36 Qlikview Development Jobs nearby Mysore

You will be responsible for supporting the development and implementation of Process Universe in Treasury, managing taxonomy documentation, and coordinating process excellence methodologies. Additionally, you will design and develop streamlined production of Treasury non-financial risk information reports, consult with stakeholders to define reporting requirements, and enhance report production through tools such as Tableau. - Develop enhanced ways of report production and using non-financial risk data for other purposes - Co-ordinate and prepare monthly risk information reports (RIR) - Support the Conduct forum, Treasury Non-Financial Risk Committee, and GCFO pack production - Consult with stakeholders to define standard reporting requirements and implement changes - Enhance and automate report and pack production through tools like Tableau - Present dashboards and ad hoc analyses to key stakeholders - Enable self-service reporting through development and training of dashboards - Finance Professionals (Chartered Accountant) or Under-Graduation in Engineering + MBA (Finance) from a reputed institution - Process excellence qualifications such as Six Sigma, Lean, or Agile - SAS / Python knowledge - Visualization tools like Tableau / MicroStrategy - Dataiku / Databricks / QlikView / pySpark experience - Minimum of 3 years of experience in service delivery or managing non-financial risks Standard Chartered is an international bank committed to making a positive impact for clients, communities, and employees. They value diversity, inclusion, and continuous improvement to drive commerce and prosperity. If you are looking for a purpose-driven career with a bank that values uniqueness and advocates inclusion, Standard Chartered is the place for you. They offer a range of benefits including retirement savings, medical and life insurance, flexible working options, proactive wellbeing support, continuous learning opportunities, and an inclusive work culture.,

Role Overview: As a Data Visualization Engineer at Takeda's Innovation Capability Center in Bengaluru, you will play a crucial role in transforming intricate data into visually engaging representations to facilitate data-driven decision-making. Your primary responsibility will involve collaborating with various teams to develop interactive and intuitive visualizations that effectively communicate key metrics and trends. Key Responsibilities: - Work closely with cross-functional teams to comprehend data requirements and business objectives, translating them into impactful visualizations. - Develop interactive and visually appealing data visualizations, dashboards, and reports utilizing tools like Power BI and programming languages such as Python or R. - Collaborate with data scientists and analysts to identify key metrics and trends, designing visualizations that effectively communicate findings. - Conduct thorough data analysis to ensure accuracy, completeness, and integrity of visualized data. - Explore and recommend new tools, technologies, and best practices for data visualization, staying updated with industry trends. - Optimize visualizations for performance, interactivity, and responsiveness to ensure a seamless user experience. - Conduct user testing, gather feedback, and enhance the usability and effectiveness of data visualizations. - Present findings and insights to stakeholders in a clear and concise manner, making complex data accessible to both technical and non-technical audiences. - Collaborate with the development team to integrate visualizations into existing systems or applications. - Document design choices, methodologies, and best practices to ensure reproducibility and scalability of visualizations. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, Information Design, or a related field. - 3+ years of proven experience as a Data Visualization Engineer, Data Analyst, or a similar role. - Proficiency in data visualization tools such as Power BI (required) or QlikView (nice to have) and familiarity with programming languages like Python or R. - Experience in writing complex DAX functions in Power BI and Power Pivot. - Familiarity with data querying languages (SQL) and data warehousing concepts. - Advanced knowledge of Excel, including pivot tables, charting, macros, and calculations. - Solid understanding of data visualization principles, best practices, and design aesthetics. - Strong analytical and problem-solving skills with the ability to interpret complex data into actionable insights. - Good communication and presentation skills to convey technical information to both technical and non-technical stakeholders. - Detail-oriented with a strong focus on data accuracy and integrity.,

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 Senior Qlik Sense Developer in the Growth, Pricing & Commercial Data team, you will play a crucial role in designing, developing, and maintaining high-performance Qlik Sense applications to provide actionable insights to key stakeholders. Your responsibilities will include: - Designing and refining Qlik Sense dashboards, reports, and applications to meet the needs of business users. - Collaborating with various data sources, creating scalable data models, and implementing efficient ETL processes. - Partnering with pricing, commercial, and finance teams to understand requirements and deliver insightful data solutions. - Enhancing data models and visualizations for scalability and speed in handling large datasets. - Ensuring data accuracy, integrity, and security while following governance best practices. - Developing Qlik scripting (including SQL or Python) to automate data processing. - Mentoring junior developers and maintaining documentation for Qlik Sense applications. Key Requirements: - Minimum of 7 years of hands-on experience in Qlik Sense development, including dashboard creation, scripting, and data modeling. - Strong expertise in SQL, including experience with complex queries, stored procedures, and relational database management. - Deep understanding of data visualization best practices and business intelligence expertise. - Familiarity with ETL pipelines, data warehousing, and cloud-based data solutions. - Comfort working in an Agile environment with iterative development cycles. - Experience with Qlik NPrinting, QlikView, Tableau, Power BI, or other BI tools is a plus. - Strong analytical and troubleshooting skills. Nice to Have: - Experience with Google Cloud Platform (GCP), BigQuery, Snowflake, or other cloud-based data platforms. - Proficiency in Python, R, or other scripting languages for automation. - Knowledge of data governance, security, and compliance frameworks.,

As a Business Analytics Analyst at Citi, you will be a part of the Operations Analytics team that focuses on using data analysis to enhance efficiency, reduce costs, and improve customer experience. Your role involves gathering operational data, identifying data patterns and trends, providing insights for business decision-making, and recommending actions for future developments. You will also be involved in exploratory data analysis, translating data into consumer insights, and collaborating with internal and external partners to build and implement decision strategies. Key Responsibilities: - Gather operational data from various cross-functional stakeholders for examining past business performance - Identify data patterns and trends to enhance business decision-making capabilities - Recommend actions for future developments and strategic business opportunities - Translate data into consumer insights to drive targeting and segmentation strategies - Continuously improve processes and strategies by exploring new data sources and tools - Work closely with business partners to build, implement, track, and improve decision strategies - Assess risk when making business decisions to safeguard Citigroup's reputation and assets Qualifications Required: - Expertise in statistical analysis, data mining, process mapping, and process re-engineering - Proficiency in using data visualization tools such as Tableau and QlikView - Experience with automation tools like SAS and PySpark, and programming languages like Python and SQL - Strong understanding of business operations, financial metrics, and ability to communicate data insights effectively - Ability to analyze customer feedback, identify pain points, and develop solutions to improve customer experience - Knowledge of financial services operations, regulatory requirements, and industry best practices As a successful candidate, you will ideally have a Bachelor's/University degree or equivalent experience and 4-7 years of experience (4 years for Bachelor's or 2-5 years for Masters). Working at Citi offers you the opportunity to grow your career, contribute to your community, and make a real impact. Join a global family of dedicated individuals by applying for this role at Citi today.,

As an Expert Data Visualization Analyst (Tableau Specialist) at Netradyne in San Diego, CA, you will play a crucial role in transforming complex data into visually compelling insights that drive business growth. Your primary responsibility will be to lead the development, maintenance, and enhancement of Tableau dashboards and visualizations to provide actionable insights for the Product Management team and other business stakeholders. You will collaborate with cross-functional teams to gather business requirements, develop data models, identify trends, and ensure data accuracy. Key Responsibilities: - Lead the development, maintenance, and enhancement of Tableau dashboards and visualizations to provide actionable insights - Collaborate with cross-functional teams to gather business requirements and translate them into effective data visualization solutions - Develop and oversee data models and data structures to support data visualization needs - Identify trends, patterns, and anomalies in data to provide recommendations for data-driven decision-making - Ensure data accuracy and integrity by validating data sources and conducting regular data audits - Train and support end-users in the effective use of Tableau - Mentor and guide data visualization analysts, sharing best practices - Stay up to date with industry best practices and emerging trends in data visualization and Tableau Qualifications: - Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field - Minimum 10 years of experience in data visualization and analysis using Tableau - Advanced Tableau certification is highly desirable - Working knowledge of SQL and experience working with datasets - Basic understanding of Snowflake data warehouse - Strong analytical skills with attention to detail and accuracy - Excellent communication and presentation skills - Experience with other data visualization tools such as Power BI, QlikView, or D3.js is a plus - Familiarity with programming languages such as Python or R is a plus - Experience with Mixpanel is a plus What We Offer: - Competitive salary and benefits package - Collaborative work environment with growth opportunities - Exciting projects with diverse clients and industries - Supportive team culture valuing diversity, creativity, and continuous learning To apply for this position, please submit your resume, portfolio, and a brief description of your experience with Tableau and data visualization, along with details of your advanced Tableau certification. Netradyne looks forward to reviewing your application and discussing your potential contribution to the success of the Product Management team in San Diego, CA.,

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.,

As an Infoscion, your primary role will involve ensuring effective Design, Development, Validation, and Support activities to guarantee client satisfaction in the technology domain. This includes gathering requirements and specifications, understanding client needs in detail, and translating them into system requirements. You will also play a crucial role in estimating work requirements to provide accurate information for project estimations to Technology Leads and Project Managers. Key Responsibilities: - Gather requirements and specifications to understand client needs and translate them into system requirements - Assist in the estimation of work requirements for project estimations - Contribute to building efficient programs and systems to support clients in their digital transformation journey Technical Requirements: - Qlik Attunity - QlikView Attunity - Qlik sense Attunity - Qlik Replicate Preferred Skills: - Business Intelligence - Visualization with Qlikview - Business Intelligence - Data Virtualization with Qliksense,

Role Overview: As a Senior Data Scientist at CRM Asia, you will be a key member of the team responsible for leading complex data projects and effectively communicating insights to clients. Your technical expertise and client presentation skills will be crucial in developing and implementing data-driven solutions to meet the business needs of our clients. Key Responsibilities: - Lead the development and implementation of data-driven solutions for clients - Collaborate with clients to understand their business needs and develop tailored solutions - Develop statistical models and algorithms to analyze complex data sets - Analyze and interpret data to identify patterns and trends - Communicate insights and findings to clients in a clear and concise manner - Mentor and train junior data scientists on technical and client presentation skills - Stay updated with the latest industry trends and technologies in data science and analytics Qualifications: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field - 3+ years of experience in data science or analytics - Strong programming skills in Python and SQL - Experience with data visualization tools such as Tableau, PowerBI, or QlikView would be advantageous - Experience with SQL and relational databases - Strong client presentation and communication skills - Ability to lead a team and collaborate with other departments - Strong problem-solving skills and attention to detail If you meet these qualifications and are looking for a challenging and rewarding career in data science, we encourage you to apply for the Senior Data Scientist position at CRM Asia. Competitive compensation, benefits packages, career advancement opportunities, and professional development support are offered to successful candidates.,

As a BI Tech Lead specializing in Production Support, you will have a minimum of 7-8 years of experience in Business Intelligence, with a specific focus on Power BI for at least 6 years. Your expertise will be crucial in handling support activities post the production phase. Your immediate joining requirement indicates the urgent need for your skills in Power BI, Qlik, SQL, Azure DevOps, and SNOW. Your understanding of Azure DevOps and SQL will be essential, while even a basic grasp of Qlik will be beneficial. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You must possess advanced expertise in Power BI for both development and administration tasks. Strong data validation skills across the BI landscape, expert knowledge of Qlik (both QlikView and QlikSense), and a solid grasp of data operations and performance tuning are essential. Preferably, you should also have knowledge of Azure DevOps. In terms of communication and problem-solving skills, you are expected to excel in both areas. With a minimum of 8 years of hands-on experience in BI visualization tools, including designing and delivering complex dashboards, you should possess strong debugging skills. Additionally, having administrative knowledge of tools is strongly preferred. Your advanced visualization skills should enable you to design custom reports effectively. Your language skills must include fluency in English. Proficiency in Power BI, including advanced skills in report development and administration, as well as expertise in Power BI Report Builder for paginated reports, is required. Familiarity with Qlik tools (QlikView, QlikSense, and N-Printing), ServiceNow for ticket management and service operations workflows, and Azure DevOps is preferred. Proficiency in Microsoft Office, especially Advanced Excel, and basic knowledge of databases for writing and optimizing SQL analytical queries are essential. Experience with any cloud platforms like Azure or AWS will be beneficial. The role will involve tasks such as data extraction in SQL, managing reports in Power BI service, writing DAX queries, data wrangling in Power Query, and troubleshooting data reports. Your responsibilities will also include working on Azure, Power BI service, and on-premises Gateway services. Your ability to handle these tasks efficiently will be crucial in ensuring the smooth operation of the BI landscape and supporting the production phase effectively.,

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.,

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.,

You are currently seeking a talented and motivated Alteryx Developer with 4 to 6 years of experience to join the team. Your responsibilities will include designing, developing, and maintaining Alteryx workflows to support data analytics and business intelligence initiatives. Key Responsibilities: - Strong proficiency in Alteryx Designer with hands-on experience in developing complex workflows. - Solid understanding of ETL processes and data warehousing concepts. - Proficiency in SQL for querying databases and transforming data. - Excellent analytical and problem-solving skills. - Ability to understand and resolve complex data issues. - Strong verbal and written communication skills. - Ability to collaborate effectively with cross-functional teams. - 4 to 6 years of relevant experience in data analytics or business intelligence, specifically in Alteryx development. Qualifications Required: - Alteryx certification (Core, Advanced) is highly desirable. - Experience with data visualization tools such as Tableau, Power BI, or QlikView. - Knowledge of Python for data analysis is an advantage. - Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. - Bachelors degree in computer science, Information Systems, Data Science, or a related field.,

Role Overview: Join a global team at JPMorgan Chase where your expertise in data management will help shape the future of Firmwide Chief Data Office. You will be at the center of keeping JPMorgan Chase strong, resilient, and forward-looking. You will be part of a multi-year journey to achieve best-in-class data governance across the firm. As a Vice President in Firmwide Chief Data Office, you will work with global teams across a wide variety of stakeholders to define and implement processes and capabilities for data quality. The focus of this role will revolve around strengthening the firm's data quality framework by defining standards, procedures, playbooks, and assisting in building data quality tooling for measuring and reporting the data quality risk of the bank. You will analyze goals and requirements, assess options and risks, devise effective solutions, and oversee execution. We are looking for a motivated leader to join the team to realize personal success and foster team achievements. Key Responsibilities: - Coordinate across line of business CDO functions, Business, and Technology domains to define the approach and requirements for business and technical data quality controls. - Steer tooling development and capabilities to govern data quality controls and drive adoption within the CDO community. - Define scope and minimum requirements for business and technical data quality controls, and standard metrics/quality expectations for data elements that support critical business processes. - Promote a culture of data quality and accountability through stakeholder engagement, training, and consulting. - Drive and effectively collaborate in working groups and forums to represent Firmwide CDO perspective and requirements and influence convergence at the Firmwide level. Qualifications Required: - Bachelors degree or equivalent experience in Finance, Economics, Information Systems, or other related disciplines. - 8 plus years of work experience across domains related to data management and financial services. - Effective in navigating the broader picture by applying strategic and creative thinking, while also demonstrating an in-depth view through strong analytical skills, meticulous attention to detail, and the ability to thoroughly investigate complex issues. - Strong interpersonal skills; ability to develop effective, credible relationships with colleagues as well as business and technology partners. - Excellent written and verbal communication skills and storytelling; ability to synthesize the right message to the level of the audience. - Strong knowledge of data quality-related policies and standards. - Familiarity with data management platforms that provide Data Quality controls (e.g., Informatica, Ataccama, etc.). (Note: Preferred qualifications, skills, and capabilities were not mentioned in the provided Job Description.),

Role Overview: Join a global team at JPMorgan Chase where your expertise in data management will help shape the future of Firmwide Chief Data Office. You will be at the center of keeping JPMorgan Chase strong, resilient, and forward looking. You will be part of a multi-year journey to achieve best-in-class data governance across the firm. As a Vice President in Firmwide Chief Data Office, you will work with global teams across a wide variety of stakeholders to define and implement processes and capabilities for data quality. The focus of this role will revolve around strengthening the firm's data quality framework by defining standards, procedures, playbooks, and assisting in building data quality tooling for measuring and reporting the data quality risk of the bank. You will analyze goals and requirements, assess options and risks, devise effective solutions, and oversee execution. We are looking for a motivated leader to join the team to realize personal success and foster team achievements. Key Responsibilities: - Coordinate across line of business CDO functions, Business, and Technology domains to define the approach and requirements for business and technical data quality controls. - Steer tooling development and capabilities to govern data quality controls and drive adoption within the CDO community. - Define scope and minimum requirements for business and technical data quality controls, and standard metrics/quality expectations for data elements that support critical business processes. - Promote a culture of data quality and accountability through stakeholder engagement, training, and consulting. - Drive and effectively collaborate in working groups and forums to represent Firmwide CDO perspective and requirements and influence convergence at the Firmwide level. Qualification Required: - Bachelors degree or equivalent experience in Finance, Economics, Information Systems, or other related disciplines. - 8 plus years of work experience across domains related to data management and financial services. - Effective in navigating the broader picture by applying strategic and creative thinking, while also demonstrating an in-depth view through strong analytical skills, meticulous attention to detail, and the ability to thoroughly investigate complex issues. - Strong interpersonal skills; ability to develop effective, credible relationships with colleagues as well as business and technology partners. - Excellent written and verbal communication skills and storytelling; ability to synthesize the right message to the level of the audience. - Strong knowledge of data quality-related policies and standards. - Familiarity with data management platforms that provide Data Quality controls (e.g., Informatica, Ataccama, etc.). Preferred Qualifications: - Finance-related Bachelors degree is preferred. - Experience with business intelligence solutions, such as Alteryx, Tableau, Qlikview, is a plus. - Conceptual understanding of relational databases, data modeling, and SQL will be advantageous.,

You will be responsible for interacting with clients to understand their requirements and conduct proof of concepts for Qlik Products. In addition, you should have strong visualization skills and be able to create solutions using QlikView and QlikSense. Your key responsibilities will include: - Answering technical queries related to Qlik Products. - Designing and developing solutions using QlikView and QlikSense. - Providing support to the sales process through product demonstrations and technical alignment meetings. To qualify for this role, you should meet the following requirements: - Recent experience in pre-sales/customer-facing roles assisting with product demonstrations and proof of concepts. - Knowledge of Business Intelligence and database platforms such as SQL Server, Oracle, and SAP. - Minimum of 2 years of experience in QlikView and QlikSense. Additionally, you should possess the following personal attributes: - Strong analytical skills to interpret client requirements and build proof of concept applications. - Ability to solve complex technical issues quickly and effectively. - Excellent communication skills with a customer-focused approach. Please note the following points: - You will be required to sign a 2-year bond with the company. - All HR policies, including confirmation/increment, will be applicable as per company guidelines. - You should be willing to relocate to any location in India or abroad based on business requirements.,

As a Financial Data Analyst/BI Specialist at Myntra, you will play a crucial role in driving financial reporting and process efficiency. Your expertise in data manipulation using SQL and Python/Pandas, proficiency in BI tools like QlikView, and strong understanding of financial reporting principles will be key to delivering accurate, timely, and insightful reports, as well as automating essential data processes. **Key Responsibilities:** - **Reporting & Dashboard Delivery** - Design and deliver high-impact financial dashboards and reports using QlikView to meet business requirements - Provide recommendations and analytical insights to the finance team and stakeholders based on reporting data - Manage the full lifecycle of reporting, including gathering requirements, development, testing, and deployment - Lead the implementation of functionality changes and enhancements to existing reports and dashboards - **Data Management & Validation** - Utilize Advanced SQL to query, extract, and transform large, complex financial datasets from source systems - Employ Python and Pandas for advanced data manipulation, aggregation, reconciliation, and complex financial calculations - Rigorously validate the accuracy and integrity of new and modified reports against source data and financial standards - Ensure all reports comply with financial reporting understanding and established accounting principles - **Process Improvement & Automation** - Identify opportunities for efficiency and execute initiatives for process automation across the financial reporting workflow - Develop and maintain scripts (primarily using Python) to automate routine data extraction, transformation, and validation tasks **Required Skills:** 1. **Data & Programming** - Advanced SQL (writing complex queries, stored procedures, performance tuning) - Expertise in Python with the Pandas library for data analysis and manipulation 2. **Business Intelligence** - Strong proficiency and hands-on experience with QlikView (dashboard design, scripting, maintenance) 3. **Domain Knowledge** - Good understanding of Financial Reporting 4. **Soft Skills** - Quick in grasping the requirements and translating them into technical specifications and actionable insights **Qualifications:** - Bachelor's degree in Finance, Accounting, Data Science, Information Technology, or a related field - Prior experience in a financial services or corporate finance environment Join Myntra on its journey of evolution and innovation in the fashion landscape of India. Be a part of a young and dynamic team that values meritocracy, equal opportunity, intellectual curiosity, and empowerment. Take on the challenge and fun of working at Myntra, where you will have the right tools, space, and opportunities to grow and succeed.,

As an Automation Associate in the Finance team, your role involves defining, refining, and delivering set goals for the firm. You will be a key driver for a critical team that conducts process deep dives, reviews ideas, and designs, develops, and deploys scalable automation solutions. Your primary focus will be customizing firm-wide intelligent automation capabilities to deploy cost-effective modules that enhance execution velocity, controls, and ROI. Key Responsibilities: - Partner with relevant stakeholders to understand process-related manual touchpoints, design future state, develop, test, and deploy - Manage and deliver end-to-end projects in adherence to the Hubs governance and execution model - Ensure automation implementation is compliant as per company policy - Collaborate with business, technology teams, and controls partners to ensure calibrated delivery Qualifications Required: - Expertise with hands-on experience in development of intelligent automation solutions using Python (selenium, django, pandas, numpy, win32com, tkinter, PDF/OCR libraries, exchange connections, API connectivity), UI Path (attended & unattended), Alteryx (advanced), and Pega (advanced) - Advanced hands-on experience in Tableau, QlikView, Qlik Sense, and SharePoint - 5+ years of experience in technology development, with strong problem-solving abilities, project management skills, roadblock management, and suctioning - Degree in Computer Science, Engineering, or related field - Advanced knowledge of Microsoft Office with proficiency in MS Excel, MS Access, and MS PowerPoint In addition to the above qualifications, the following are preferred: - Project Management Certification - Ability to demonstrate innovation by translating concepts into visuals - Experience as a Technical Designer or Solution Architect,

As a Data Scientist at mPokket, your role involves working with the data science team, planning projects, and building analytics models. You should possess a strong problem-solving ability and a knack for statistical analysis. Your main objective will be to align data products with business goals to enhance products and business decisions through effective data utilization. **Key Responsibilities:** - Overseeing the data scientists" team and data specialists. - Teaching, leading, and counseling colleagues on new techniques or solutions. - Collaborating with data and software engineers for deploying sciences and technologies across the company's ecosystem. - Conceiving, planning, and prioritizing data projects. - Building analytic systems and predictive models, while experimenting with new techniques. - Ensuring data projects align with organizational goals. **Qualifications Required:** - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or related technical field. - 2+ years of experience in solving analytical problems using quantitative approaches. - Proficiency in communicating quantitative analysis results. - Knowledge of relational databases and SQL. - Development experience in any scripting language (e.g., PHP, Python, Perl). - Familiarity with statistics (e.g., hypothesis testing, regressions). - Experience manipulating data sets through statistical software (e.g., R, SAS) or other methods. **Technical Skills - Must Have:** - Programming: Python (Preferred) / R. - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Random Forest, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS), Neural Networks (Deep learning), Naive Bayes, Excel, SQL. - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm. - Cloud: Understanding of Azure / AWS offerings, setting up an ML pipeline in the cloud. **Good To Have:** - Visualization: Tableau / Power BI / Looker / QlikView. - Data Management: HDFS, Spark, Advanced Excel. - Agile Tools: Azure DevOps, JIRA, Pyspark, Big Data / Hive Database. - IDE: PyCharm. Please note that this job posting was by Debapti Roy from mPokket.,