5 Qlikview Development Jobs nearby Delhi

Role Overview: As a Business Intelligence Consultant specializing in Qlik, your role will involve working closely with customers to understand their specifications and develop solutions that align with defined requirements. You will be responsible for strategizing and conceptualizing the solution design, which may include creating prototypes and wireframes before proceeding with the application or solution development. Key Responsibilities: - Creating load scripts and QVDs to support dashboards - Developing data models in Qlik Sense to facilitate dashboard creation - Leading efforts in data discovery, assessment, analysis, modeling, and mapping for Qlik dashboards - Generating visual reports, dashboards, and KPI scorecards using Qlik - Connecting to various data sources such as MS SQL SERVER, ORACLE, and SAP, importing data, and transforming it for Business Intelligence purposes - Translating data into insightful visuals and reports - Developing, publishing, and scheduling reports based on business requirements - Implementing application security layer models in Qlik Qualification Required: - Knowledge of data visualization and data analytics principles, with a focus on user experience and UI design - Hands-on experience in Qlik Sense development - Proficiency in writing SQL queries - Strong analytical, problem-solving, and communication skills Additional Details (if present): In terms of qualifications, we are looking for candidates with a degree in Computer Science Engineering or related disciplines, or MCA. Additionally, you should have 2-4 years of practical experience with Qlik, and Qlik Sense certification would be considered advantageous. Please note that the key skills for this role include Qlikview, Qliksense, QMC, qvd, and PL/SQL.,

You have a minimum of 5-6 years of relevant BI Development experience. Your experience should include strong PowerBI Development skills. In addition to PowerBI, you should also have experience with other BI Tools such as Tableau, Looker, or QlikView. It is important that you possess knowledge and understanding of Data warehousing and Data Modeling. Strong communication skills are a must as you will be working closely with US Counterparts.,

As an AI Incubator Data Scientist at Barclays, you will embark on a transformative journey to spearhead the evolution of the digital landscape and drive innovation and excellence. Your role will involve harnessing cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. You will have the opportunity to shape and lead projects within the AI incubator team, leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. The position emphasizes a design-led thinking approach with close collaboration with business stakeholders and a fail-fast mindset. You will work with extensive datasets spanning billions of rows, applying state-of-the-art AI techniques to unlock millions in business value. **Key Responsibilities:** - Build relationships with senior stakeholders across the bank to identify opportunities for adding value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Utilize AWS services for data transformation, feature engineering, AI product development, and deployment. - Communicate complex technical ideas to stakeholders through data visualization. - Collaborate with the ML Ops team in technology to streamline the path to production for successful projects. **Essential Skills and Qualifications:** - Bachelor's or master's degree in data science or equivalent commercial experience. - Experience working with senior stakeholders across the data science lifecycle, from idea inception to delivery in a production environment. - Ability to translate technical work into business terms and communicate value to business stakeholders. - Commercial experience in applying machine learning techniques for generating business value such as clustering, classification, regression, and NLP techniques. - Strong coding skills with a focus on Python and SQL, including a strong understanding of key coding principles like separation of concerns and generalization of code. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock. - Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools. - Knowledge of code management methodologies and the ability to implement them on projects. **Desirable Skills/Preferred Qualifications:** - Experience in front-end development frameworks such as Angular/React Flask/Streamlit. - Knowledge of MVC Architecture. - Experience with Agentic AI and working in a big data environment using PySpark. In this role, you will use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. Your insights will inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. **Accountabilities:** - Identify, collect, and extract data from various sources, including internal and external sources. - Clean, wrangle, and transform data to ensure quality and suitability for analysis. - Develop and maintain efficient data pipelines for automated data acquisition and processing. - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data. - Develop and implement predictive models to forecast future outcomes and identify risks and opportunities. - Collaborate with business stakeholders to add value from data through Data Science. In conclusion, as an AI Incubator Data Scientist at Barclays, you will play a pivotal role in driving innovation, leveraging cutting-edge technology, and extracting valuable insights to shape the digital landscape and deliver commercial value for the Corporate Bank.,

As a Senior Consultant/Consultant Analytics at EY, you will have the opportunity to work with clients in the Banking and Insurance sectors to develop Analytics-Based Decision Making Frameworks. Your key responsibilities will include: - Developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector - Managing projects effectively - Building and maintaining relationships with clients - Supporting business development and new analytics solution development activities To succeed in this role, you will need: - Domain expertise in either Banking or Insurance industries - Proficiency in statistical modeling techniques such as Logistic/Linear regression, GLM modeling, Time-series forecasting, and Scorecard development - Hands-on experience with statistical tools like SAS, Python, and R - Familiarity with data visualization tools like Tableau and Qlikview - Experience in data mining techniques such as Clustering and Segmentation - Knowledge of machine learning and Python would be advantageous To qualify for this position, you should have: - A B Tech degree from a top-tier engineering school or a Masters in Statistics/Economics from a leading university - At least 6 years of relevant experience, with a minimum of 1 year of managerial experience for Senior Consultant, 1 year for Associate Consultant, and 3 years for Consultant roles Additionally, we look for candidates who possess: - Strong communication, facilitation, and relationship-building skills - Adaptability and creativity - Comfort working with senior executives - Strong leadership abilities At EY, we value collaborative individuals who can provide services across multiple client departments while meeting commercial and legal requirements. We are committed to creating an inclusive work environment and offer flexible working arrangements to help you balance your personal and professional priorities. EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to building a better working world. We believe in providing our employees with the necessary training, opportunities, and creative freedom to excel. If you meet the criteria mentioned above and are passionate about making a difference, we encourage you to reach out to us at your earliest convenience. As a Senior Consultant/Consultant Analytics at EY, you will have the opportunity to work with clients in the Banking and Insurance sectors to develop Analytics-Based Decision Making Frameworks. Your key responsibilities will include: - Developing Analytics Based Decision Making Frameworks for clients in the Banking and Insurance sector - Managing projects effectively - Building and maintaining relationships with clients - Supporting business development and new analytics solution development activities To succeed in this role, you will need: - Domain expertise in either Banking or Insurance industries - Proficiency in statistical modeling techniques such as Logistic/Linear regression, GLM modeling, Time-series forecasting, and Scorecard development - Hands-on experience with statistical tools like SAS, Python, and R - Familiarity with data visualization tools like Tableau and Qlikview - Experience in data mining techniques such as Clustering and Segmentation - Knowledge of machine learning and Python would be advantageous To qualify for this position, you should have: - A B Tech degree from a top-tier engineering school or a Masters in Statistics/Economics from a leading university - At least 6 years of relevant experience, with a minimum of 1 year of managerial experience for Senior Consultant, 1 year for Associate Consultant, and 3 years for Consultant roles Additionally, we look for candidates who possess: - Strong communication, facilitation, and relationship-building skills - Adaptability and creativity - Comfort working with senior executives - Strong leadership abilities At EY, we value collaborative individuals who can provide services across multiple client departments while meeting commercial and legal requirements. We are committed to creating an inclusive work environment and offer flexible working arrangements to help you balance your personal and professional priorities. EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to building a better working world. We believe in providing our employees with the necessary training, opportunities, and creative freedom to excel. If you meet the criteria mentioned above and are passionate about making a difference, we encourage you to reach out to us at your earliest convenience.

Role Overview: The PEX Report Developer position requires you to collaborate with fund accounting professionals and technology teams to develop, maintain, and enhance customized reporting statements. Your primary responsibility as a PEX Report Developer will involve utilizing QlikView version 11 or higher to create and manage reporting solutions. Key Responsibilities: - Create new reporting and dashboard applications using technologies like QlikView and NPrinting to facilitate better decision-making within the business areas. - Collaborate with stakeholders to identify use cases, gather requirements, and translate them into system and functional specifications. - Install, configure, and maintain the QlikView environment, develop complex QlikView applications, and define data extraction processes from multiple sources. - Mentor and train other team members on best practices related to QlikView. - Contribute to designing support procedures, training IT support, and providing end-user support for QlikView-related issues. - Follow the SDLC methodology diligently. Qualifications Required: - Minimum of 2 years of experience with a focus on QlikView Dashboard Design & Development. - Strong understanding of SQL, relational databases, and Dimensional Modeling. - Proficiency in working with large datasets and experience in handling complex data models involving more than 10 tables. - Bachelor's degree in Computer Science. - Extensive expertise in all aspects of the QlikView lifecycle. - Well-versed in complex QlikView functions, such as set analysis, alternate states, and advanced scripting. - Experience with section access and implementing data level security. - Familiarity with QlikView distributed architecture, SDLC, and Agile software development concepts.,

As an experienced QlikView Administrator, you will be responsible for the setup, configuration, and maintenance of Qlik server clusters. Your role will involve monitoring server performance, tuning, and distributing Qlik QMC tasks for optimal performance. You should have a proactive approach to Qlik Administration, investigating server issues, identifying root causes, and providing clear recommendations for improved performance. Additionally, you will be expected to have basic scripting skills for automation and monitoring, and experience supporting QlikView applications, including user access provisioning. Key Responsibilities: - Configure and maintain Qlik server clusters - Monitor server performance and tuning for optimal performance - Distribute Qlik QMC tasks for optimal performance - Investigate server issues, find root causes, and make recommendations - Provide support for QlikView applications, including user access provisioning - Monitor help desk tickets for the QlikView platform - Collaborate effectively with business stakeholders and follow up on issues Qualifications Required: - 4-8 years of hands-on experience in QlikView administration - Experience with QlikView upgrades - Proficiency in using Windows Server monitoring tools - Basic scripting skills for automation and monitoring - Working knowledge of Qlik script - Proficiency working with Snowflake as the primary data warehouse for BI solutions In addition to QlikView administration, you should also have experience with Power BI development and/or administration. Your role will involve working with dimensional modeling for BI solutions, the Power BI service, work space usage, data flows, and semantic models. Key Responsibilities: - Develop and administer Power BI solutions - Understand dimensional modeling for BI solutions - Work with Power BI service, work space usage, data flows, and semantic models - Utilize power query and DAX for data analysis and reporting Qualifications Required: - 2+ years of hands-on experience with Power BI development and/or administration - Knowledge/experience with power query and DAX Your strong problem-solving and analytical skills will be crucial for success in this role.,

As a skilled and proactive Qlik Sense Developer with comprehensive expertise in end-to-end BI application development on the Qlik Sense Enterprise platform, your responsibilities will include the following: - Gather and understand business requirements and translate them into technical solutions using Qlik Sense. - Build Qlik Sense dashboards and data applications from scratch, including: - Data extraction from various sources (SQL, REST APIs, flat files, Excel, cloud platforms). - Data modelling and transformation using Qlik scripting (ETL within Qlik). - Building optimized data models with star schema or snowflake as appropriate. - Designing clean, interactive, and insightful dashboards with effective UX/UI practices. - Optimize data load performance and dashboard responsiveness. - Schedule and manage reload tasks on Qlik Sense QMC. - Collaborate with business analysts, domain experts, and stakeholders to deliver applications in tight timelines. - Troubleshoot issues related to data refresh, visual anomalies, or performance bottlenecks. - Implement Section Access for data security where required. - Maintain documentation for data models, load scripts, and user guides. - Stay updated with Qlik roadmap, extensions, and best practices. Required Skills & Experience: - 3+ years of hands-on experience in Qlik Sense Enterprise development. - Strong command over Qlik scripting and data transformation logic. - Solid experience in data source integration (SQL Server, Excel, REST APIs, etc.). - Deep understanding of data modelling techniques and performance tuning. - Expertise in creating KPI dashboards, summary reports, and self-service pages. - Familiarity with Qlik Management Console (QMC) task scheduling, user access, app publishing. - Ability to work independently and deliver high-quality apps under strict timelines. - Strong problem-solving skills and ability to manage changing priorities. Preferred Qualifications: - Experience or domain knowledge in Insurance / TPA / Claims Processing. - Knowledge of NPrinting, mashups, or Qlik extensions is a plus. - Familiarity with Agile methodology and version control (Git, SVN) is desirable. - Experience working with other BI tools (Power BI, Tableau) is an advantage. Soft Skills: - Strong communication and stakeholder management. - Analytical thinking with attention to detail. - Team player with a collaborative mindset. - Willingness to learn and adapt quickly. Education: - Bachelors degree in Computer Science, Information Systems. (Note: Work Location is Remote),

You will be responsible for leading and managing the end-to-end lifecycle of software applications at BCE Global Tech. This includes ensuring alignment with business needs and technology standards, overseeing the design, development, deployment, and maintenance of BI solutions, dashboards, and reports, collaborating with business stakeholders, managing a team of developers, BI analysts, and technical leads, driving innovation, and continuous improvement, ensuring high availability, scalability, and security of applications and BI platforms, implementing best practices for software development, testing, deployment, and documentation, working with cross-functional teams, managing vendor relationships, preparing and managing budgets, forecasts, and resource planning, and establishing and monitoring KPIs and SLAs. Qualifications and Skills required for this role include a Bachelors or Masters degree in Computer Science, Information Technology, or a related field, 10+ years of progressive experience in software application development and Business Intelligence, proven leadership experience managing technical teams, expertise in BI tools such as Power BI, Tableau, QlikView, or similar, experience with data warehousing, ETL processes, and data modeling, understanding of database technologies and cloud platforms, familiarity with Agile/Scrum methodologies and DevOps practices, problem-solving, analytical, and decision-making skills, strong communication and interpersonal skills, experience managing budgets, vendor contracts, and project portfolios. Preferred Qualifications include certifications in project management or BI platforms, and experience with Big Data technologies and advanced analytics. At BCE Global Tech, we offer competitive salaries and comprehensive health benefits, flexible work hours and remote work options, professional development and training opportunities, a supportive and inclusive work environment, and access to cutting-edge technology and tools.,

As a member of the Analytics and Insights Managed Services team, your role will involve leveraging your industry expertise, technology knowledge, and managed services experience to drive sustained outcomes and enhance business performance for our clients. You will play a key role in helping companies transform their analytics and insights approach, optimizing processes for efficiency and client satisfaction. Your deep understanding of IT services, operational excellence, and client-centric solutions will be crucial in delivering success. **Key Responsibilities:** - Serve as the focal point for high-level client interactions, maintaining strong relationships - Manage client escalations and ensure timely resolution of issues - Act as the face of the team for strategic client discussions, governance, and regular cadence - Lead end-to-end delivery of managed data analytics services to clients, ensuring projects meet business requirements, timelines, and quality standards - Deliver minor enhancements and bug fixes aligned with the client's service delivery model - Set up incident management and problem management processes for the engagement - Collaborate with cross-functional teams to deliver end-to-end solutions - Monitor, manage, and report service-level agreements (SLAs) and key performance indicators (KPIs) - Implement and oversee standardized processes, workflows, and best practices for efficient operations - Utilize tools and systems for service monitoring, reporting, and automation to improve service delivery - Drive innovation and automation in data integration, processing, analysis, and reporting workflows - Ensure data security, privacy, and compliance with relevant standards and regulations - Lead and mentor a team of service managers and technical professionals for high performance and continuous development - Foster a culture of collaboration, accountability, and excellence within the team - Collaborate with sales teams to identify opportunities for growth and expansion of services - Experience in solutioning of responses and operating models in responding to RFPs **Qualifications Required:** - Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or a related field (Master's degree preferred) - 15 years of experience with at least 3 years in a managerial or leadership role - Proven experience in managing data analytics services for external clients, preferably within a managed services or consulting environment - Technical skills including proficiency in data analytics tools (e.g., Power BI, Tableau, QlikView), Data Integration tools (ETL, Informatica, Talend, Snowflake, etc.), programming languages (e.g., Python, R, SAS, SQL), cloud platforms (e.g., AWS, Azure, GCP), big data technologies (e.g., Hadoop, Spark), traditional Datawarehousing tools (e.g., Teradata, Netezza), machine learning, AI, and automation in data analytics - Certification in data-related disciplines preferred - Demonstrated ability to lead teams, manage complex projects, and deliver results - Excellent verbal and written communication skills with the ability to present complex information to non-technical stakeholders - Strong financial acumen with experience in budget management - Problem-solving and decision-making skills with the ability to think strategically - Experience with practice development, Agile practices, cloud platforms, and infrastructure management This role provides you with the opportunity to make a significant impact by driving innovation, ensuring client satisfaction, and fostering team development within a dynamic and client-focused environment.,

As a Product Developer at Citi, you will be responsible for various activities related to the development of new products and features. Your role will involve collaborating with Credit Users and Technology partners to develop and document comprehensive business and technical requirements. You will ensure that templates and data models are scalable and maintainable, and manage project timelines to ensure on-time delivery. Additionally, you will be involved in creating a product vision aligned with business priorities, facilitating Agile ceremonies, and providing user support during testing and postproduction phases. Key Responsibilities: - Review and validate vendor deliverables for alignment with business objectives - Lead the creation of financial spreading templates for diverse business needs - Develop comprehensive business and technical requirements in partnership with stakeholders - Manage project timelines, milestones, and dependencies for on-time delivery - Facilitate Agile ceremonies and serve as product owner in a cross-functional Agile team - Track development progress, adjust priorities based on feedback, and provide user support - Conceptualize, plan, and prioritize design and delivery of products or features - Partner with stakeholders to fulfill delivery objectives and implement a variety of products and solutions - Assist in identifying solutions across data analytics, reporting, CRM, and trade processing - Focus on controls and governance to ensure compliance with applicable laws and regulations Qualifications: - 2-5 years of relevant experience - Intellectual curiosity, analytical thinking, and ability to operate in white space - Attention to detail, process/analytic mindset, and ability to build networks - Familiarity with product development methodologies and end-to-end project delivery - Comfortable with data investigations and various analytical tools - Ability to structure problems, develop solutions, and drive results - Strong communication, collaboration, and project management skills - Bachelor's/University degree or equivalent experience This job description provides an overview of the responsibilities and qualifications for the Product Developer role at Citi. If you are looking for a challenging yet rewarding career opportunity where you can contribute to the development of innovative products and solutions, this role might be the perfect fit for you.,

As a Quality Assurance professional with 5+ years of experience, you will have the opportunity to work with a dynamic team in testing ETL Processes, Data Warehouse, and BI applications. Your expertise in Python (Pandas) and ORACLE database technologies will be valuable in writing complex SQL and PL/SQL scripts for data validation. Key Responsibilities: - Review requirements and specifications to define test conditions. - Design test cases and scripts, record and report outcomes. - Provide estimates for testing activities and tasks. - Prepare Test Strategy, develop Test Plan, Detailed Test Cases, and write Test Scripts based on Business Requirements. - Perform backend (database) testing using complex SQL queries in Oracle. - Conduct regression and integration testing, analyze results, and log defects in JIRA. - Collaborate with project team members to resolve issues and defects. - Analyze and report test activities and results. - Document, maintain, track, and report test status using tools like ALM, JIRA, or qTest. Qualifications Required: - 5+ years of Quality Assurance experience. - 4+ years of ETL Processes/Data Warehouse Testing experience. - Minimum 1+ years of experience in Python (Pandas). - Hands-on experience in ORACLE database technologies, including writing complex SQL and PL/SQL scripts. - Experience in BI testing tools such as QlikView and Cognos. - Proficiency in defect tracking/Quality assurance tools like ALM and JIRA. - Competent technical skills and good time management abilities. - Strong verbal and written communication skills for effective collaboration. - Proficiency in MS Office applications. - Familiarity with SDLC and STLC stages. - Financial domain experience is a plus. You will have the opportunity to work both independently and within a team, contributing to the delivery of quality software in an Agile/SCRUM environment.,

As a Lead Analytics Consultant in the Data and Analytics Services team at Sun Life, you will play a crucial role in developing innovative visual analytics solutions to enhance decision-making processes. Your responsibilities will involve collaborating with data engineers, business data analysts, and operations teams. You will provide plans and estimates for reporting initiatives, set up reporting standards guidelines, document best practices for dashboard development, and guide developers to ensure quality outcomes. Key Responsibilities: - Work closely with cross-functional teams throughout the engagement life cycle - Provide plans and estimates for reporting initiatives - Set up reporting standards guidelines and document best practices for dashboard development - Guide developers to ensure quality outcomes - Maintain standards for analysis and reporting - Facilitate group meetings for solution design - Turn complex data into easy-to-understand visual insights aligned with business objectives Qualifications Required: - Minimum graduate degree in Mathematics, Computer Science, Engineering, or equivalent - 10+ years of total experience - Expertise in visual analytics and design principles - 8+ years of experience in tools like Tableau, Power BI, QlikView, or QuickSight - Proficiency in SQL programming - Experience in agile development environments - Ability to create complex calculations and implement advanced dashboard practices - Expertise in dashboard designing and development - Setting up best practices for BI reporting teams - Experience with PostgreSQL - End-to-end testing of dashboards - Strong visual design expertise - Ability to draw meaningful business insights from data - Excellent communication skills - Strong problem-solving aptitude In addition to the above qualifications, experience in BI CoE or platform teams, visualization tool certifications, exposure to AWS data sources and services, and familiarity with Agile or design-driven development methodologies will be considered as additional assets for this position. Your success in this role will depend on your ability to work independently, manage engagements directly with business partners, and deliver smart analytical apps for decision-making. A willingness to listen, challenge ideas, respect team members" opinions, and effectively deliver iterative solutions will be key qualities for thriving in this role.,

Role Overview: As an Associate Consultant-National-Assurance-ASU in Audit Standards and Methodologies at EY, you will be part of a global leader in assurance, tax, transaction, and advisory services. EY believes in providing you with the training, opportunities, and creative freedom to help you build a better working world. You will have the chance to work across industries for a well-rounded experience and contribute to inspiring confidence and trust in the business world. Key Responsibilities: - Demonstrate technical excellence in audit analytics - Conduct sector-specific analytics using advanced/custom analytics - Utilize visualization tools for data representation - Develop automated analytics models for statutory audit enablements - Extract data from client ERPs and analyze client data - Implement algorithms, systems, and processes in appropriate tools and technologies - Hands-on experience in financial reporting analytics and Machine Learning using R or Python - Knowledge of databases, ETL, SQL, visualization tools like Tableau, Spotfire, Qlikview, etc - Experience in ERP such as SAP and/or Oracle, data extraction, MS Office Suite, NLP, Web Scraping, Log Analytics, TensorFlow, AI, Beautiful Soup, Iron Python, and JavaScript Qualification Required: - BE/ B.Tech, or MSC in Computer Science/Statistics, or M.C.A - 0-1 years of experience Additional Details: EY is committed to providing a personalized Career Journey for its employees, investing in skills and learning, and fostering an inclusive work environment. As an employee, you will have the opportunity to work with market-leading entrepreneurs and visionaries, shaping the future with confidence. If you meet the criteria and possess agility, curiosity, mindfulness, and creativity, EY encourages you to apply and be part of their team in building a better working world.,

As a member of the Analytics and Insights Managed Services team, you will play a crucial role in leveraging industry expertise, technology, data management, and managed services experience to drive sustained outcomes for clients and enhance business performance. Your responsibilities will include empowering companies to revamp their analytics and insights approach, optimize processes for efficiency, and enhance client satisfaction. **Key Responsibilities:** - Serve as the focal point for high-level client interactions, maintaining strong relationships. - Manage client escalations and ensure timely resolution of issues. - Act as the face of the team for strategic client discussions, governance, and regular cadence with clients. - Lead end-to-end delivery of managed data analytics services to clients, ensuring projects align with business requirements, timelines, and quality standards. - Deliver minor enhancements and bug fixes in accordance with the client's service delivery model. - Set up incident management and problem management processes for the engagement. - Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to provide comprehensive solutions. - Monitor, manage, and report service-level agreements (SLAs) and key performance indicators (KPIs). - Demonstrate solid financial acumen with experience in budget management. - Implement and oversee standardized processes, workflows, and best practices to ensure operational efficiency. - Utilize tools and systems for service monitoring, reporting, and automation to enhance service delivery. - Drive innovation and automation in data integration, processing, analysis, and reporting workflows. - Stay informed about industry trends, emerging technologies, and regulatory requirements affecting managed services. - Ensure data security, privacy, and compliance with relevant standards and regulations. - Identify and mitigate operational risks that could impact service delivery proactively. - Lead and mentor a team of service managers and technical professionals to ensure high performance and continuous development. - Foster a culture of collaboration, accountability, and excellence within the team. - Ensure the team is well-trained on the latest industry best practices, tools, and methodologies. - Collaborate with sales teams to identify opportunities for service growth and expansion. - Experience in solutioning of responses and operating models, including estimation frameworks, content contribution, and solution architecture in response to RFPs. **Qualifications Required:** - Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or a related field (Master's degree preferred). - Minimum of 15 years of experience with at least 3 years in a managerial or leadership role. - Proven experience in managing data analytics services for external clients, preferably within a managed services or consulting environment. - Proficiency in data analytics tools such as Power BI, Tableau, QlikView, etc. - Experience with data integration tools like ETL, Informatica, Talend, Snowflake, etc. - Familiarity with programming languages such as Python, R, SAS, SQL. - Strong understanding of Data & Analytics services cloud platforms like AWS, Azure, GCP. - Familiarity with traditional Datawarehousing tools like Teradata, Netezza, etc. - Certification in data-related disciplines is preferred. - Demonstrated leadership abilities in leading teams, managing complex projects, and delivering results. - Excellent verbal and written communication skills to effectively present complex information to non-technical stakeholders.,

Role Overview: As a Consultant in the National Assurance team at EY, you will be part of the Audit Standards and Methodologies unit, contributing to inspiring confidence and trust in the business world. Your role will involve ensuring compliance with audit standards, providing clear perspectives to audit committees, and offering critical information to stakeholders. You will have the opportunity to work on various service offerings such as External Audit, Financial Accounting Advisory Services, IFRS & US GAAP conversion, and more. Key Responsibilities: - Develop automated analytics models for statutory audit enablements - Conduct sector-specific analytics using advanced/custom analytics tools - Visualize data and provide insights through visualization tools like Tableau, Spotfire, Qlikview, etc. - Extract data from Client ERPs and analyze client data using algorithms, systems, and processes - Utilize Machine Learning techniques (R or Python) with a strong statistical background - Possess knowledge of databases, ETL, SQL, NLP, Web Scraping, Log Analytics, TensorFlow, AI, Beautiful Soup, Iron Python, JavaScript, etc. - Demonstrate proficiency in MS Office Suite, including advanced Excel skills & Macros - Collaborate with multiple client departments, solve complex problems, and deliver practical solutions - Uphold commercial and legal requirements while providing services Qualification Required: - BE/ B.Tech/Any grad in computers - 2 - 6 years of relevant experience Additional Details: EY is dedicated to fostering an inclusive work environment that enables employees to excel in their careers while prioritizing their well-being. We value individuals who are agile, curious, mindful, and can sustain positive energy. If you possess the skills and attributes mentioned above, we encourage you to apply and be part of building a better working world at EY.,

As a Senior Reporting & Analytics Solutions Developer, your role involves utilizing your expertise in BI Tools such as Tableau and Qlikview to build Reporting & Analytics solutions. Your responsibilities will include: - Developing Reporting & Analytics solutions using BI Tools like Tableau and Qlikview - Writing and executing SQL statements, DDL, DML, DCL, and TCL database commands - Working with relational databases such as Oracle, MySQL, SQL Server, semi-structured data like JSON, and unstructured data like XLS, PDF, Flatfiles, XML, API, and webservices - Utilizing your programming skills in Python for hands-on development - Applying your knowledge of Data Warehousing concepts and Dimensional modeling like star/snowflake schema - Creating insightful Dashboards and Story Telling using Tableau - Utilizing multiple BI Tools such as Tableau, Qlikview, and Power BI Qualifications required for this role include: - At least 5 years of experience in building Reporting & Analytics solutions using BI Tools like Tableau and Qlikview - Proficiency in SQL statements, DDL, DML, DCL, and TCL database commands - Experience working with relational databases (Oracle, MySQL, SQL Server), semi-structured (JSON), and unstructured data (XLS, PDF), Flatfiles, XML, API, webservices - Hands-on Programming expertise using Python - Knowledge of Data Warehousing concepts and Dimensional modeling like star/snowflake schema - Experience in Data Modeling - Familiarity with multiple BI Tools like Tableau, Qlikview, Power BI If you are looking for a challenging opportunity as a Senior Reporting & Analytics Solutions Developer, this position based in Hyderabad, Telangana, India might be the perfect fit for you. As a Senior Reporting & Analytics Solutions Developer, your role involves utilizing your expertise in BI Tools such as Tableau and Qlikview to build Reporting & Analytics solutions. Your responsibilities will include: - Developing Reporting & Analytics solutions using BI Tools like Tableau and Qlikview - Writing and executing SQL statements, DDL, DML, DCL, and TCL database commands - Working with relational databases such as Oracle, MySQL, SQL Server, semi-structured data like JSON, and unstructured data like XLS, PDF, Flatfiles, XML, API, and webservices - Utilizing your programming skills in Python for hands-on development - Applying your knowledge of Data Warehousing concepts and Dimensional modeling like star/snowflake schema - Creating insightful Dashboards and Story Telling using Tableau - Utilizing multiple BI Tools such as Tableau, Qlikview, and Power BI Qualifications required for this role include: - At least 5 years of experience in building Reporting & Analytics solutions using BI Tools like Tableau and Qlikview - Proficiency in SQL statements, DDL, DML, DCL, and TCL database commands - Experience working with relational databases (Oracle, MySQL, SQL Server), semi-structured (JSON), and unstructured data (XLS, PDF), Flatfiles, XML, API, webservices - Hands-on Programming expertise using Python - Knowledge of Data Warehousing concepts and Dimensional modeling like star/snowflake schema - Experience in Data Modeling - Familiarity with multiple BI Tools like Tableau, Qlikview, Power BI If you are looking for a challenging opportunity as a Senior Reporting & Analytics Solutions Developer, this position based in Hyderabad, Telangana, India might be the perfect fit for you.

Role Overview: At PwC, you will be part of the managed services team focusing on various outsourced solutions to support clients across different functions. Your role involves helping organizations streamline operations, reduce costs, and enhance efficiency by managing key processes and functions on their behalf. You will utilize your skills in project management, technology, and process optimization to deliver high-quality services to clients. Specifically, in managed service management and strategy, you will concentrate on transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your responsibilities will include continuous improvement and optimization of managed services processes, tools, and services. Key Responsibilities: - Serve as the focal point for client interactions, maintaining strong relationships and managing client escalations - Lead end-to-end delivery of managed data analytics services, ensuring projects meet business requirements, timelines, and quality standards - Collaborate with cross-functional teams to deliver comprehensive solutions - Monitor, manage & report service-level agreements (SLAs) and key performance indicators (KPIs) - Implement standardized processes, workflows, and best practices for efficient operations - Drive innovation and automation in data integration, processing, analysis, and reporting workflows - Ensure data security, privacy, and compliance with relevant standards and regulations - Lead and mentor a team of service managers and technical professionals for high performance and continuous development - Collaborate with sales teams to identify growth opportunities and contribute to solution architecture in responding to RFPs Qualifications Required: - Minimum Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or related field (Masters degree preferred) - At least 15 years of experience with a minimum of 3 years in a managerial or leadership role - Proven experience in managing data analytics services for external clients, preferably in a managed services or consulting environment - Proficiency in data analytics tools (e.g., Power BI, Tableau, QlikView), Data Integration tools (ETL, Informatica, Talend, Snowflake etc.), and programming languages (e.g., Python, R, SAS, SQL) - Strong understanding of Data & Analytics services cloud platforms (e.g., AWS, Azure, GCP), big data technologies (e.g., Hadoop, Spark), and traditional Datawarehousing tools like Teradata, Netezza - Familiarity with machine learning, AI, automation in data analytics, and certification in data-related disciplines preferred - Demonstrated leadership abilities, excellent communication skills, and problem-solving capabilities - Experience in budget management, operational excellence, risk mitigation, and team leadership and development - Capacity management, practice development, agile practices, cloud platforms, and infrastructure management experience Note: The above details are specific to the job description provided and may vary depending on the actual requirements of the position.,

You are looking for a talented, committed, and energetic individual to join the Commercial Analytics team as an Associate Consultant. As an Associate Consultant, you will be an integral member of project teams, working closely with internal team members. Your responsibilities will include building tools, assisting senior staff on projects, and presenting methodology and outputs to internal management. Additionally, you will communicate effectively with all project team members and managers, multitask across multiple projects, and maintain a high level of quality and accuracy. **Key Responsibilities:** - Build forecasting, field force planning, and other analytics tools - Conduct & deliver data analytics to support key client decisions - Provide ongoing support to clients for existing engagements and tools - Work on creating best practices and modules to standardize Trinity offerings - Assist in creating and implementing quality control best practices - Provide on-site support to clients with senior staff - Collaborate with other functions at Trinity including strategic advisory, market research, statistics, and data solutions - Develop client-ready materials independently and present findings clearly - Communicate with clients as needed - Maintain communication with senior staff to meet internal and external timelines - Support strategic and operational initiatives as assigned **Qualification Required:** - Education: B.tech, BS, MS, or MBA in scientific, quantitative, business, or related fields - Work Experience: 0-2 years in field force planning, forecasting, analytics, or related area. Experience with life sciences data and forecasting preferred - Interest in Commercial Analytics space, including sales force sizing/structure, forecast model development, targeting optimization, and incentive compensation design. Proficiency in Excel is necessary. Additional technical skills such as business intelligence tools (e.g., Tableau, PowerBI, QlikView) and programming languages (VBA, SQL, Python) are advantageous - Other Skills: Superb internal and external communication skills, self-motivation, innovation, strong work ethic, problem-solving and analytical skills, attention to detail, team player, ability to multitask in a fast-paced environment, experience with MS Office Suite and familiarity with SQL processes, positive and collaborative attitude,

Role Overview: At PwC, you will be a part of the managed services team focusing on providing outsourced solutions and support to clients across various functions. Your role will involve streamlining operations, reducing costs, and enhancing efficiency by managing key processes and functions for clients. You will utilize your skills in project management, technology, and process optimization to deliver high-quality services. Key Responsibilities: - Lead end-to-end delivery of managed data analytics services to clients, ensuring projects meet business requirements, timelines, and quality standards - Set up Incident Management and Problem Management processes for the engagement - Collaborate with cross-functional teams to deliver end-to-end solutions - Monitor, manage, and report service-level agreements (SLAs) and key performance indicators (KPIs) - Maintain strong client relationships and handle client escalations effectively - Implement standardized processes, workflows, and best practices for efficient operations - Drive innovation and automation in data integration, processing, analysis, and reporting workflows - Lead and mentor a team of service managers and technical professionals for high performance and continuous development - Collaborate with sales teams to identify growth opportunities and expand services - Ensure data security, privacy, and compliance with relevant standards and regulations Qualifications Required: - Minimum Bachelor's degree in information technology, Data Science, Computer Science, Statistics, or a related field (master's degree preferred) - 20 years of experience with at least 5 years in a managerial or leadership role - Proven experience in managing large data analytics services for clients, preferably in a managed services delivery or consulting environment - Technical proficiency in various data & analytics tools and technologies such as Data Lake, Data Mesh, AWS Glue, EMR, ADF, Redshift, Synapse, BigQuery, Hadoop, Spark, Power BI, Tableau, QlikView, Python, R, SAS, SQL, Teradata, Netezza, snowflake, Databricks, ETL tools - Certification in data-related disciplines is preferred - Strong leadership, communication, problem-solving, and decision-making skills Additional Company Details: The Analytics and Insights Managed Services team at PwC brings a unique combination of industry expertise, technology, data management, and managed services experience to drive sustained outcomes for clients and enhance business performance. You will be empowered to transform analytics and insights approaches, optimize processes, and ensure client satisfaction through operational excellence and client-centric solutions.,

Role Overview: You will be responsible for selecting features, building and optimizing classifiers using machine learning techniques, data mining using state-of-the-art methods, enhancing data collection procedures, processing, cleansing, and verifying the integrity of data for analysis, conducting ad-hoc analysis, creating automated anomaly detection systems, and presenting results clearly. Additionally, you will participate in project meetings, manage multiple development designs, provide customer training, and contribute to internal projects. You must have hands-on experience with data models and data warehousing technologies, be organized, analytical, and proficient at handling multiple priorities. Key Responsibilities: - Select features, build, and optimize classifiers using machine learning techniques - Data mining using state-of-the-art methods - Enhance data collection procedures and verify data integrity - Conduct ad-hoc analysis and present results clearly - Create automated anomaly detection systems - Participate in and lead project meetings - Manage multiple development designs and projects - Provide customer training - Contribute to internal projects - Have hands-on experience with data models and data warehousing technologies Qualifications Required: - Excellent understanding of machine learning techniques and algorithms - Experience with common data science toolkits such as R, Weka, NumPy, MatLab - Excellent communication skills - Proficiency in data visualization tools such as D3.js, GGplot - Proficiency in query languages such as SQL, Hive, Pig - Experience with NoSQL databases such as MongoDB, Cassandra, HBase - Good applied statistics skills - Good scripting and programming skills - Bachelor/Master in Statistics/Economics or MBA desirable - BE/BTech/MTech with relevant experience can also be considered - 2 to 4 years of experience with at least 2-3 project lifecycle experience in data science Additional Company Details (if any): N/A,