59 Qliksense Jobs - Page 2

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

As a Data Engineer specializing in supply chain applications, you will play a crucial role in the Supply Chain Analytics team at NovintiX, based in Coimbatore, India. Your primary responsibility will be to design, develop, and optimize scalable data solutions that support various aspects of logistics, procurement, and demand planning. Your key responsibilities will include building and enhancing data pipelines for inventory, shipping, and procurement data, integrating data from ERP, PLM, and third-party sources, and creating APIs to facilitate seamless data exchange. Additionally, you will be tasked with designing and maintaining enterprise-grade data lakes and warehouses while ensuring high standards of data quality, integrity, and security. Collaborating with stakeholders, you will be involved in developing reporting dashboards using tools like Power BI, Tableau, or QlikSense to support supply chain decision-making through data-driven insights. You will also work on building data models and algorithms for demand forecasting and logistics optimization, leveraging ML libraries and concepts for predictive analysis. Your role will involve cross-functional collaboration with supply chain, logistics, and IT teams, translating complex technical solutions into business language to drive operational efficiency. Implementing robust data governance frameworks and ensuring data compliance and audit readiness will be essential aspects of your job. To qualify for this position, you should have at least 7 years of experience in Data Engineering, a Bachelor's degree in Computer Science/IT or a related field, and expertise in technologies such as Python, Java, SQL, Spark SQL, Hadoop, PySpark, NoSQL, Power BI, Tableau, QlikSense, Azure Data Factory, Azure Databricks, and AWS. Strong collaboration, communication skills, and experience in fast-paced, agile environments are also desired. This is a full-time position based in Coimbatore, Tamil Nadu, requiring in-person work. If you are passionate about leveraging data to drive supply chain efficiency and are ready to take on this exciting challenge, please send your resume to shanmathi.saravanan@novintix.com before the application deadline on 13/07/2025.,

Senior Team Manager- Credit Risk Data Analytics It is recognized that the size and complexity of Shell Trading & Supply (T&S) has increased substantially over the past few years and the expectations around risk management from a regulatory perspective have also shifted for Energy Trading. As a result, and also recognising the potential to unlock additional value from enhanced risk management of our trading activities, a strategic decision has been made to make a major investment over the next 3-4 years to strengthen the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence. The Credit Data Analytics team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting. This role relates to Trading & Supply division (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally. Principal Accountabilities: The candidate will be responsible to lead and manage a high performing team that supports the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise. Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis. Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations. Ensure reporting and analytical tools have clear and appropriate documentation and controls. Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics e.g. Spotfire, Power BI and/or other visualisation tools. Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools. Train users on how to conduct analysis in tools developed and supported by Risk. Provide support and direction to Risk colleagues. Collaborate with and support Commercial Credit Market Risk Valuation teams with production reporting, transformation projects and other ad-hoc requests. Technical/Experience Requirements for the role: 2-5 yrs of team management will be required for this role and a min. of 8 years of professional experience on the following requirements below: Commodities Trading Risk Management Credit Risk Managment- Strong knowledge of Credit Risk fundamentals required and a desire to develop knowledge in other risk areas, such as Market or Operational Risk, preferred. Credit Risk concepts - ECL (Expected credit loss), Net Credit Exposure, PFE (Potential Future Exposure), Credit Reserves Technical Skills - SQL Server, BI tools like PBI or Tableau Experience with advanced Excel, SQL, Alteryx and/or database knowledge desirable. Experience in data visualisation Power BI, Spotfire, QlikSense or other, preferred. Finance or Mathematics Degree preferred CFA or GARP certificates preferred Prior risk experience within commodity markets , such as LNG, Oil, Gas, Power and/or Carbon preferred. Exposure to the types of conceptual, quantitative and data challenges faced in a complex trading environment with multiple ETRMs and sources of data is preferred. Excellent attention to detail, methodical, organized and able to plan to meet deadlines. Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines Self-starter, highly motivated,outcome driven. Good judgement to provide advice, question discrepancies, escalate issues. Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data. Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.

The role involves working with Data Visualization tools such as QlikSense, Tableau, and PowerBI. You will be responsible for creating visually appealing and insightful dashboards and reports to help stakeholders make informed decisions based on data analysis. The salary range for this position is as follows: - For candidates with 3-5 years of experience, the salary is 90,000 - For candidates with 5-7 years of experience, the salary is 1,30,000 - For candidates with 7-10 years of experience, the salary is 1,50,000 You will be required to maintain a tracker that includes details such as agency name, candidate details, current company, experience, notice period, and work order rate. This tracker will help in managing the recruitment process efficiently. About the Company: Purview is a prominent Digital Cloud & Data Engineering company with its headquarters in Edinburgh, United Kingdom. We operate in 14 countries including India, Poland, Germany, USA, UAE, Singapore, and Australia. Our services cater to Captive Clients and top IT organizations, providing fully managed solutions and workforce/resources support. Company Information: - Headquarters: 3rd Floor, Sonthalia Mind Space, Near Westin Hotel, Gafoor Nagar, Hitechcity, Hyderabad - Phone: +91 40 48549120 / +91 8790177967 - UK Office: Gyleview House, 3 Redheughs Rigg, South Gyle, Edinburgh, EH12 9DQ - Phone: +44 7590230910 - Email: careers@purviewservices.com If you are interested in this opportunity, please login to apply!,

You will be working as a Data Scientist/Analyst with a focus on extracting actionable insights from data. Your role will involve utilizing various tools such as Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop, GCP, and ML. To qualify for this position, you should possess a Bachelor's degree in computer or data science, engineering, statistics, operations research, or another quantitative area. You must have experience in using SQL to extract, clean, and transform data from large, complex, nested databases. Proficiency in programming languages such as Python or R in a cloud platform is essential. Additionally, you should have a minimum of 3 years of experience as a researcher, analyst, data scientist, or solution developer with expertise in one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP. Preferred qualifications include at least 3 years of experience as a researcher, analyst, data scientist, or solution developer, with a strong background in Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, and Hadoop. Experience in data mining, statistical analysis, modeling, optimization, GCP Big Query, Vertex AI, and machine learning using Python is highly desirable for this role. Strong written and verbal communication skills, along with a high level of intellectual curiosity, are essential to excel in this position.,

The Global Banking Strategy & Intelligence group plays a crucial role in helping the firm achieve its growth objectives and address complex business challenges. The Business Intelligence Unit, a team focused on revenue growth, utilizes data-driven approaches to identify, prioritize, and accelerate high-value opportunities for the Global Banking business. By leveraging a variety of data sets, including JPMC-proprietary and third-party market research, the team aims to pinpoint opportunities for Global Banking to attract new clients, strengthen existing relationships, and enhance the bank's market penetration. The primary focus lies in strategic problem-solving across various business, product, and functional domains to enhance the bank's operational and financial performance, as well as the client experience. As a Strategy & Business Intelligence Analyst within the Global Banking Strategy & Intelligence group, you will utilize your problem-solving skills, business acumen, and data science expertise to further the bank's data-driven growth objectives. Your role will involve developing a comprehensive understanding of the business, internal and external data assets, and creating actionable business plans and go-to-market strategies. Collaborating with seasoned professionals, you will work towards establishing trusted partnerships with senior leaders to identify actionable opportunities for revenue growth, risk reduction, and other strategic business objectives. Key Responsibilities: - Support a portfolio of growth initiatives and deliver actionable outcomes for senior leadership - Develop a deep understanding of the bank's business model - Apply strategic thinking and data-driven approaches to solve business challenges - Conceptualize, design, and prototype solutions utilizing advanced analytics, AI, and ML techniques - Assist in crafting compelling narratives and utilizing creative data visualization techniques to secure buy-in from stakeholders - Engage in market research, data aggregation, and analysis to develop innovative solutions Required Qualifications and Skills: - Bachelor's degree in B. Tech / B.E. / Dual Degree from premier colleges (IIT / BITS) - Strong interest in Strategy and Data Analytics - Proficiency in handling large data sets, analytical tools, and problem-solving techniques - Strong business acumen and a continuous learning mindset - Basic knowledge of programming languages like Python, R, or SQL - Interest in acquiring skills in tools such as Alteryx, Tableau, and Qliksense - Ability to derive actionable insights from data to support business growth Preferred Qualifications and Skills: - Additional qualification in data science or business analytics - Excellent communication and collaboration skills - Strong business understanding, MBA preferred In summary, as a Strategy & Business Intelligence Analyst in the Global Banking Strategy & Intelligence group, you will play a pivotal role in driving data-driven growth initiatives, collaborating with senior leaders, and contributing to the overall success of the Global Banking business.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

If you are a software engineering leader ready to take the reins and drive impact, weve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within the Asset and Wealth Management LOB, you lead a data technology area and drive impact within teams, technologies, and deliveries. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex initiatives, while serving as a primary decision maker for your teams and be a driver of engineering innovation and solution delivery. The current role focuses on delivering data solutions for some of the Wealth Management businesses. Job responsibilities Leads engineering and delivery of a data and analytics solutions Makes decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership & maintainability Delivers technical solutions that can be leveraged across multiple businesses and domains Influences and collaborates with peer leaders and senior stakeholders across the business, product, and technology teams Champions the firms culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Experience managing data solutions across a large, global consumer community in the Financial Services domain Experience hiring, developing and leading cross-functional teams of technologists Experience handling multiple, global stakeholders across business, technology and product Appreciation of the data product; modeling, sourcing, quality, lineage, discoverability, access management, visibility, purging, etc. Experience researching and upgrading to latest technologies in the continuously evolving data ecosystem Practical hybrid cloud native experience, preferably AWS Experience using current technologies, such as GraphQL, Glue, Spark, SnowFlake, SNS, SQS, Kinesis, Lambda, ECS, EventBridge, QlikSense, etc. Experience with Java and/or Python programming languages Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Comfortable being hands-on as required to drive solutions and solve challenges for the team Exposure and appreciation of the continuously evolving data science space Exposure to the Wealth Management business,

Experience Level : 7+ years Job Summary : We are seeking an experienced and dynamic Analytical Team Lead with expertise in Qlik SaaS, Power BI, Data Lake solutions, and AI/ML technologies. The successful candidate will lead a team of data analysts and engineers, driving business intelligence (BI) initiatives, building scalable analytics platforms, and leveraging advanced AI/ML models to uncover actionable insights. This role requires a strong balance of technical expertise, strategic thinking, and leadership skills to align data strategies with organizational goals. Key Responsibilities : 1. Leadership and Team Management : - Lead, mentor, and manage a team of data analysts, BI developers, and data engineers. - Promote collaboration and knowledge sharing within the team to foster a high-performance culture. - Ensure alignment of analytics objectives with business priorities. 2. BI and Data Visualization : - Design, implement, and manage scalable dashboards using Qlik SaaS and Power BI. - Ensure data visualization best practices to deliver clear, actionable insights. - Collaborate with stakeholders to define KPIs and build intuitive reporting solutions. 3. Data Architecture and Integration : - Oversee the design and optimization of Data Lake solutions for efficient data storage and retrieval. - Ensure seamless integration of data pipelines across multiple systems and platforms. - Partner with data engineering teams to maintain data quality, governance, and security. 4. AI/ML Implementation : - Drive the adoption of AI/ML technologies to build predictive models, automate processes, and enhance decision-making. - Collaborate with data scientists to develop and deploy machine learning models within the analytics ecosystem. 5. Agile Project Management : - Lead analytics projects using agile methodologies, ensuring timely delivery and alignment with business goals. - Act as a bridge between technical teams and business stakeholders, facilitating clear communication and expectation management. 6. Stakeholder Engagement : - Work closely with business leaders to identify analytics needs and opportunities. - Provide thought leadership on data-driven strategies and innovation. Key Skills and Qualifications : Technical Expertise : 1. Proficiency in Qlik SaaS and Power BI for BI development and data visualization. 2. Strong understanding of Data Lake architectures and big data technologies (Azure Data Lake, Google big query ). 3. Hands-on experience with AI/ML frameworks and libraries 4. Knowledge of programming languages such as Python, R, or SQL. Leadership and Communication : 1. Proven experience in leading and mentoring teams. 2. Strong stakeholder management and communication skills to translate complex data concepts into business value. Project Management : 1. Experience with agile methodologies in analytics and software development projects. Education : - Bachelor's degree (12 + 4) . Preferred Qualifications : 1. Certification in Qlik, Power BI, or cloud platforms . 2. Experience in deploying analytics solutions in hybrid or cloud environments. 3. Familiarity with DevOps, CI/CD pipelines, and MLOps processes.

Walk-in drive for Content Management on 04-July-2025 at Chennai location. Greeting from Infosys BPM Ltd., You are kindly invited for the Infosys BPM: MEGA Walk-In Drive on 04 th July 2025 at Chennai. Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume Documents to Carry: Please carry 2 set of updated CV (Hard Copy). Carry any photo Identity proof (PAN Card /Driving License/Voters ID card/Passport). Interview details: Interview Date: 04-July-2025 Interview Time: 10 AM till 1 PM Interview Venue: Infosys BPM Limited-Pacifica Tech Park, Old Mahabalipuram Road, Near Punjab Bank, Navalur, Chennai, Tamil Nadu 603103 Requirement #1: Digital Service Manager DSM Digital Services Job Responsibilities: Experience: - 5+Years Work location: Chennai (Pacifica) Understanding the content request and analyzing the issue by following the workflow and structure of the landscape. Reproducing the issue and prepare a prototype model or samples to reach IT Team to support business users and markets on content management tools, user management and user administration. Strategic Planning by Developing short term and long-term goals, identifying growth opportunities and defining strategies to achieve them Overseeing day-to-day operations, optimizing processes, and ensuring efficient resource allocation Developing marketing strategies, identifying target markets, promotional activities, and monitor sales growth. Building and maintaining relationships with stakeholders to address their concerns, by ensuring Positive customer satisfaction. Adopting new technology solutions to improve efficiency and enhance productivity. Taking ownership and lead the seasonal Campaigns to support the team and stakeholders. Pitching in during the special cases and Incidents to support the process and regular connect with Team members on daily and weekly. Taking responsibilities during critical situation and escalations by handling stakeholders Job Requirements: 5+ Years Experience in content management system and Stakeholder Management Strong Analytical, logical, problem solving ability and attention to details Good knowledge of HTML, Java script, CSS, Contentful, Contentstack Good knowledge of preparing reports and collecting Data Good knowledge of Microsoft Office Suite Job requires communication with clients. Demonstration of excellent business writing and spoken ability is needed Understanding of common software project management practices Requirement #2: Content Management Contentful/Content stack SME Digital Services Experience: - 4+Years Work location: Chennai (Pacifica) Job Requirements: Good communication skills 4+years Experience in Content Management System Proficient in HTML, Java script, CSS Strong knowledge of Microsoft Office Suite Added advantage: Web Authoring experience in Content Full/Content Stack Good knowledge in Adobe Photoshop and Illustrator Job requires communication with clients. Demonstration of excellent business writing and spoken ability is needed. Strong Analytical, logical, problem-solving ability and attention to details Understanding of common software project management practices Job Responsibilities: Creating banners using Photoshop, Illustrator and publishing them online. Page creation/edition using in Contentful/ContentStack. Strategic Planning by Developing short term and long-term goals, identifying growth opportunities and defining strategies to achieve them. Overseeing day-to-day operations, optimizing processes, and ensuring efficient resource allocation Developing marketing strategies, identifying target markets, promotional activities, and monitor sales growth. Building and maintaining relationships with stakeholders to address their concerns, by ensuring Positive customer satisfaction. Adopting new technology solutions to improve efficiency and enhance productivity. Taking ownership and lead the seasonal Campaigns to support the team and stakeholders. Pitching in during the special cases and Incidents to support the process and regular connect with Team members on daily and weekly. Taking responsibilities during critical situation and escalations by handling stakeholders Requirement #3: Content Management Paid Ads Social/Search Digital Services Experience: - 2+Years Work location: Chennai (Pacifica) Job Requirements: Good communication skills 2+ Years Experience in Content Management System Proficient in Google Ads - DV360 - SA360 - Lookerstudio - Adalysis - CM360 - Linkedin - Sprinklr - Meta - Cape - Bing Ads - QlikSense Strong knowledge of Microsoft Office Suite Job requires communication with clients. Demonstration of excellent business writing and spoken ability is needed. Strong Analytical, logical, problem-solving ability and attention to details Understanding of common software project management practices Job Responsibilities: Plan and execute omnichannel digital campaigns (Google Ads, LinkedIn, programmatic etc.) focused on product and service acquisition. Collaborate with digital and product teams to drive revenue through the online portfolio, optimizing performance and conversion. Monitor, report and improve ROAS using data-driven insights. Strategic Planning by Developing short term and long-term goals, identifying growth opportunities and defining strategies to achieve them. Overseeing day-to-day operations, optimizing processes, and ensuring efficient resource allocation Developing marketing strategies, identifying target markets, promotional activities, and monitor sales growth. Building and maintaining relationships with stakeholders to address their concerns, by ensuring Positive customer satisfaction. Adopting new technology solutions to improve efficiency and enhance productivity. Taking ownership and lead the seasonal Campaigns to support the team and stakeholders. Pitching in during the special cases and Incidents to support the process and regular connect with Team members on daily and weekly. Regard's Infosys BPM team

Person should have 5-8 yrs experience of hands-on experience in BI and 5 + Exp in Qlik. Should have good understanding of Data Modelling and Set Analysis operations along with SQL scripting. Good understanding of Visualization, whereby they provide the customer with the required reports i.e. charts/graphs etc Good experience in Data extraction scripts , experience in API connections Familiar with Script operations, optimization and best practices of Qlik Good skill set in in Advanced Expression Building Having hands on knowledge on security concepts Understanding of Qlik deployment process. Requirement gathering with knowledge of data analysis, transformation of data into report usable formats Familiar with Master Items creation Working knowledge on Extensions in Qlik Sense such as Vizlib Developer 2 to 4 Years of total experience , 2+ experience in Qlikview/qliksense technology Proficient in requirement gathering , preparing test and plan and design applications. Expert in dimensional and relational modelling, hierarchies, data transformation methods in scripting, and Qlik governance. Working knowledge in Qliksense architecture , caching , scaling and services Good analytical skills with expertise in qliksense scripting, data source integration, performance optimization Experience in SQL functions, graphs, styles, aggregation awareness , drill through Emxperience in conducting user training , documentation training anuals and supporting user acceptance testing Preference to have Exposure to Vizlib Extension

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

Job Summary: We are seeking a skilled and proactive Qlik Sense Developer with 3+ years of experience in designing and developing interactive dashboards and data visualizations. The ideal candidate should be capable of transforming raw data into meaningful insights, collaborating with business users, and delivering scalable BI solutions. The Qlik Sense Developer will be responsible for the full lifecycle of Qlik Sense application development, from requirements gathering to deployment and support. Key Responsibilities : Design and Development : - Design, develop, and maintain Qlik Sense dashboards, reports, and data models. - Create interactive visualizations to effectively communicate data insights. - Develop and implement data extraction, transformation, and loading (ETL) processes using Qlik scripting. - Optimize data models and dashboards for performance, scalability, and usability. Requirements Gathering and Collaboration : - Work closely with business stakeholders to gather and document business requirements. - Translate business requirements into technical specifications and data models. - Collaborate with cross-functional teams, including data engineers, database administrators, and business analysts, to ensure seamless data integration and delivery. Data Management and Integration : - Integrate Qlik Sense with various data sources, including relational databases (SQL Server, Oracle, etc.), flat files (Excel, CSV), cloud platforms (AWS, Azure, GCP), and APIs. - Ensure data accuracy, integrity, consistency, and security throughout the data lifecycle. - Implement data validation and quality assurance processes. Support and Maintenance : - Provide ongoing support, troubleshooting, and maintenance for existing Qlik Sense dashboards and solutions. - Identify and resolve performance bottlenecks and data-related issues. - Create and maintain technical documentation, including data flow diagrams, data dictionaries, and user guides. - Provide training and knowledge transfer to end-users. Best Practices and Continuous Improvement : - Adhere to Qlik Sense development best practices and coding standards. - Stay up-to-date with the latest Qlik Sense features, functionalities, and industry trends. - Contribute to the improvement of BI processes and methodologies. Qualifications and Skills : Essential Qualifications : - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum 3 years of hands-on experience with Qlik Sense development, including scripting, data modeling, and application development. - Strong knowledge of Qlik Scripting, data modeling techniques (star schema, snowflake schema), and data visualization best practices. - Proficiency in SQL and relational database concepts. - Experience in connecting Qlik Sense to various data sources (e.g., SQL databases, Excel, CSV, APIs). - Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. - Excellent communication and interpersonal skills to effectively collaborate with business users and technical teams. - Ability to work independently and as part of a team. Desirable Qualifications: - Experience with Qlik NPrinting for report distribution and automation. - Knowledge of QlikView. - Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data warehousing solutions. - Familiarity with Agile development methodologies (e.g., Scrum, Kanban). - Basic understanding of data warehousing concepts, ETL processes, and dimensional modeling. - Qlik Sense certifications.

Job Summary : We are seeking an experienced and dynamic Analytical Team Lead with expertise in Qlik SaaS, Power BI, Data Lake solutions, and AI/ML technologies. The successful candidate will lead a team of data analysts and engineers, driving business intelligence (BI) initiatives, building scalable analytics platforms, and leveraging advanced AI/ML models to uncover actionable insights. This role requires a strong balance of technical expertise, strategic thinking, and leadership skills to align data strategies with organizational goals. Key Responsibilities : 1. Leadership and Team Management : - Lead, mentor, and manage a team of data analysts, BI developers, and data engineers. - Promote collaboration and knowledge sharing within the team to foster a high-performance culture. - Ensure alignment of analytics objectives with business priorities. 2. BI and Data Visualization : - Design, implement, and manage scalable dashboards using Qlik SaaS and Power BI. - Ensure data visualization best practices to deliver clear, actionable insights. - Collaborate with stakeholders to define KPIs and build intuitive reporting solutions. 3. Data Architecture and Integration : - Oversee the design and optimization of Data Lake solutions for efficient data storage and retrieval. - Ensure seamless integration of data pipelines across multiple systems and platforms. - Partner with data engineering teams to maintain data quality, governance, and security. 4. AI/ML Implementation : - Drive the adoption of AI/ML technologies to build predictive models, automate processes, and enhance decision-making. - Collaborate with data scientists to develop and deploy machine learning models within the analytics ecosystem. 5. Agile Project Management : - Lead analytics projects using agile methodologies, ensuring timely delivery and alignment with business goals. - Act as a bridge between technical teams and business stakeholders, facilitating clear communication and expectation management. 6. Stakeholder Engagement : - Work closely with business leaders to identify analytics needs and opportunities. - Provide thought leadership on data-driven strategies and innovation. Key Skills and Qualifications : Technical Expertise : 1. Proficiency in Qlik SaaS and Power BI for BI development and data visualization. 2. Strong understanding of Data Lake architectures and big data technologies (Azure Data Lake, Google big query ). 3. Hands-on experience with AI/ML frameworks and libraries 4. Knowledge of programming languages such as Python, R, or SQL. Leadership and Communication : 1. Proven experience in leading and mentoring teams. 2. Strong stakeholder management and communication skills to translate complex data concepts into business value. Project Management : 1. Experience with agile methodologies in analytics and software development projects. Education : - Bachelor's degree (12 + 4) . Preferred Qualifications : 1. Certification in Qlik, Power BI, or cloud platforms . 2. Experience in deploying analytics solutions in hybrid or cloud environments. 3. Familiarity with DevOps, CI/CD pipelines, and MLOps processes.

Job Role / Responsibilities - Develop a comprehensive understanding of PhonePes business, systems, and processes. - Acquire in-depth process understanding for planned audits, including processes, systems involved, data flow, and datasets. - Be able to evaluate financial, operational, technical, and compliance processes and internal controls, identifying areas of risk and operational process improvement. Be able to validate them against requirements including Financial Reporting standards, policies and processes. - Should be having strong understanding of financial risks & respective financial reporting standards and be able to identify risks, evaluate relevant internal controls with the objective of mitigating the risks and improving financial & operational performance. - Execute audits from risk assessment, audit planning & scoping to execution & reporting. - Prepare / review RCMs, process notes, flow charts, and other working papers. - Drives and understand root cause of the observations and follow the 5 why approach for corrective action plans. - Prepare comprehensive audit reports, ensuring clarity, accuracy, and adherence to internal reporting standards. - Facilitate discussions with auditees on audit findings, ensuring a clear understanding of identified issues and recommendations, and report significant issues to senior management. - Provide timely updates on audits to the Internal Audit head, holding regular meetings with auditees. - Ensure the overall quality of audit reports and audit documentation based on methodology - Plan resource and budget for audit and be able to lead the audit team - Collaborate with cross-functional teams to implement corrective actions and enhance internal controls. - Stay updated on industry regulations, best practices, and emerging trends. - Work collaboratively in a fast-paced, multi-dimensional team to ensure timely completion of projects. - Handle Internal Audit organizational activities, including budgeting, risk assessment, and external stakeholder management. - Conduct periodic follow-ups with auditees to monitor the timely and effective implementation of management action plans. - Drives planning, design, and implementation of audit analytics in projects. Understands existing datasets, DBs and good understanding of data quality and ability to test / validate accuracy, completeness, and usability of data. - Collaborating with business partners and 2nd LOD functions to understand data architecture and help identify the most suitable source of data for audit purposes. - Demonstrates good understanding of data governance processes, practices, policies, and guidelines. -Execute Internal Audit fieldwork based on the acquired process and data understanding. Essential Skills/Qualification - Min 7 years of post-qualification experience in internal audit and/ or Statutory audit - Chartered Accountant or equivalent qualification - Sound understanding of control environment, compliance, and risk frameworks. - Sound understanding of financial reporting frameworks and key accounting ERPs. - Excellent written and verbal communication skills. - Strong problem solving and analytical skills. - Be able to work in a fast-paced role with competing priorities. Adaptable to project requirements and does what is required to get the job done. - Demonstrate ability for seamless execution, continuous improvement and problem solving. Preferred Skills & Qualification - Experience in Financial internal audits and/or Statutory Audits with Big4 or organization risk and control functions. - Prior industry experience - Experience in Accounting software such as Oracle, SAP and Microsoft Dynamics etc. - Data Analytics Skill sets such as SQL, Python, Qliksense - Build SQL scripts and perform data analysis to create valuable insights to aid Internal Audits. - Review quantitative analysis that translates data into actionable insights. - Experience in analysing very large, complex, multi-dimensional data sets for risks and issue trends.

What youll be doing The candidate will participate in the assignments of the Group validating Models used in the for valuation and risk measurement of Financial Portfolios, Assets and Instruments as well as the formulation of Input and Output information from the Global Energy markets.She or he is based in London, Houston, Singapore or Bangalore. The analyst bridges seven areas: Assessment that a Model is fit for purpose Analysis of Model algorithms applying different validation techniques which include using challenger models internally built or procured externally Review of process underlying a Model including inputs and outputs flows Determination of adjustments to Model required to mitigate weaknesses Maintenance and extension of the Model Validation policy Inventory of Models used within the Risk Management Function (RMF) and without as requested Collection of code and documentation for successive Model versions The different professionals involved in these activities along with the Group manager will intervene on a Model at 3 levels: The Scientist Senior Analyst will investigate the conceptual underpinnings of the Model and audit the embedded algorithms with a view to identifying limitations to the model and remediations The Engineer Analyst will consider the cases where the Model is applied and formulate test scripts to verify that inputs & parameters are used appropriately to generate outputs that are properly understood The Technician Junior Analyst will compile the information related to the Model and execute test scripts Engagement of the Model Validation specialists with external Stakeholders will be very significant starting with other groups in the RMF such as Quantitative Analysis, Portfolio Valuation, Market Risk Management Advisory, Market Risk Operations, Risk Management Transformation and Credit Risk Management Advisory. They will also interface ongoing with Commercial Traders, Originators & Structurers, Quantitative Analysts & Research Analysts as well as Back-Office and Information Technology Departments. The Model Validation specialists also participate in educational efforts with benefits across RMF and the firm. The skills required for the tasks include: The application of advanced financial mathematics to formulate algorithms used for valuation and risk measurement of exotic derivatives and assets such as Natural Gas & Oil Storage, LNG & Freight Cargos, Transport, Transmission and Power Generation as well as calculate with various methodologies portfolio metrics like Market Value at Risk (Var), Credit Potential Future Exposure (PFE) and Economic Capital Industry experience in structuring and balancing these deals and portfolios while selecting the appropriate inputs & parameters for modeling Abilities in multiple software tools to analyze the code underlying a Model and build challenger Models by transforming algorithms quickly in working applications Data analysis techniques allowing to follow data extraction, transformation and interfacing from numerous corporate systems into a Model application Communication methods to explain the Model implications to Senior Management as well as Quantitative Specialists who built and are using the Model What you bring A degree in business administration, finance, economics, mathematics, engineering or information systems at the bachelors or above level for the Technician specialist and masters to PhD for the Engineer and Scientist General knowledge of energy markets, natural gas, power, emissions, oil crude & products and LNG Preferably with substantial experience in risk management in the Energy industry CQF, ERP, FRM and other related certifications are welcome Excellent critical thinking and problem-solving skills Strong analytical skills with attention to detailed data analysis and complex model configuration Ability to multi-task and accommodate organic changes in requirements for deliverables Ability to work as a team member and with all members of the organization. Ability to communicate complex technical ideas, regardless of the technical capacity of the audience Proficiency with Microsoft Office Suite, SharePoint and Teams Knowledge of SQL e.g. TOAD or GOLDEN, VBA independently or within Excel, C# and .Net Experience with one or several analytical languages like Python, R, MatLab or SAS Usage of either QlikSense, QlikView, Spotfire, Power BI or Alteryx Navigation in Energy Trading and Risk Management systems (ETRMs) OpenLink ENDUR, SunGard Nucleus, FIS Aligne, CubeLogic and using or connecting analytical libraries Lacima, Numerix, Allegro/FEA & Open Source Risk (OSR) Application processing in the Microsoft Azur Cloud and AWS Progress as a person as we work on the energy transition together. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from flexible working hours, and the possibility of remote/mobile working. Perform at your best with a competitive starting salary and annual performance related salary increase our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programs.

We are seeking an experienced Business Analyst with a strong background in Qlik Sense , Power BI , and Microsoft Excel to support our data and reporting initiatives. The ideal candidate will play a key role in analyzing business requirements, driving insights through data visualization, and supporting process improvements across departments What were looking for Education: Bachelor's degree in Computer Science , Information Technology , or a related field. Experience: Minimum 6 to 7 years of experience in a Business Analyst or data-driven role. Preferred Qualifications: Proven experience with Qlik Sense and Power BI for building interactive dashboards and visual reports Strong proficiency in MS Excel (advanced formulas, pivot tables, data modeling) Excellent analytical and problem-solving skills with attention to detail Strong communication skills both verbal and writtensuitable for technical and non-technical audiences Experience using JIRA and working in an Agile project management environment is a strong plus Basic to intermediate SQL skills to query and validate data from relational databases Ability to interpret and visualize complex datasets to inform strategic decisions Demonstrated capability to work independently and collaboratively in a cross-functional team How you will thrive and create an impact: Analyze data requirements and collaborate with stakeholders to design intuitive, scalable dashboards and reporting solutions Develop and maintain dashboards in Qlik Sense and Power BI that support key business decisions Interpret business needs and translate them into data models, visualizations, and actionable insights Use SQL to extract and validate data across multiple systems when needed Proactively identify opportunities to streamline business processes through automation and reporting enhancements Partner with business and IT teams to define KPIs, measure performance, and identify trends Assist in Agile ceremonies (e.g., sprint planning, retrospectives) and manage work through JIRA/DEVOPS Document business processes, technical specifications, and training materials as needed Ensure data accuracy, consistency, and security across platforms Provide ad hoc analysis and support across departments as required Interested candidates Kindly share the resume to vikramvarma.ravi@avantorscienes.com

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organizations financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Technology->Business Intelligence - Visualization->Qlikview Administration Preferred Skills: Technology->Business Intelligence - Visualization->Qlikview Administration

The Credit Data Analytics team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting. This role relates to Trading & Supply division (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally. Principal Accountabilities: The candidate will be responsible to lead and manage a high performing team that supports the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise. Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis. Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations. Ensure reporting and analytical tools have clear and appropriate documentation and controls. Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics e.g. Spotfire, Power BI and/or other visualisation tools. Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools. Train users on how to conduct analysis in tools developed and supported by Risk. Provide support and direction to Risk colleagues. Collaborate with and support Commercial / Credit / Market Risk / Valuation teams with production reporting, transformation projects and other ad-hoc requests. Technical/Experience Requirements for the role: 2-5 yrs of team management will be required for this role and a min. of 8 years of professional experience on the following requirements below: Commodities Trading Risk Management Credit Risk Managment- Strong knowledge of Credit Risk fundamentals required and a desire to develop knowledge in other risk areas, such as Market or Operational Risk, preferred. Credit Risk concepts - ECL (Expected credit loss), Net Credit Exposure, PFE (Potential Future Exposure), Credit Reserves Technical Skills - SQL Server, BI tools like PBI or Tableau Experience with advanced Excel, SQL, Alteryx and/or database knowledge desirable. Experience in data visualisation Power BI, Spotfire, QlikSense or other, preferred. Finance or Mathematics Degree preferred CFA or GARP certificates preferred Prior risk experience within commodity markets , such as LNG, Oil, Gas, Power and/or Carbon preferred. Exposure to the types of conceptual, quantitative and data challenges faced in a complex trading environment with multiple ETRMs and sources of data is preferred. Excellent attention to detail, methodical, organized and able to plan to meet deadlines. Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines Self-starter, highly motivated, outcome driven. Good judgement to provide advice, question discrepancies, escalate issues. Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data. Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.

Role & responsibilities Design, develop, and maintain Qlik NPrinting reports based on user requirements and business needs. Extract data from various sources, including Qlik Sense, QlikView, and other databases, and integrate it into NPrinting for reporting purposes. Build and optimize Qlik data models to ensure data accuracy, integrity, and optimal performance. Optimize NPrinting reports for performance and scalability, ensuring they can handle large datasets and complex requirements

Job Summary : We are seeking an experienced and dynamic Analytical Team Lead with expertise in Qlik SaaS, Power BI, Data Lake solutions, and AI/ML technologies. The successful candidate will lead a team of data analysts and engineers, driving business intelligence (BI) initiatives, building scalable analytics platforms, and leveraging advanced AI/ML models to uncover actionable insights. This role requires a strong balance of technical expertise, strategic thinking, and leadership skills to align data strategies with organizational goals. Key Responsibilities : 1. Leadership and Team Management :- Lead, mentor, and manage a team of data analysts, BI developers, and data engineers.- Promote collaboration and knowledge sharing within the team to foster a high-performance culture.- Ensure alignment of analytics objectives with business priorities. 2. BI and Data Visualization :- Design, implement, and manage scalable dashboards using Qlik SaaS and Power BI.- Ensure data visualization best practices to deliver clear, actionable insights.- Collaborate with stakeholders to define KPIs and build intuitive reporting solutions. 3. Data Architecture and Integration :- Oversee the design and optimization of Data Lake solutions for efficient data storage and retrieval.- Ensure seamless integration of data pipelines across multiple systems and platforms.- Partner with data engineering teams to maintain data quality, governance, and security. 4. AI/ML Implementation :- Drive the adoption of AI/ML technologies to build predictive models, automate processes, and enhance decision-making.- Collaborate with data scientists to develop and deploy machine learning models within the analytics ecosystem. 5. Agile Project Management : - Lead analytics projects using agile methodologies, ensuring timely delivery and alignment with business goals.- Act as a bridge between technical teams and business stakeholders, facilitating clear communication and expectation management.6. Stakeholder Engagement : - Work closely with business leaders to identify analytics needs and opportunities.- Provide thought leadership on data-driven strategies and innovation.Key Skills and Qualifications : Technical Expertise : 1. Proficiency in Qlik SaaS and Power BI for BI development and data visualization. 2. Strong understanding of Data Lake architectures and big data technologies (Azure Data Lake, Google big query ). 3. Hands-on experience with AI/ML frameworks and libraries4. Knowledge of programming languages such as Python, R, or SQL.Leadership and Communication :1. Proven experience in leading and mentoring teams. 2. Strong stakeholder management and communication skills to translate complex data concepts into business value.Project Management :1. Experience with agile methodologies in analytics and software development projects. Education :- Bachelor's degree (12 + 4) .Preferred Qualifications : 1. Certification in Qlik, Power BI, or cloud platforms . 2. Experience in deploying analytics solutions in hybrid or cloud environments. 3. Familiarity with DevOps, CI/CD pipelines, and MLOps processes.

Role: Qlik Sense Developer Location: Chennai Experience: 5+ years