bring to light potential roadblocks. Be able to execute/deliver against defined tasks. Develop new solutions/framework for the business problems. To be able to work independently on medium complexity tasks that would involve frequent changes to the process. Develop business domain knowledge and good working knowledge of tools [SAS, VBA, Qlik, R, Python, and any other BI tools & Data technologies.] Interfaces with business/functions to translate business requirements into executable instructions/technical. Requirements Minimum 2+ years relevant experience. Bachelor’s/master’s degree in any of the discipline like Computer Science, IT, Operations Research, Mathematics from a reputed university or MCA from a reputed university Experience on Vendor Decisioning or Analytics product(s) is preferred. E.g., TRIAD , Experian Power Curve, SMg3, SAS Decision Manager, SAS Intelligent Decisioning, Viya, RTDM, Pega etc. Knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SQL, VBA, Unix, Qlik sense, R, Python, and any other BI tools & Data technologies across any of the platform’s UNIX, mainframe, or Windows. Experience on Cloud, Digital Technology and Cognitive/AI platforms will be an added advantage. Investigative and consultancy mind with penchant for the latest technologies and continuous learn and adapt capability. Strong communication, stakeholder management, presentation, and interpersonal skills Strong problem-solving skills, adaptability to change and changing work priorities and ability to drive results. Ability to work under pressure and achieve agreed deadlines; work on multiple items concurrently where required. Ability to operate well across cultures and in multi-culturally diverse work environments. Knowledge of Code development, SDLC, Programming is a must and exposure to managing change is good to have. Exposure to Banking Analytics or equivalent experience in Business, Finance, or related field You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Analyst – Decision Sciences Principal Responsibilities The job holder is required to ensure the provision of complete, true, and accurate analysis and report to functional management and senior executives under minimum supervision of his / her line manager, to facilitate effective decision making. The nature of work will require the role holder to take quick decisions in situations where complete information/data might not exist, and he/she would need to apply business knowledge & intuition to make best case recommendations. The role holder shall also be expected to guide and Analysts from a functional perspective and help them gain business understanding. In this role, the job holder will be under partial supervision and will undergo on the job training, however it is vital that the person in this role is able to learn new tasks very quickly. The role holder will be expected to execute on tasks/projects, once provided initial directional guidance. The role holder shall be expected to solve complex technical/business problems on his/her own without involving his/her line manager. The role holder will be expected to be responsible for thorough quality check (QC) of their own deliverables and follow the departmental QC procedures as laid down by their line managers. They will also be expected to create departmental QC guidelines & ensure their adherence by his/her functional reports. The role holder shall also be expected to be the primary SPOC for their assigned projects, for the business partner. In this role, they are supposed to set the correct expectations with respect to deliverables, TAT, follow ups etc. They are expected to actively manage the projects and bring to light potential roadblocks. Be able to execute/deliver against defined tasks. Develop new solutions/framework for the business problems. To be able to work independently on medium complexity tasks that would involve frequent changes to the process. Develop business domain knowledge and good working knowledge of tools [SAS, VBA, Qlik, R, Python, and any other BI tools & Data technologies.] Interfaces with business/functions to translate business requirements into executable instructions/technical. Requirements Minimum 2+ years relevant experience. Bachelor’s/master’s degree in any of the discipline like Computer Science, IT, Operations Research, Mathematics from a reputed university or MCA from a reputed university Experience on Vendor Decisioning or Analytics product(s) is preferred. E.g., TRIAD , Experian Power Curve, SMg3, SAS Decision Manager, SAS Intelligent Decisioning, Viya, RTDM, Pega etc. Knowledge of programming tools, preferably with proficiency in any one or combination of tools such as SQL, VBA, Unix, Qlik sense, R, Python, and any other BI tools & Data technologies across any of the platform’s UNIX, mainframe, or Windows. Experience on Cloud, Digital Technology and Cognitive/AI platforms will be an added advantage. Investigative and consultancy mind with penchant for the latest technologies and continuous learn and adapt capability. Strong communication, stakeholder management, presentation, and interpersonal skills Strong problem-solving skills, adaptability to change and changing work priorities and ability to drive results. Ability to work under pressure and achieve agreed deadlines; work on multiple items concurrently where required. Ability to operate well across cultures and in multi-culturally diverse work environments. Knowledge of Code development, SDLC, Programming is a must and exposure to managing change is good to have. Exposure to Banking Analytics or equivalent experience in Business, Finance, or related field You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD***

Job Summary We are seeking an experienced Visualization Expert with 5+ years of hands-on expertise in developing digital solutions using data visualization tools like Tableau and Alteryx. The ideal candidate will have a strong eye for design, storytelling through data, and the technical skills to bring insights to life. The candidate must also possess a foundational understanding of databases, collaborate effectively with cross-functional teams, and have a working knowledge of other tools such as Qlik, Power BI, and Python. Familiarity with IQVIA datasets (e.g., TRx, NBRx, LAAD) in the life sciences or healthcare industry is highly desirable. Key Responsibilities Design, develop, and maintain interactive dashboards and reports using Tableau, Alteryx, and other BI tools. Translate business requirements into technical specifications and visual stories that support decision-making. Collaborate closely with stakeholders to gather requirements, present insights, and ensure data transparency and alignment with business goals. Work with relational databases to extract and manipulate data for analysis and reporting. Optimize and automate reporting processes to enhance business efficiency and reduce manual efforts. Use Qlik, Power BI, and Python as needed to deliver robust, scalable visualization solutions. Apply knowledge of IQVIA healthcare datasets (e.g., TRx, NBRx, LAAD) to design meaningful visualizations for life sciences applications. Continuously identify opportunities to improve digital and data processes through innovation and automation. Document processes, maintain code repositories, and ensure adherence to data governance and compliance standards. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems, or a related field. 5+ years of professional experience in data visualization and BI development. Proven expertise in Tableau and Alteryx; strong portfolio of past work preferred. Experience with other BI tools such as Qlik and Power BI. Basic understanding of SQL, relational databases, and data modeling. Familiarity with Python for data preparation, automation, or API integration. Experience working with IQVIA datasets (TRx, NBRx, LAAD) is a strong plus. Strong communication and stakeholder management skills. Detail-oriented with a focus on quality, usability, and performance. Ability to work in an agile, fast-paced environment with cross-functional teams. Preferred Qualifications Experience in the pharmaceutical, healthcare, or life sciences industry. Knowledge of cloud data platforms (e.g., AWS, Azure, Snowflake) is a plus. Certification in Tableau, Power BI, or other BI tools is an advantage. Experience with Agile/Scrum methodologies. (ref:hirist.tech)

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Vice President - Treasury IRRBB Interest Rate Risk in the Banking Book Business: Finance Principal Responsibilities The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators. The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term ‘compliance’ embraces all relevant financial services laws, rules and codes with which the business has to comply. This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new business initiatives at the earliest opportunity. Also and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators. By adhering to the bank’s agreed processes/procedures – achieving a satisfactory Audit report. This role supports Global and Regional IRRBB team based in London. Dealing with wide range of key stakeholders, Markets Treasury, Global/site ALCM teams (Asset, Liability, and Capital Management) Requirements Strong analytical skills, including hands on experience in managing large volumes of data with a proven ability to interpret and comment on data issues Post graduate/Qualified CA/MBA/Engineers in Computers/IT with 10+ years of experience Reasonable experience in Risk/Financial Reporting is essential, preferably in IRRBB/liquidity/capital reporting/Treasury Strong technical knowledge expected of excel (must) and other technical tools such as Excel Macro/SQL/Python/MS Power BI/Power query/Tableau/Qlik Sense etc. Experience in automation of MIS reporting will be preferred Excellent interpersonal and communication skills, both written and oral Personal presence and able to command respect at a senior level Strong ability to identify and mitigate risks and apply appropriate controls Experience delivering to internal stakeholders such as internal auditors, business functions etc. Relevant banking/treasury product knowledge would be helpful Proven experience of supporting project delivery, utilising relevant tools and techniques to ensure consistent delivery You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD***

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data Analytics & Insights Managed Service Experience: 1 - 3 years Key Skills: Data Engineering Educational Qualification: Bachelor's degree in computer science/IT or relevant field Work Location: Bangalore, India Job Description As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: Primary Skill: ETL/ELT, SQL, Informatica, Python Secondary Skill: Azure/AWS/GCP, Talend, DataStage, etc. Data Engineer Should have minimum 1 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, SSRS, AWS, Azure, ADF, GCP, Snowflake, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have Certifications in Cloud Technology is an added advantage. Experience in Visualization tools like Power BI, Tableau, Qlik, etc. Managed Services- Data, Analytics & Insights At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights Managed Service where we focus more so on the evolution of our clients’ Data, Analytics, Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. You are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt, take ownership and consistently deliver quality work that drives value for our clients and success as a team. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Specialist Tower: Data Analytics & Insights Managed Service Experience: 0.6 - 2.0 years Key Skills: BI Engineering Educational Qualification: Bachelor's degree in computer science/IT or relevant field Work Location: Bangalore, India Job Description As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Review your work and that of others for quality, accuracy, and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good Team player. Take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: Primary Skill: Tableau, Visualization, Excel Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advance Excel, Excel Macro BI Engineer: Should have minimum 1 year’s hand on experience building advanced Data Analytics Should have minimum 1 years’ hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets) Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modeling, Data scientists etc. Should have experience in building efficient Data analytics by using leading industry tools like Python, SQL, Spark, etc. Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools. Should have good knowledge of Data consumption patterns and BI tools like Tableau, Qlik sense, Power BI etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: Certifications in Tableau and other BI tools is an added advantage. Certification in any cloud platform