1410 Qlikview Jobs - Page 50

Job Title: Data Analyst BFSI | Qlik Sense, QlikView & Power BI Location: Bangalore Experience Level: 7+ years of experience Job Summary: We are seeking a skilled and detail-oriented Data Analyst with strong experience in Qlik Sense, QlikView, and Power BI to join our team. The ideal candidate will have a solid understanding of data visualization, business intelligence , and analytics within the BFSI (Banking, Financial Services, and Insurance) domain. You will play a key role in turning complex data into actionable insights that support decision-making and business strategies. Key Responsibilities: Design, develop, and maintain dashboards and reports using Qlik Sense, QlikView, and Power BI . Translate business requirements into clear, insightful data visualizations and analytical solutions. Collaborate with stakeholders to gather and analyze data needs for various business functions. Perform data extraction, transformation, and loading (ETL) processes as required. Ensure data accuracy, integrity, and consistency across reporting platforms. Provide ad-hoc reporting and deep-dive analysis to support business needs and strategic initiatives. Monitor and optimize performance of BI tools and dashboards. Maintain documentation for data models, dashboards, and reports. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, Statistics, Finance, or a related field. 4+ years of experience in data analysis, BI development, or related roles. Proficiency in Qlik Sense, QlikView, and Power BI – including scripting, data modeling, and dashboard development. Strong knowledge of SQL and relational databases. Experience working in the Banking, Financial Services, or Insurance (BFSI) domain – with understanding of domain-specific KPIs and reporting needs. Strong analytical and problem-solving skills with keen attention to detail. Ability to communicate insights clearly to technical and non-technical stakeholders. Preferred Qualifications: Experience with other data tools (e.g., Tableau, Excel, Python/R for data analysis) is a plus. Knowledge of data governance, compliance, and security practices in the BFSI sector. Understanding of financial metrics, regulatory reporting, and risk analytics. What We Offer: Competitive compensation and benefits package. Exposure to advanced analytics and enterprise-level BI platforms. Collaborative and inclusive team environment. Opportunities for professional development and career growth.

The Client Services BI Analytics team strives to create an open, trusting data culture where the cost of curiosity - the number of steps, amount of time, and complexity of effort needed to use operational data to derive insights - is as low as possible. We govern Client Services operational data and metrics, create easily usable dashboards and data sources, and analyze data to share insights. We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders, from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities. This specialist role makes data available from new sources, builds robust data models, creates and optimizes data enrichment pipelines, and provides engineering support to specific projects. You will partner with our Data Visualizers and Solution Designers to ensure that data needed by the business is available and accurate and to develop certified data sets. This technical lead and architect role is a force multiplier to our Visualizers, Analysts, and other data users across Client Services. Responsibilities Design, develop, and maintain scalable data pipelines and systems. Monitor and troubleshoot data pipeline issues to ensure seamless data flow. Establish data processes and automation based on business and technology requirements, leveraging Visa s supported data platforms and tools Deliver small to large data engineering and Machine learning projects either individually or as part of a project team Setup ML Ops pipelines to Productionalize ML models and setting up Gen AI pipelines Collaborate with cross-functional teams to understand data requirements and ensure data quality, with a focus on implementing data validation and data quality checks at various stages of the pipeline Provide expertise in data warehousing, ETL, and data modeling to support data-driven decision making, with a strong understanding of best practices in data pipeline design and performance optimization Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, and SQL Develop data solutions using Agile principles Provide ongoing production support Communicate complex concepts in a clear and effective manner Stay up to date with the latest data engineering trends and technologies to ensure the companys data infrastructure is always state-of-the-art, with an understanding of best practices in cloud-based data engineering This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Primary / Basic Skills 3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) 3+ years of work experience with a bachelor s degree in the STEM field. Strong experience with SQL, Python, Hadoop, Spark, Hive, Airflow and MPP data bases Experience with both traditional data warehousing tools and techniques (such as SSIS, ODI, and on-prem SQL Server, Oracle) as well as modern technologies (such as Hadoop, Denodo, Spark, Airflow, and Python) Advanced knowledge of SQL (e.g., understands subqueries, self-joining tables, stored procedures, can read an execution plan, SQL tuning, etc.) Solid understanding of best practices in data warehousing, ETL, data modeling, and data architecture. A team player and collaborator, able to work well with a diverse group of individuals in a matrixed environment Preferred Skills A solid understanding of best practices in data engineering Strong analytics experience with a focus on Data Engineering and AI Experience with cloud-based data warehousing and data pipeline management (AWS, GCP, Azure) Experience with NoSQL databases (e.g., MongoDB, Cassandra) Maintainance and Support of Data pipelines (daily / monthly) Experience with visualization software (e.g., Tableau, QlikView, PowerBI) is a plus.

VOIS Intro About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS Centre Intro About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Experience Job Description 7+ years (Senior) years of experience as data analyst. Strong working experience in Looker studio with a 2+ years of experience on LookML along with semantic layer/data modeling knowledge. Adequate exposure to Data visualization tools like Looker studio, Tableau, QlikView, SAS Visual Analytics, etc. Expertise in SQL, data modeling with knowledge of basic ETL processes. Experience with test-driven development in an agile software environment. Previous experience in Telecom would be a distinct advantage. Responsibilities Develop and implement data model using Looker. Create and maintain Looker explores, projects, and views. Performance tuning of Looker dashboards. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Leverage previously created data models, insights, and analyses from across the Vodafone business to drive positive business outcomes. Mentor and serve as a technical resource for other team members. VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

As a BI Qliksense Developer with a Visualization focus, you will be instrumental in transforming raw data into compelling visual stories that empower our leadership team to make informed strategic decisions. You will leverage your deep expertise in Qlik Sense, data modeling, and business intelligence principles to deliver high-quality, user-centric solutions. Your ability to understand complex business requirements, design intuitive visualizations, and optimize performance will be crucial to your success. You will also contribute to data governance, security, and the overall health of our BI environment. Responsibilities - Design, develop, and maintain complex Qlik Sense reports, dashboards, and applications with a strong focus on delivering insights for Executive and Leadership stakeholders. - Utilize advanced Qlik Sense features and scripting to create highly interactive and insightful visualizations. - Implement On-Premises Qlik Sense architectures, ensuring scalability and stability. - Configure and manage Qlik Sense Enterprise, including security rules and access controls. - Develop and manage Qlik Sense extensions and integrations as needed. - Perform Qlik Sense administration tasks, including user management, license allocation, and system monitoring. - Implement and manage N-Printing for report distribution and scheduling. - Configure and manage Qlik Sense Alerting to proactively notify stakeholders of critical data changes. - Take a proactive and leading role in gathering detailed requirements from product owners, internal analysts, and business stakeholders, particularly focusing on the needs of Executive and Leadership users. - Translate complex business requirements and acceptance criteria into effective and efficient Qlik Sense solutions. -

About The Team Flipkart is India’s largest eCommerce company and is defining eCommerce in the country. Flipkart’s vision is to make Analytics and Big Data part of its overarching competitive strategy, and push it up to decision makers at every level. You will partner with business heads for Retail/Marketplace/Supply Chain/Marketing/Product to create enormous impact through the use of the latest analytical tools and techniques. At Flipkart, high focus on impact and ownership allows for freedom for each to experiment and innovate. The ability to see what your contribution does to the business is a rare experience, add to that the fact that the impact of it is felt by your friends and family in India - the experience is extremely gratifying. About The Role Senior Business Analyst is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. What You’ll Do You You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data driven decision making. You will execute quantitative analysis that translates data into actionable insights You will drive data driven decision making through the stakeholders You will influence new opportunities for business based on internal/ external data You will drive the team to adopt new and innovative ways of solving business problems What You’ll Need Educational/ Work ex: ○ Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute ○ 3+ Years of experience in relevant role Required abilities / competencies: ○ Ability to breakdown any problem into components that can be collaboratively solved ○ Ability to negotiate on the scope of the problem through business understanding ○ Penchant for business and persistence to work with data to derive insights ○ Experience in analysing very large, complex, multi-dimensional data sets ○ Ability to find innovative solutions to mitigate dependencies and risks for deliverables ○ Ability to independently plan and execute deliveries ○ Exceptional written and verbal communication skills ○ Ability to multitask and work on a diverse range of requirements Technical capabilities: ○ Expertise in SQL, Excel, other scripting languages (R, Python, etc.) ○ Good background in statistical modelling and experience with statistical tools such as R, Python, Spark, SAS or SPSS. Good to have : ○ Working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio, etc) Show more Show less

Job Description About Goldman Sachs The Goldman Sachs Group is a bank holding company and a leading global investment banking, securities and investment management firm. Goldman Sachs provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net worth individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world. Business Unit Overview Goldman Sachs Services Private Limited in Bengaluru is seeking an analyst to support the Loan Management function within the Global Banking & Markets (GBM) Public Division. The Loan Management function supports the Mortgages and Structured Products business for GBM Public that transacts in loans, derivatives, and securities across various mortgage related products. The Data Analytics team in Loan Management is responsible for standardizing and controlling all data flows with respect to mortgage trading and lending products owned by the firm. Responsibilities Management and oversight of trading and lending data for Mortgages and Structured Products, including data pipelines and database management, validation, and quality control Process and workflow automation to eliminate redundancies, reduce manual interventions and improve efficiency for the firm’s trading and lending platforms Develop strategic reporting for trading desks and asset management across relevant products and asset classes Ensure end-to-end flow, accuracy, and completeness of data by partnering with Trading Desks, Asset Management, Engineering and Strats to understand business requirements and define strategic data models and systems Liaise with Controllers, Compliance, Risk and other divisions for regulatory and business important reporting through automated toolkits Translate business requirements into tangible solution specifications and high quality, on time deliverables Manage project timelines and completions for committed analytics, automation and reporting Reconcile data discrepancies and perform data reconciliations between external vendors and internal databases through analytics and research Skills / Experience 1-3 years of experience in data analysis, data modeling, RDBMS databases and ETL Strong academic background – 4-year related engineering background with a minimum 3.0 GPA equivalent. Experience with at least one programming language such as Java, Python etc. preferred. Proficient in SQL and / or interacting with structured data Understanding of in industry standard data transformation and reporting tools such as Tableau, Qlikview, QlikSense, Alteryx, RapidMiner etc. Solid analytical/logical mindset and attention to detail Strong communication skills (clear, concise, and confident) with the ability to manage internal and external relationships. Team-oriented with a strong sense of ownership and accountability Must know or be able to learn Excel to an advanced level Ability to prioritize workload, and work with Technology to help drive data smart solutions Good to have Knowledge and/or experience with Machine Learning preferred Understanding of databases, data models, and Extraction Transformation Load (ETL) processes preferred. Mortgage banking or other financial industry experience Understanding of structured finance, collateralized lending, fixed income, or related finance modeling concepts About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2024. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

Job Description The candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. He/she should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems.The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. He/she must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles And Responsibilities Understand the business model on why things are the way they are, ask relevant questions and get them clarified. Breakdown complex problems in small solvable components, to be able to identify problem areas in each component. Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making. Facilitate the implementation of new or improved business processes and systems. Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements. Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects. Prescribe suitable solutions with an understanding in limitations of toolsets and available data. Manage procurement of data from various sources and perform data audits. Fetch and analyze data from disparate sources and drive meaningful insights. Provide recommendations on the business rules for effective campaign targeting. Interpret analytical results and provide insights; present key findings and recommended next steps to clients. Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models. Audit deliverables ensuring accuracy by critically examining the data and reports against requirements. Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices. Actively work on audience targeting insights, optimize campaigns and improve comm governance. Technical And Functional Skills Must Have BS/BA degree or equivalent professional experience required Degree. Minimum 7+ years of professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization. Experience in Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Marketing, and Analytics knowledge – Campaign Analytics. Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) Strong analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data. Comfortable working autonomously with broad guidelines. Passion for data and analytics for marketing and eagerness to learn. Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English. Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables. Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches. Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing. Experience with Google sheet/Excel. Good To Have Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in database marketing and CRM. Working knowledge in data visualization tools (Tableau, QlikView, etc.). Working knowledge of analytical/statistical techniques. Experience in Hadoop environment – Hive, Presto is a plus. Experience in Python/R. Previous consulting experience is a definite plus. About Us At eClerx, we serve some of the largest global companies – 50 of the Fortune 500 clients. Our clients call upon us to solve their most complex problems, and deliver transformative insights. Across roles and levels, you get the opportunity to build expertise, challenge the status quo, think bolder, and help our clients seize value About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. Show more Show less

Business Advisors shape the vision with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Conducts appropriate meetings/workshops to elicit/understand and document the business requirements using their domain expertise. In addition, may also produce process and data models of the current and/or future state. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Job Description YOUR IMPACT Are you passionate about developing mission-critical, high quality software solutions, using cutting-edge technology, in a dynamic environment? We are looking for talented and enthusiastic professionals to join our engineering team and help build out a broad set of user facing and data processing platforms. The Goldman Sachs Compliance Division Prevents, Detects And Mitigates Regulatory And Reputational Risk Across The Firm, And Helps To Strengthen The Firm's Culture Of Compliance. As An Independent Control Function And Part Of The Firm's Second Line Of Defense, Compliance assesses the firm's compliance, regulatory and reputational risk; monitors for compliance with new or amended laws, rules and regulations; designs and implements controls, policies, procedures and training; conducts independent testing; investigates, surveils and monitors for compliance risks and breaches; and leads the firm's responses to regulatory examinations, audits and inquiries. Compliance Engineering empowers these activities by building and operating a suite of software platforms and applications. We are a team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We have access to the latest technology and to massive amounts of structured and unstructured data. We leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications, incorporating cutting-edge AI and efficient processes to drive them. Compliance Engineering does not build tools in a silo. Our user base spans thousands of users globally. We partner with Compliance Officers across divisions, to fully understand the financial products, business strategies, and regulatory regimes. This knowledge enables us to build long-lasting software solutions, and to innovate with a purpose. Compliance Engineering is looking to fill a Technical Program Manager role in our Bengaluru office. How You Will Fulfill Your Potential As a member of our team, you will partner globally across multiple divisions and engineering teams to create end-to-end solutions. You will be able to innovate and incubate new ideas, and you will learn and share knowledge across the organization. You will be the lead delivery of a range of Financial Crime Compliance Engineering projects, such as development of software to: monitor for suspicious transactions; visualize patterns of customer or employee behavior in an investigative UI; and automate workflows with new platforms and virtual assistants. You will help understand the risks involved in the Goldman Sachs businesses, design and deploy our surveillance and risk management products, and drive the delivery of Compliance Engineering projects. Your Typical Day Could Look Like This Work with project sponsors to define and actively manage project scope, plan, resource, budget, timeline, deliverables and dependencies. Create a long-term plan, including setting targets for near and far-away milestones, adhering to deadlines and managing resources. Identify a potential risk to your project, and propose a mitigation strategy. Design, develop and maintain a project’s reporting dashboard, and communicate with key stakeholders on progress of the project. Obtain updates from multiple workstreams from Compliance, Engineering, and the business. Review a technical proposal, and verify that it meets our user and stakeholder goals; if it doesn’t, challenge it. Motivate people to complete tasks on time – and, yes, chase them. Qualifications A successful candidate will possess: A Bachelor's or Master's degree in Business, Management, Computer Science, Computer Engineering, or a similar field of study. 8+ years of experience, preferably in project management in consulting or financial services. Working knowledge of financial markets and products; Compliance experience is a plus! Strong analytical and problem solving skills, including demonstrable experience analyzing data (e.g., utilizing Excel, Alteryx, Tableau, QlikView, SQL, databases); knowledge of statistical concepts is a plus! Technically savvy, comfortable facing off with Compliance and Engineering groups (Must work well in a global team, multi-tasking environment and under pressure). A very strong work ethic, and a willingness to learn and partner with others. The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper (i.e. great written and verbal communications skills) Since this role requires a candidate at the VP level, we will also expect: Demonstrable experience in end-to-end solutions. A track record of influence with senior stakeholders. Prior roles with management oversight duties, for candidates aspiring to be team leads. Knowledge of the financial industry and compliance or risk functions in particular would be welcome, but are not expectations. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2021. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

Position Overview: Working with the Finance Systems Manager, the role will ensure that ERP system is available and fit for purpose. The ERP Systems Developer will be developing the ERP system, providing comprehensive day-to-day support, training and develop the current ERP System for the future. Key Responsibilities: As a Sr. DW BI Developer, the candidate will participate in the design / development / customization and maintenance of software applications. As a DW BI Developer, the person should analyse the different applications/Products, design and implement DW using best practices. Rich data governance experience, data security, data quality, provenance / lineage. The candidate will also be maintaining a close working relationship with the other application stakeholders. Experience of developing secured and high-performance web application(s) Knowledge of software development life-cycle methodologies e.g. Iterative, Waterfall, Agile, etc. Designing and architecting future releases of the platform. Participating in troubleshooting application issues. Jointly working with other teams and partners handling different aspects of the platform creation. Tracking advancements in software development technologies and applying them judiciously in the solution roadmap. Ensuring all quality controls and processes are adhered to. Planning the major and minor releases of the solution. Ensuring robust configuration management. Working closely with the Engineering Manager on different aspects of product lifecycle management. Demonstrate the ability to independently work in a fast-paced environment requiring multitasking and efficient time management. Required Skills and Qualifications: End to end Lifecyle of Data warehousing, DataLakes and reporting Experience with Maintaining/Managing Data warehouses. Responsible for the design and development of a large, scaled-out, real-time, high performing Data Lake / Data Warehouse systems (including Big data and Cloud). Strong SQL and analytical skills. Experience in Power BI, Tableau, Qlikview, Qliksense etc. Experience in Microsoft Azure Services. Experience in developing and supporting ADF pipelines. Experience in Azure SQL Server/ Databricks / Azure Analysis Services Experience in developing tabular model. Experience in working with APIs. Minimum 2 years of experience in a similar role Experience with data warehousing, data modelling. Strong experience in SQL 2-6 years of total experience in building DW/BI systems Experience with ETL and working with large-scale datasets. Proficiency in writing and debugging complex SQLs. Prior experience working with global clients. Hands on experience with Kafka, Flink, Spark, SnowFlake, Airflow, nifi, Oozie, Pig, Hive,Impala Sqoop. Storage like HDFS , Object Storage (S3 etc), RDBMS, MPP and Nosql DB. Experience with distributed data management, data sfailover,luding databases (Relational, NoSQL, Big data, data analysis, data processing, data transformation, high availability, and scalability) Experience in end-to-end project implementation in Cloud (Azure / AWS / GCP) as a DW BI Developer Rich data governance experience, data security, data quality, provenance / lineagHive, Impalaerstanding of industry trends and products in dataops , continuous intelligence , Augmented analytics , and AI/ML. Prior experience of working in cloud like Azure, AWS and GCP Prior experience of working with Global Clients

About Navi Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences. Founders: Sachin Bansal & Ankit Agarwal Know what makes you a “Navi_ite” : 1.Perseverance, Passion and Commitment • Passionate about Navi’s mission and vision • Demonstrates dedication, perseverance and high ownership • Goes above and beyond by taking on additional responsibilities 2.Obsession with high quality results • Consistently creates value for the customers and stakeholders through high quality outcomes • Ensuring excellence in all aspects of work • Efficiently manages time, prioritizes tasks, and achieves higher standards 3.Resilience and Adaptability • Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility Role : ● Monitoring the delinquent account to ensure the achievement of Company standards ● Evaluation of stability of underwriting models and identifying policy actions to be taken to either increase approval rates for business growth or reduce it for high risk segments ● Develop and Maintain loss forecasting models and ECL provisioning required for accounting purpose ● Set up right portfolio monitoring and early warning alerting system to keep a check on health of our loan book ● Evaluate data required for decisions, identify sources of appropriate data, own up the sanity/accuracy of available data, ensure transformations for right decision making ● Define metrics through the business processes for clear measurability and to deep-dive into processes to identify areas of improvements ● Identify opportunities of improvement in product & process flows through exploratory analysis and Driving customer segmentation to come up with insights on customization for various customer groups ● Define analytical frameworks to gain insights on correlations/causality ● Work with the engineering & data platform team to drive data availability & reliability. Desired Candidate Profile : ● Experience in handling multiple stakeholders. ● Startup mindset. ● Team building skills ● Experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc) ● Understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc) ● Basic understanding of data platforms and ETL processes ● Ability to identify relevant data to solve business problems and (in)validate hypothesis ● (Good to have) Prior data modeling experience in R/Python and some classification and/or regression techniques ● (Good to have) Prior experience / understanding of lending/insurance/banking domain would be a plus Show more Show less

Job Title - GN-Insurance- Japan/German-Bilingual-Analyst Management Level: 11-Analyst Location: Gurugram, DDC1A Must-have skills: Retail Sales Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. As a part of the Insurance practice, you will leverage our industry experience, domain expertise and transformative technologies, to help insurers, reinsurers and insurance brokers thrive in a dynamic future.. Together, let’s redefine their operating models and power up their growth journey. Help us unlock new value in a disruptive world, with the following initiatives: Deliver assigned Insurance projects spanning areas such as claims transformation, distribution and marketing transformation, cost reduction, digital transformation, tech/ ops transformation, applied intelligence, analytics, automation and so on. expertise in Insurance value chain Support the leadership in business development and drafting appropriate responses to win new business for Accenture Manage relationships with internal and external stakeholders and help the team liaison with other groups for successful project delivery Build and leverage network within Accenture to bring the best of Accenture capabilities to the client Help grow the practice and attract the best talent Support asset development, contribute to thought leadership, staffing needs, and capacity building Bring your best skills forward to excel in the role: Strong consulting and technology acumen Expertise in insurance value chain spanning distribution, underwriting, policy, customer service Expertise in at least one of the LoBs (Life, P&C), and/ or sub-LOBs (worker’s comp, property, specialty, etc.) Good client engagement skills to be demonstrated during the entire project lifecycle Ability to produce high calibre reports, PoVs, market relevant assets and accelerators Good analytical skills to provide clarity to complex issues and gather data-driven insights Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic consulting environment Professional & Technical Skills: Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Industry certifications such as FLMI, ALMI, CPCU, AINS, FIII, desirable Functional certifications in analytics, machine learning, automation, desirable International work experience, and/or transferable work permit for countries like US or UK, would be a plus Proficiency in Microsoft Office suite, including PowerPoint, Excel, and data visualization tools, such as Power BI, Tableau, QlikView or Alteryx Experience in delivering complex transformation programs in Insurance would be preferred Experience in or around one or more among the following areas: Intelligent operations Intelligent Automation Platform implementation (Duck Creek, Guidewire or Salesforce) Analytics and machine learning Group/ Employee Benefits Digital strategy, digital marketing, customer experience What’s in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Additional Information: Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture Experience: 3-5Years Educational Qualification: Any Degree Show more Show less

Description Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun, and full of exciting new projects. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the Role: We are looking for a Data Scientist to join our Sales Operations team. The role will be based in our Bangalore, India office, reporting to the Manager, Sales Operations. The position will be responsible for sourcing, preparing, and analysing large amounts of raw data to find patterns that will enable the company to better understand and optimize sales operations. The role will be responsible for the design, implementation, and maintenance of sophisticated analytics programs, machine learning, and/or statistical methods to prepare data for use in predictive and prescriptive modelling. The ideal candidate needs to be highly analytical with a strong background and understanding in data analysis, math, and statistics. Critical thinking and problem-solving skills are essential. Experience with machine-learning and predictive analytics tools is required. Key Responsibilities: Build predictive models and machine-learning algorithms for sales forecasting, territory planning, quota allocation, and sales process optimization. Develop SKU level demand forecasts based on demand patterns, business trends, and advanced ML models/Predictive Analytics, and drive forecast accuracy and operations metrics. Identify valuable data sources and automate collection processes. Undertake preprocessing of structured and unstructured data Analyse large amounts of information to discover trends and patterns related to sales operations. Develop models and algorithms to optimize sales resource allocation and sales performance. Analyse sales data to identify opportunities for process improvements and cost optimization. Collaborate with sales teams to understand their data needs and provide insights to drive better decision-making. Present information using data visualization techniques. Communicating and collaborating cross-functionally throughout the entire company, including sales, finance, supply planning, pricing, and PLM teams. Inventory levels forecasting and excess/shortage of FG & RM identification using ML models. Make the existing sales ops processes scalable by identifying and implementing supply chain tools and automation. Skills Required: 5+ years of experience as a Data Scientist. Hands on experience in data manipulation using Python, AWS, SQL, MS Excel is a must. Expert level proficiency in Python and Predictive Analytics (proficient in application of ML concepts and forecasting techniques to solve supply chain problems). Understanding of machine-learning and operations research. SFDC, Oracle Cloud, QlikView/Tableau or Incorta experience preferred. B.Tech/Master’s required with knowledge of sales operations, demand forecasting, supply chain and experience in a product based industry. Very process-focused with excellent analytical and problem-solving skills and sound business judgment - comfortable with data-driven decision-making. Ability to work productively and independently in a dynamic, fast paced environment with exposure to executive staff. Bachelors BTECH/Master’s (CGPA – 7+/70%) with about 4-8 yrs of experience. Show more Show less

This role is essential for advancing the strategic objectives of the insurance actuarial function by implementing analytics and transformational initiatives. The team is primarily responsible for innovation, research & development. Utilizing high end analytical & technical skills, team members design models/methodologies tailored for actuarial reserving processes, as well as analyze financial data to generate actionable insights that aid decision-making. This position offers an exciting opportunity to participate in a range of analytics projectsdescriptive, diagnostic, predictive, and prescriptivewhile also focusing on Artificial Intelligence and cloud migration, thereby enhancing the organizations ability to adapt to emerging business needs. DISCOVER your opportunity What will your essential responsibilities include? Implementation of analytics projects and other transformational projects that directly impact the organization's strategic objectives. Run tools based in Python, R, SQL, and execute ETL processes to facilitate business deliverables, with a focus on future development work to drive actionable insights and business impact. Write high-quality, effective code that can be easily scaled across platforms using Python/R programming. Deepen the understanding of the business to contribute to other analytics initiatives, including predictive modeling, and collaborate on data-driven projects with cross-functional teams. Learn in-house software platforms used for actuarial reserving and manage their use in the processes, contributing to the enhancement of analytical capabilities. Manage quarterly/monthly/yearly financial data for MI reporting and collaborate with stakeholders to provide valuable insights and support decision-making. Partner with global technology teams to deliver changes to our data and processes to meet strategic goals, actively participating in transformative projects including move to the cloud. Demonstrate proactive communication with Business users, Development, Technology, Production Support, and Delivery Teams, and Senior Management to drive collaborative problem-solving and knowledge sharing. Develop and maintain process documentation to ensure transparency and knowledge transfer within the team and across stakeholders. Support ad-hoc activities to address emerging business needs and contribute to the agility of the team.You will report to Lead, AFR. SHARE your talent Were looking for someone who has these abilities and skills: Required Skills and Abilities: University Graduate (B.E/B.Tech/CS/IT/BSc). Relevant years of work experience, preferably in the insurance industry, financial services, or consultancy. Good knowledge of Statistics and mathematical functions. Good hands-on computer application skills, specifically python programming, SQL, Power BI & MS Excel. In-depth knowledge of Python software development, including frameworks, tools, and systems (NumPy, Pandas, Django, SciPy, PyTorch, etc.). Desired Skills and Abilities: Good to have knowledge of R programming (dplyr) and QlikView. Excellent analytical, research, and problem-solving skills. Understanding of cloud principles with good exposure to Microsoft Azure stack (Databricks, SQL DB etc.). Understanding of AI fundamentals including exposure to LLMs.

Description JD: Data Manager, Clinical Data Management 10-15 years industry experience Do you possess a mindset to accelerate Clinical Trials using Data and Analytics, do you believe in extreme disruption of the clinical data management and clinical operations process? If yes, Saama is looking out to hire you as we believe it should not take this long to get Drugs out to Market, we believe data and analytics powered by Machine Learning and Artificial Intelligence if put to proper use within Clinical Operations and Data Management organizations can bring significant time and outcome savings. We have re-imagined data-management processes and helped organizations significantly bring down the time it takes to lock a database by up to 95% for Vaccine studies, we don’t want to stop here, we want to recognize process inefficiencies in clinical operations and data management and disrupt them. We are firm believers in re-imagining data management and analytics, what we have done so far is just scratching the surface, a lot more has to be done with you on our team leading some of these transformational initiatives. Product Owner acts as Data Management SME and serves as the main point of contact for customers to implement clinical solutions. You will work closely with Clinical trial sponsors, CROs at the executive and study team level to deliver Saama solutions to our customers. Responsibilities Drive customer implementations to successful launch by providing data management inputs wherever necessary. Work with implementation resources, product, and engineering teams onshore and offshore to deliver innovative solutions to customers. Consult with business leaders to develop and understand the complex and diverse data management needs required for the project. Understand the role of the project in the clinical landscape and determine how changing business needs will affect the project. Collaborate with the customer and internal resources to understand usage and adoption trends and impact increased application use. Partner with Business development and customer success managers to implement solutions, estimate effort and help set customer expectations. Partner with Product Management to help align real-world customer feedback with the product roadmap. Perform the industry research to identify clinical development needs. Requirements Bachelor or master’s degree in computer science or life science related discipline with IT/CRO/Pharma experience. Experience working with EDC, IRT systems and integrations, third party data handling and other clinical systems implementation. Experience in Clean patient tracker, data review, missing pages, data quality checks, 3rd party data reconciliation and use of business intelligence tools like Cognos, Oracle, BI, Tableau, Spotfire, QlikView, Informatica. Familiar with clinical trial data and related workflows. Good understanding of CDISC standards (CDASH, SDTM) and data mappings/transformations. Programming knowledge in SQL or SAS desired. Excellent understanding of common industry standard business practices related to clinical trials (study set up, study conduct, clinical operations process, data management review and reporting). Excellent at translating customer business requirements into enterprise solutions. Proven track record of driving customer success and operating at the executive and department levels within complex customer environments. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers. Physical Demands This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. EEO Saama Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training. Show more Show less

Tableau Analytics Specialist Job Summary: We are seeking a highly skilled and motivated Tableau Analytics Specialist to join our team. The ideal candidate will have a strong background in data analysis, visualization, and business intelligence. They will be responsible for designing, developing, and maintaining Tableau dashboards and reports to provide actionable insights to various stakeholders. Key Responsibilities: Dashboard Development: Design and create visually appealing and interactive Tableau dashboards and reports. Translate business requirements into effective data visualizations. Data Analysis: Analyze complex datasets to identify trends, patterns, and insights. Perform data validation and ensure data quality and accuracy. Stakeholder Collaboration: Work closely with business stakeholders to understand their requirements and deliver insights that drive decision-making. Provide training and support to end-users on Tableau functionalities and best practices. Data Management: Connect to various data sources, including databases, spreadsheets, and cloud services. Optimize data extraction and transformation processes to enhance performance. Continuous Improvement: Stay updated with the latest Tableau features and industry trends. Propose and implement enhancements to existing dashboards and reporting processes. Qualifications: Education: Bachelor's degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field. Experience: Minimum of 3 years of experience in data visualization and analysis using Tableau. Proven experience in creating complex and dynamic Tableau dashboards. Experience with SQL and database management. Skills: Proficiency in Tableau Desktop, Tableau Server, and Tableau Prep. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Knowledge of data warehousing concepts and ETL processes. Preferred: Experience with other data visualization tools like Power BI or QlikView. Certification in Tableau (e.g., Tableau Desktop Specialist, Tableau Desktop Certified Associate).

Position Title –Data Analytics Manager Location – Bengaluru-Corporate Office Total Experience of 4 to 10 Years Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering Direct Reporting – Nil (Individual Contributor) Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail Key Responsibilities:- Data Analysis and Reporting: Be the central point for all business and performance analytics Oversee the collection, processing, and interpretation of large datasets Manage all MIS and reports for various functions and ensure timely delivery of reports to each function. Develop self-serve BI tools and automated reporting for functional leaders Identify trends, patterns, and insights to drive strategic decision-making Build and maintain executive dashboards to monitor business health and performance metrics. Data Strategy Development: Develop and implement data analytics strategies to support business objectives. Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance. Collaborate with other departments to understand their data needs and provide actionable insights. Team Management: Led and mentored a team of data analysts and MIS experts Ensured projects were completed on time and within budget Foster a collaborative and innovative work environment Tool and System Management: Implement and maintain data analytics tools and systems Ensure the efficient operation of data collection and analysis processes Troubleshoot and resolve any issues related to data systems Use statistical methods, predictive modeling, and data mining techniques to inform decision-making Provide ROI analysis on transformation and cost-saving initiatives Stakeholder Communication: Act as the analytics point of contact for strategy-related initiatives Work with product, IT, supply chain, and marketing teams to gather data and align KPIs. Present insights and recommendations to senior leadership in a clear and compelling manner Other Responsibilities: Delivery of data services to support marketing activities Program and develop Extract, Transform and Load programs to support integration Ensure data quality within the database - Data Loading and error handling User Acceptance Test to ensure Quality in deliverables Produce high standard of documentation on data flows and processes Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables. Assess client and 3rd party data sources and new data capture opportunities to enhance existing data. Defined and set up reporting and analysis processes and deliverables that meet client objectives. Key Performance Indicator:- Data Accuracy : Accuracy and reliability of data collected and analyzed Insight Utilization : Percentage of business decisions influenced by data insights Project Timeliness : Completion of data projects within the agreed timelines Team Performance : Productivity and development of the data analytics team Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery) Remarks:- Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.) Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets. Knowledge of data management best practices and regulatory requirements. Knowledge of data management best practices and regulatory requirements. Good Communication & Influencing Skills. Looking for stable candidates only (Frequent job changes will be not considered). Local Candidates will be preferred Show more Show less

KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets, and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, and Vadodara. KPMG in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment Job Summary Projects in Role Governance would include Identity Access Governance (IAG) assessment, Role based Access control (RBAC) design and functional assistance in IAG solution implementation along with providing services to run IAG operations for client organizations. A bachelor s degree in engineering and 3-5 years of related work experience; or a master s or MBA degree in business, computer science, information systems.Knowledge of access management concepts and technologies such as single sign on (SSO), multi-facto authentication (MFA) mechanism.Exposure to internal audits, compliance assessments, and regulatory reporting related to access control.Exposure to automation data analytics tools such as QlikView/Qlik sense, ACL, Power BI will be an advantageFamiliarity with ERP systems, financial applications and other business systems.Understanding of RBAC and SOD principles and risk management practice.Knowledge of IT security concepts and access management tools.Sector specific knowledge such as FS (banking/NBFC) is an added advantage.Proficiency with Microsoft Word, Excel and other MS Office toolsProfessional certifications (e.g., CISA, CISM, CISP or IAM-Specific certifications) can be advantageous and preferred.A team player and strong self-directed work habits, exhibiting initiative, drive, creativity, maturity, self-assurance, and professionalism Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their colour, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavour for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Participate in client meetings and discussions to understand user life cycle processes for access management and determine IAG maturity in their environment.Demonstrate knowledge on RBAC and segregation of duties principles and conduct meetings with client stakeholders, to perform identity and access assessments and design RBAC including Access Control Matrices (ACM) and Segregation of Duty (SoD) Matrix.Collaborate with stakeholders to evaluate SOD conflicts in consultation with Business teams to resolve identified conflicts and/or implementing mitigating controls to address risk.Assistance in formal evaluation of potential IAG solutions depending on various identity needs of clients.

Position: Business Analytics Specialist – Data Automation & Visualization Location: Kolkata Employment Type: [Full-time] Department: Business Analytics About The Role We are seeking a highly skilled and motivated Business Analytics Specialist to join our dynamic team. This role is key to driving automation, advanced reporting, and insightful data analysis across all functional areas. The ideal candidate will be passionate about data, visualization, and delivering actionable insights that support strategic decision-making. Key Responsibilities Automate recurring reports and develop visually compelling, insight-driven dashboards. Support functional areas such as Finance, HR, Procurement, Strategy, and Commercial Operations with relevant models and reporting tools. Build and maintain data models using tools like Power BI, incorporating star schema and performance optimization best practices. Transition existing QlikView reports to Power BI, leveraging experience with association modeling. Collaborate with stakeholders to understand goals and translate them into clear data solutions. Use SQL in SSMS to extract, interpret, and transform data efficiently. Work with PySpark and Azure dataflows to transform data across bronze, silver, and gold layers. Assist in project scoping, requirement gathering, data extraction, transformation, and visualization delivery. Provide after-hours support when required and attend all relevant stakeholder meetings. Contribute to the continuous improvement and automation of analytics and reporting functions. Technical Skills Required Proficient in SQL and SSMS Advanced knowledge of Power BI, DAX, and Power Query Experience with PySpark and Azure Data Factory pipelines Familiarity with QlikView and migration to Power BI Exposure to Power Automate and automation tools Understanding of Agile development and project management methodologies Strong data modelling capabilities and visualization skills Soft Skills & Attributes Strong communication and interpersonal skills Highly organized with attention to detail Proactive, self-motivated, and result-oriented Ability to manage time and deliver under pressure Team player with a flexible and creative mindset Strong customer orientation and stakeholder management skills Passion for data analysis and generating insights Preferred Experience 3–6 years in Business Analytics or related role Experience working across multiple business domains Proven track record of delivering automated and strategic data solutions Skills: sql,automation,advanced,azure dataflows,power query,visualization,azure data factory,qlikview,dax,power automate,pyspark,sql,,power bi,data,agile methodologies,ssms,analytics Show more Show less

Job Description Promote & ensure high-quality, fit-for-purpose data as part of Chief Data Office, shaping industry-leading data management strategies The successful candidate will join a team focused on delivering business impact through transformation of Data Quality management. The role will require working with stakeholders across the Corporate & Investment Bank, other Lines of Business and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units. This role provides an outstanding opportunity for the selected candidate to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs. As a Data Management Associate within the Chief Data Office, you will play a crucial role in advocating and ensuring top-notch, purpose-specific data. You will have the chance to shape top-tier data management strategies and collaborate with stakeholders across the Corporate and Investment Bank, other Lines of Business, and Corporate Functions. Your role will require demonstrating a robust understanding of data governance, data quality, data lineage, and metadata management concepts. You will offer data quality advisory services on specific high-profile data issues/initiatives through concentrated project management and in-depth business analysis. This role offers an exceptional opportunity to join a high-profile team at JPMorgan Chase and assume a partnership role, supporting one of the Bank's most significant change programs. Job Responsibilities Demonstrate strong understanding of data governance, data quality, data lineage and metadata management concepts Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis Implement and support Data Quality (DQ) practices across the CIB: Leverage data lineage documentation to trace data flows associated with issues Build strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts Accelerate data quality issue level root cause analysis and resolution through effective program governance, process mapping and data deep-dives Query data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues Discuss and agree technical resolutions with technology teams to remediate DQ issues Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption. Set up data profiling and DQ rules leveraging DQ tools like Collibra, Informatica and other emerging tools Leverage productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences Required Qualifications, Capabilities And Skills 7+ years’ experience in Financial Services with Data analytics/Project Management/ Business Analysis background Experience in Data quality, Data lineage and Metadata management Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.) Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard Basic understanding of the company's business practices and familiarity with the company's products and services Preferred Qualifications, Capabilities And Skills Experience in CIB and CDO/Data Quality organization Experience in querying database/data stores for data analysis. Experience in producing PowerPoint presentations for senior audiences Exposure to tools/technologies such as Alteryx/Tableau/SQL/Informatica/Collibra JPMorgan Chase is an Equal Opportunity and Affirmative Action Employer, M/F/D/V About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world. Show more Show less

Position: Business Analytics Specialist – Data Automation & Visualization Location: Kolkata Employment Type: [Full-time] Department: Business Analytics About The Role We are seeking a highly skilled and motivated Business Analytics Specialist to join our dynamic team. This role is key to driving automation, advanced reporting, and insightful data analysis across all functional areas. The ideal candidate will be passionate about data, visualization, and delivering actionable insights that support strategic decision-making. Key Responsibilities Automate recurring reports and develop visually compelling, insight-driven dashboards. Support functional areas such as Finance, HR, Procurement, Strategy, and Commercial Operations with relevant models and reporting tools. Build and maintain data models using tools like Power BI, incorporating star schema and performance optimization best practices. Transition existing QlikView reports to Power BI, leveraging experience with association modeling. Collaborate with stakeholders to understand goals and translate them into clear data solutions. Use SQL in SSMS to extract, interpret, and transform data efficiently. Work with PySpark and Azure dataflows to transform data across bronze, silver, and gold layers. Assist in project scoping, requirement gathering, data extraction, transformation, and visualization delivery. Provide after-hours support when required and attend all relevant stakeholder meetings. Contribute to the continuous improvement and automation of analytics and reporting functions. Technical Skills Required Proficient in SQL and SSMS Advanced knowledge of Power BI, DAX, and Power Query Experience with PySpark and Azure Data Factory pipelines Familiarity with QlikView and migration to Power BI Exposure to Power Automate and automation tools Understanding of Agile development and project management methodologies Strong data modelling capabilities and visualization skills Soft Skills & Attributes Strong communication and interpersonal skills Highly organized with attention to detail Proactive, self-motivated, and result-oriented Ability to manage time and deliver under pressure Team player with a flexible and creative mindset Strong customer orientation and stakeholder management skills Passion for data analysis and generating insights Preferred Experience 3–6 years in Business Analytics or related role Experience working across multiple business domains Proven track record of delivering automated and strategic data solutions Skills: sql,automation,advanced,azure dataflows,power query,visualization,azure data factory,qlikview,dax,power automate,pyspark,sql,,power bi,data,agile methodologies,ssms,analytics Show more Show less

Overview We are seeking a skilled Associate Manager PowerBI to join our dynamic team. The ideal candidate will have a strong background in data analysis, reporting, and visualization. This role involves working closely with various departments to turn data into critical information and knowledge that can be used to make sound business decisions. Responsibilities Design, develop, and maintain PowerBI reports and dashboards that support business requirements. Collaborate with stakeholders to understand their needs and translate them into meaningful data insights. Ensure data accuracy and integrity in reports and dashboards. Optimize data sources and PowerBI performance. Provide training and support to end-users on PowerBI usage and best practices. Identify opportunities to improve data processes and implement solutions. Work with data teams to integrate PowerBI with various data sources. Stay up-to-date with the latest PowerBI features and updates. Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field. Proven experience as a PowerBI Analyst or in a similar role. Strong proficiency in PowerBI, including report and dashboard creation, data modeling, and DAX. Experience with SQL and other data manipulation languages. Excellent analytical and problem-solving skills. Strong communication skills, both written and verbal. Ability to work collaboratively in a team environment and manage multiple tasks simultaneously. Preferred Skills Minimum 7+ Years of experience Experience with other BI tools such as Tableau or QlikView. Knowledge of data warehousing and ETL processes. Familiarity with programming languages such as Python or R. Show more Show less

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000 experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience 3+years. Strong working experience in Data Analysis. Have experience in AWS cloud, Qlik Sense ,QlikView ,Thoughtspot Strong expertise in Qlik Sense and QlikView for data visualization and dashboard development. Hands-on experience with AWS cloud technologies in a data analytics context. Proficient in SQL with the ability to write complex queries for data analysis. Experience using ThoughtSpot for business intelligence and ad-hoc reporting. Hands on experience in Python for data manipulation and automation. Exposure to ITSM tools such as ServiceNow or Jira. Work collaboratively with Business Analysts and stakeholders to define data and reporting requirements. Should have good communication and customer handling skills. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements.