15,701 Qlikview Jobs in Secunderabad

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.,

Role Overview: You will coordinate the understanding and integration of various datasets and design analytical solutions to support critical business needs. This includes tasks such as business opportunity assessments, customer segmentation and targeting, HCP and patient opportunity identification, patient and prospective analytics, smart business experiments (test and learn), market simulations, and patient flow modeling. You will collaborate closely with cross-functional stakeholders from departments such as Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations teams. Key Responsibilities: - Coordinate the understanding and integration of various datasets - Design analytical solutions to support critical business needs - Conduct business opportunity assessments, customer segmentation, and targeting - Identify HCP and patient opportunities - Analyze patient and prospective data - Conduct smart business experiments (test and learn) - Perform market simulations and patient flow modeling - Collaborate with cross-functional stakeholders from Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations teams Qualifications Required: - Bachelor's degree in a quantitative field such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science; advanced degree (Masters, MBA, or PhD) preferred - Minimum of 3 years of experience applying advanced statistical methods to large, complex datasets - Proficiency in PySpark, Python, R, and SQL - Familiarity with data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js - Experience working with platforms like Databricks and IQVIA datasets highly valued - Strong Excel and PowerPoint skills - Background in statistical modeling and machine learning is a plus - Ability to extract and communicate key insights effectively - Excellent organizational and time management capabilities Additional Company Details (if present): The ideal candidate will possess strong leadership and interpersonal skills, with a proven ability to work effectively across business functions and with senior stakeholders. Excellent communication and influencing abilities are essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable. Candidates should also demonstrate strong problem-solving skills and the ability to quickly grasp new concepts.,

Role Overview: As a Data Analytics Expert, your role is crucial in identifying opportunities for business growth and supporting the business in meeting budgets through analytical insights. You will be responsible for communicating results and ideas to key decision-makers. Your regular portfolio health check-ups through business insights will assist in identifying areas of growth and sluggishness within the portfolio. By driving insight-led actions, you will contribute towards achieving portfolio targets. Supporting stakeholders in business reviews and key business initiatives for data-driven decision-making will also be part of your key accountabilities. Key Responsibilities: - Structure, define, and execute data analysis to uncover insights for the digital bank - Collaborate with regional and local counterparts to define and align performance metrics - Support ad-hoc data requests for management meetings - Formulate requirements and work with data engineering and technology teams to develop and validate automated data pipelines for business performance dashboards - Engage with business and product teams to formulate problems and create solution frameworks - Understand product journeys and assist in improving customer experiences Qualifications Required: - 8-14 years of experience in Data Analytics/Visualization in consumer banking, ecommerce, retail, telecoms, technology - Proficiency in using databases like Teradata, NoSQL, and Hadoop with SQL, Hive, Spark, etc. - Programming experience in Python, SAS, or similar languages/platforms - Good understanding of data visualization platforms like Tableau, Qlikview - Ability to effectively communicate complex analysis/models across diverse teams - Strong written and oral communication skills (Note: No additional details about the company were mentioned in the job description.) Role Overview: As a Data Analytics Expert, your role is crucial in identifying opportunities for business growth and supporting the business in meeting budgets through analytical insights. You will be responsible for communicating results and ideas to key decision-makers. Your regular portfolio health check-ups through business insights will assist in identifying areas of growth and sluggishness within the portfolio. By driving insight-led actions, you will contribute towards achieving portfolio targets. Supporting stakeholders in business reviews and key business initiatives for data-driven decision-making will also be part of your key accountabilities. Key Responsibilities: - Structure, define, and execute data analysis to uncover insights for the digital bank - Collaborate with regional and local counterparts to define and align performance metrics - Support ad-hoc data requests for management meetings - Formulate requirements and work with data engineering and technology teams to develop and validate automated data pipelines for business performance dashboards - Engage with business and product teams to formulate problems and create solution frameworks - Understand product journeys and assist in improving customer experiences Qualifications Required: - 8-14 years of experience in Data Analytics/Visualization in consumer banking, ecommerce, retail, telecoms, technology - Proficiency in using databases like Teradata, NoSQL, and Hadoop with SQL, Hive, Spark, etc. - Programming experience in Python, SAS, or similar languages/platforms - Good understanding of data visualization platforms like Tableau, Qlikview - Ability to effectively communicate complex analysis/models across diverse teams - Strong written and oral communication skills (Note: No additional details about the company were mentioned in the job description.)

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 Business Analyst (Data Analyst) with strong hands-on knowledge of SQL, you will play a crucial role in analyzing data, processes, and supporting the company to enhance efficiency and make strategic decisions specifically within the energy segment. Your primary responsibility will be to collaborate with stakeholders across Puma Energy to drive end-to-end business transformation, emphasizing efficiency in all processes. Key Responsibilities: - Partner with stakeholders to define specific requirements, ensuring a comprehensive understanding of operational needs and objectives. - Utilize your domain expertise to optimize business operations and align strategies in areas such as Terminal Operations, Inventory, Sales, Safety, Finance, HR, and Customer Management. - Develop, report, and monitor quality metrics of processes, identifying major pain points, investigating root causes, and providing solutions to streamline and automate business processes. - Work with critical systems including Navision, Sphera, Salesforce (SFDC), and TMS to facilitate accurate data retrieval and performance measurement. - Analyze and resolve support tickets, communicate effectively with users, and support UATs with test cases to ensure Post Go-Live Stability. - Prepare documents, user manuals, meeting materials, and correspondence as needed. - Define and scope new digital initiatives for digital transformation and business operations enhancement. - Conduct in-depth data analysis across all business functions and support activities. Qualifications Required: - Proven work experience as a Business/Data Analyst or similar role. - Strong hands-on knowledge of SQL. - Familiarity with various BI tools like Tableau, Qlikview, Power BI etc. - Excellent communication and analytical skills. - Strong organizational and leadership abilities. - Understanding of the end-to-end data BI journey. - Domain expertise in Finance, Retail, Sales, Operations, etc. In addition to the above responsibilities, you will also engage with internal and external stakeholders to ensure a collaborative approach towards achieving organizational goals.,

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),

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 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.,

You will be part of the PricewaterhouseCoopers (PwC) team, a global consulting firm dedicated to building trust in society and solving important problems for clients and communities worldwide. As a member of the US Advisory Bangalore Acceleration Center, you will play a crucial role in supporting various practice teams and contributing to PwC's success in the marketplace. **Key Responsibilities:** - Supervise, develop, and coach teams to deliver complex analytics solutions - Analyze complex problems and provide actionable insights - Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code/no-code tools - Leverage data visualization tools and programming languages - Apply Generative AI tools for rapid data synthesis, drafting, and insight generation - Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks - Develop and implement machine learning models for various purposes - Partner with Private Equity deal teams to design and execute analytics solutions - Communicate effectively with business partners and technologists - Navigate multiple engagements and manage stakeholder expectations - Maintain exceptional standards in deliverables - Build and nurture meaningful relationships with clients and team members - Thrive in a collaborative, fast-paced team environment **Qualification Required:** - Bachelor's degree (B.E/B.Tech) in Computer Science, IT, Electronics & Communication, or Electrical Engineering (minimum 60%) - Master's degree in Accounting, Finance, Economics, Data Analytics/Science, Business Administration, or Management Information Systems preferred - 10+ years of experience in Data & Technology, with at least 6 years in Deals M&A Tech & Data (preferably in Consulting) - Strong proficiency in SQL, Python or R - Proficiency in data engineering pipelines and AI/ML platforms such as Databricks - Proficiency with data visualization tools like Power BI, Tableau, QlikView - Experience with machine learning frameworks and natural language processing tools - Experience with Generative AI platforms for insight generation and business process automation - Experience integrating analytics with cloud-native AI services - Understanding of key financial statements and accounting principles - Strong analytical thinking, problem-solving, and stakeholder communication skills - Ability to manage multiple engagements and competing priorities **Good-to-Have Skills:** - Consulting industry experience - Certifications in database programming and data visualization tools - Certifications within cloud platforms - Expertise in Microsoft Power Platform - Certifications in predictive modeling or machine learning platforms - Experience designing and executing evaluation frameworks for AI/GenAI output In summary, you will have the opportunity to be an integral part of the Deals RVD team at PwC, where you will contribute to identifying, shaping, and executing deals that drive client business strategies and create significant value. Your role will involve working with top experts, engaging with clients globally, and utilizing various analytics tools and technologies to deliver impactful solutions.,

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.

In this role, you are expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. Key Responsibilities: - Work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. - Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. - Responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. Qualifications Required: - Relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. - Strong communication skills, ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. - Solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. - Technical skills including coding knowledge and experience with programming languages like Python, Java, C++, and working with and manipulating large sets of data. - Bachelors or Masters degree in a quantitative or equivalent field is required, proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. Additional Details of the Company: If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

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.,

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. - Utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. - Knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include: - Generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. - Developing models and scorecards to aid business leaders in comprehending trends and market drivers. - Collaborating with operations teams to transform insights into user-friendly solutions. - Managing tool access and monitoring usage. To excel in this role, you should have: - Bachelor's degree or equivalent experience. - Exceptional English communication skills. - Minimum of four years of experience in data modeling and analysis. - Proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools. - Project management experience. - Strong business acumen. - Meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

Role Overview: As a Lead Data Analyst, you will be responsible for utilizing your banking domain experience and project management skills to lead a team in data analytics projects. Your expertise in PySpark, Hadoop, SQL, and Excel will be crucial in delivering successful data analytics solutions. Key Responsibilities: - Utilize your experience in data analytics related projects (not data engineering development) to drive successful project outcomes - Demonstrate proficiency in Tech Skills such as PySpark, Hadoop, SQL, and Excel - Work within an Agile framework using tools like Jira and Confluence - Manage stakeholders effectively to ensure project alignment and success - Lead a team of data analysts to achieve project goals - Bring a minimum of 7 years of relevant experience to the role - Relocate to Pune if based in another location and be available immediately for the position Qualifications Required: - Mandatory Skills: MS Excel, PowerBI, Python, QlikView, Tableau - Good to Have Skills: ANSI-SQL, Cognos Analytics, Microstrategy, SAP Business Objects (Note: No additional details about the company were provided in the job description),

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.,

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.,

As a BI Lead with 8-10 years of experience, you will be responsible for overseeing BI initiatives and leading the migration of existing reports to Power BI. Your role will involve designing and implementing data models, integrating data from multiple sources, and providing hands-on expertise in developing complex dashboards and reports in Power BI and Qlik. Additionally, you will lead and mentor a team of BI developers, collaborate with stakeholders to understand reporting needs, and optimize BI infrastructure for improved performance and data accuracy. **Key Responsibilities:** - Oversee end-to-end design, development, and deployment of BI solutions, aligning with business objectives. - Lead and manage migration of reports and dashboards with minimal disruption. - Design and develop complex dashboards and reports in Power BI and Qlik. - Implement data models, integrate data from multiple sources, and ensure optimal performance. - Lead and mentor BI developers, provide technical guidance, and support their growth. - Collaborate with stakeholders to understand reporting needs and provide data-driven solutions. - Optimize BI infrastructure for improved performance, data accuracy, and security. - Identify opportunities to enhance existing BI processes and implement best practices. **Required Skills & Qualifications:** - 8-10 years of BI development experience with expertise in Qlik and Power BI. - Proven experience in migrating BI solutions from Qlik to Power BI. - Strong knowledge of data modeling, ETL processes, and data integration. - Hands-on experience with DAX, Power Query, and advanced Power BI functionalities. - Familiarity with Qlik scripting, data connectors, and Qlik Sense/QlikView platform. - Experience in designing semantic layer, using SQL for querying, and reporting. - Strong leadership, project management, and communication skills. - Ability to troubleshoot complex technical issues and optimize performance. - Knowledge of data governance, security, and best practices in reporting. - Certification in Qlik, Power BI, or related BI tools is a plus. The job type is Full-time and Permanent with a Day shift schedule and in-person work location.,

Role Overview: As a BI Developer, your main responsibility will be to design, develop, and implement interactive dashboards and reports using QlikView and Qlik Sense. You will work closely with stakeholders to gather and understand business requirements, develop data models, ETL processes, and data pipelines to ensure data accuracy and efficiency. Additionally, you will optimize dashboard performance, enhance data visualization standards, and collaborate with cross-functional teams to integrate BI solutions with existing systems. It will be crucial for you to ensure data quality, consistency, and integrity across all reporting layers. Creating documentation for BI solutions and providing user training and support when needed will also be part of your role. Furthermore, staying updated with the latest Qlik features, BI trends, and visualization best practices will be essential. Key Responsibilities: - Design, develop, and implement interactive dashboards and reports using QlikView and Qlik Sense. - Work closely with stakeholders to gather and understand business requirements. - Develop data models, ETL processes, and data pipelines to ensure data accuracy and efficiency. - Optimize dashboard performance and enhance data visualization standards. - Collaborate with cross-functional teams to integrate BI solutions with existing systems. - Ensure data quality, consistency, and integrity across all reporting layers. - Create documentation for BI solutions and provide user training/support when needed. - Stay updated with the latest Qlik features, BI trends, and visualization best practices. Qualification Required: - Bachelors or Masters degree in Computer Science, Information Systems, Data Analytics, or related field. - 5-8 years of hands-on experience in Qlik Sense / QlikView dashboard development. - Strong expertise in data modeling, SQL, and data visualization techniques. - Proficient in scripting, set analysis, section access, and performance tuning in Qlik. - Experience with ETL tools and data warehouse concepts. - Excellent analytical and problem-solving skills. - Strong communication and client interaction abilities. Good To Have: - Experience in other BI tools such as Power BI, Tableau, or Looker. - Familiarity with Python or R for advanced analytics. - Exposure to cloud data platforms (Azure, AWS, GCP). (Note: Company details were not provided in the job description),

Role Overview: As a Data Steward, your main responsibility will be to build, implement, and oversee Data Governance Policy and data management strategies to ensure data accuracy and consistency across the organization. You will act as a Subject Matter Expert for Master Data, take ownership of master data integrity in key systems, and assist in defining and applying data standards and guidelines. Your role will involve ensuring continuous data quality and compliance with data standards across the enterprise. You will work with a combination of Custom-built tools, SAP MDG, Microsoft SQL, or similar tools, and Microsoft Office tools. Additionally, you will provide active improvement ideas to the tools created for centralized data services and represent the organization's centralized data services externally with customers. It is essential that everything you do is robust, sustainable, and scalable, with the courage to question things and speak up when necessary. Key Responsibilities: - Develop, adapt, and refine Master Data operational processes using lean tools and best practices to deliver customer outcomes effectively, efficiently, and with quality. - Identify and resolve data-related issues, and develop and implement effective data governance strategies. - Collaborate with various stakeholders to gather and analyze business processes, identify requirements, and opportunities for improvement and growth. - Project-manage data-related initiatives and provide training and support to business users on data governance principles and practices. - Implement change management across the organization, influence, and make recommendations to the business on the importance of good data quality. - Monitor data quality, identify data inconsistencies and errors, and work with relevant teams to rectify them. - Assist operational teams in resolving data quality problems with high complexity. - Work closely with the business & IT to ensure alignment of master data rules and requirements. Qualifications Required: - University master's degree in computer science, Information Technology, Business Administration, or equivalent experience. - Intercultural competence and fluent English communication skills spoken and written; further languages are welcome. - Minimum of 3 years of experience working as a data steward, ideally for a medium to large financial services organization. - Hands-on experience with data management tools such as SAP MDG, SQL, Python, or R for data analysis, Power BI, QlikView, and other lineage or data quality tools would be a nice-to-have. - Change agent with the ability to drive progress and demonstrate a view on E2E Process and Know-How in P2P, O2C, and R2R. - Project management and Change management qualification or proven track record of successfully delivering added value to complex projects. - Problem-solving abilities, attention to detail, strong analytical, critical thinking, and problem-solving skills. - Ability to work in a collaborative and high-paced environment with a passionate and enthusiastic attitude towards master data. - Can-do attitude and ability to adapt to constant changes. (Location: Kurla, Mumbai) ,

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.