88 Quicksight Jobs

Navi is a rapidly growing financial services company in India that offers a range of products including Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. The mission of Navi is to provide digital-first financial solutions that are easy to use, accessible, and affordable. Leveraging our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to creating exceptional customer experiences. As a Navi_ite, you should embody the following qualities: - Perseverance, Passion, and Commitment: Demonstrate dedication, passion for Navi's mission, and ownership by going above and beyond in your responsibilities. - Obsession with high-quality results: Consistently deliver value to customers and stakeholders by producing high-quality outcomes, ensuring excellence in all work aspects, and achieving high standards through efficient time management. - Resilience and Adaptability: Quickly adapt to new roles, responsibilities, and changing circumstances while demonstrating resilience and agility. The role involves: - Monitoring delinquent accounts to meet Company standards - Evaluating underwriting model stability and recommending policy actions to increase approval rates or reduce risk - Developing and maintaining loss forecasting models and ECL provisioning for accounting purposes - Implementing a portfolio monitoring and early warning alert system for loan book health - Utilizing data for decision-making, ensuring data accuracy, defining metrics for process improvement, and identifying areas for product and process enhancement through customer segmentation and analysis - Working with the engineering and data platform team to ensure data availability and reliability Desired Candidate Profile: - Experience in managing multiple stakeholders - Startup mindset - Team building skills - Proficiency in SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight, etc.) - Understanding of basic statistical concepts and data platforms - Ability to identify relevant data for solving business problems and validating hypotheses - Prior experience in data modeling in R/Python and classification/regression techniques (Good to have) - Prior experience/understanding of lending/insurance/banking domain (Good to have),

Description Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online By giving customers more of what they want low prices, vast selection, and convenience Amazon continues to grow and evolve as a world-class e-commerce platform, Do you have solid analytical thinking, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide needThen SmartCommerce is the team for you We are looking for top notch Business Intelligence Engineer to be part of our analytics team, The ideal candidate will be curious, have attention to detail, be energized by challenging entrepreneurial environment, be comfortable thinking big while also diving deep Are you a smart, hungry, flexible, and world-class analytics professional excited by the challenge of launching a new business initiative for Amazon SmartCommerce team is looking for Business Intelligence Engineer to be part of a new team being built from the ground up They will be primarily working on our product SmartBiz SmartBiz by Amazon is a one-stop shop for Indian sellers to fulfill their online selling needs Whether a small business, an entrepreneur, or a neighborhood store, a seller can now create their own e-commerce store within minutes and start showcasing and selling their products online, Responsible for designing, building and maintaining complex data solutions for Amazon's SmartCommerce businesses Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies Makes efficient use of resources ( e-g , system hardware, data storage, query optimization, AWS infrastructure etc) Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient Makes enhancements that improve teams data architecture, making it better and easier to maintain ( e-g , data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools ( e-g Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods ( e-g t-test, Chi-squared) Experience with scripting language ( e-g , Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Karnataka A66 Job ID: A3033817 Show

Description AOP (Analytics Operations and Programs) team powers the Data and Insights for ROW Operations Team is responsible for development of business-critical BI and analytics solutions for Operations transcending all miles (barring Supply chain), This role is the single-threaded leader responsible for building reporting and analytics capabilities for Ship with Amazon for NA and EU and ROW finance which includes countries IN, AU, SG, MX, BR and AMET The incumbent is responsible to enable Operations teams meet their respective S-team/VP goals and charters The incumbent is a trusted-partner to respective Operations teams by sharing business-leading insights and prescriptive actions requiring the incumbent to be fully-aware of Org-level strategic direction, key priorities and challenges [LP Indexed: Earn trust] Primary objective of this role is to provide visibility on Operations performance and enable Operations to make data-driven decisions through developing i) Reporting capabilities involving development of automated and self-service reports/dashboards; ii) Analytics Capabilities involving building of tools, science-based artefacts and defect attribution/bridges Specifically, the role is intended to i) Own business critical (xBR, Peak, Contingency) reporting; ii) Be a partner in enabling launch of new programs/features/products by creating right metrics that showcase its adoption and success; iii) Build capabilities that benchmark and improve operations performance iv) Build critical BI technology/tools aiding metric optimization, simulations, real-time tracking and alerting; v) Build defect attribution bridges for key operations metrics to enable goal setting and tracking; vi) Build datasets on Operations performance for ROW finance and enable WBR reporting Another critical objective of this role is to drive BI Artefacts and Practice Standardization for ROW This will involve i) Understand landscape and define the BI Standards; ii) Drive ROW-level Standardization of Key Artefacts; iii) Influence and execute on this agenda by partnering with other teams; iv) Set BI Engineering standards and practice for us to scale support non-linearly, A day in the life A day in the life driving parity across marketplaces, standardization and centralized development of capabilities are the guiding principles to scale the support non-linearly to newer scope and marketplaces The incumbent is staffed with a team of ~10 members spread across India (Blr, Hyd) locations The incumbent needs to decide right mix of job roles for the scope and right locations considering HC costs and outcomes The incumbent should actively provide career choice opportunities in line with the emerging aspirations of team members to have diverse exposure to analytics technologies and laterally move members to roles with high technical complexity ( e-g , BA -> BIE, BIE -> DS) The incumbent needs to keep the team motivated, build and retain expertise, codify processes for new employees to scale up and attract talent into the team Given wide number of stakeholders, incumbent should balance their needs while maintaining work-life harmony of team members, should drive a culture of celebrating wins (small and large) and recognition, and foster strong collaboration across members [LP: Hire and Develop, Strive to be earths best employer], About the teamAOP (Analytics Operations and Programs) team powers the Data and Insights for ROW Operations Team is responsible for development of business-critical BI and analytics solutions for Operations transcending all miles The proposed role within AOP is a critical one requiring to lead FC Analytics for Row Geographies Basic Qualifications 10+ years of business intelligence and analytics experience 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience Experience in delivering results managing a business intelligence or analytics team, including employee development and performance management Experience working directly with business stakeholders to translate between data and business needs Experience with data visualization using Tableau, Quicksight, or similar tools Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding Preferred Qualifications 10+ years of working with very large data warehousing environment experience 10+ years of quantitative and qualitative data science/business intelligence with significant business impact experience Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Karnataka Job ID: A3035212 Show

Description Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services, Our vision is to create business value by delivering high quality data at scale We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality, To support our vision, we need exceptionally talented, bright, and driven people Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members If you have what it takes then this is your chance to work hard, have fun, and make history, Responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 10 to 15 associates having expertise in one or more processes/functions and proficient in languages other than English You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required Your key responsibilities will include (but not limited to) the below: Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities Manages escalations; analyzes data; highlights trends, gaps, etc; and reports key metrics Prepares data in business meetings/reviews and presents to senior managers and stakeholders Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management Owns and prioritizes work allocation based on business needs with a daily/monthly frequency Owns the output quality of the process managed Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/inscope operational areas Participates and provides adequate support in business reviews with mid-level and senior leadership Participates in newprocess onboarding, i-e , new process/ experiments with complete documentation Participates in or owns modules of solutionbuilding in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism Provides regular coaching and feedback to direct reports Devises and implements performance improvement plans for associates as applicable Identifies and works with top performers for talent development and creates a leadership pipeline for own level Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Basic Qualifications Graduate degree in any discipline 4-6 yearswork experience with at least 1 year in managing people directly Demonstrated high attention to detail and proven ability to manage multiple competing priorities simultaneously Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback Ability to work cross-functionally and with employees across teams with different skill sets Proven ability to report and analyze data Confident in using Microsoft Package (especially Excel at Intermediate to Advanced level) Confident to work with large volumes of data Demonstrated ability to initiate and drive process improvements Preferred Qualifications Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Karnataka A66 Job ID: A2899238 Show

Description Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services, Our vision is to create business value by delivering high quality data at scale We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality, To support our vision, we need exceptionally talented, bright, and driven people Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members If you have what it takes then this is your chance to work hard, have fun, and make history, Responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 10 to 15 associates having expertise in one or more processes/functions and proficient in languages other than English You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required Your key responsibilities will include (but not limited to) the below: Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities Manages escalations; analyzes data; highlights trends, gaps, etc; and reports key metrics Prepares data in business meetings/reviews and presents to senior managers and stakeholders Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management Owns and prioritizes work allocation based on business needs with a daily/monthly frequency Owns the output quality of the process managed Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/inscope operational areas Participates and provides adequate support in business reviews with mid-level and senior leadership Participates in newprocess onboarding, i-e , new process/ experiments with complete documentation Participates in or owns modules of solutionbuilding in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism Provides regular coaching and feedback to direct reports Devises and implements performance improvement plans for associates as applicable Identifies and works with top performers for talent development and creates a leadership pipeline for own level Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Basic Qualifications Graduate degree in any discipline 4-6 yearswork experience with at least 1 year in managing people directly Demonstrated high attention to detail and proven ability to manage multiple competing priorities simultaneously Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback Ability to work cross-functionally and with employees across teams with different skill sets Proven ability to report and analyze data Confident in using Microsoft Package (especially Excel at Intermediate to Advanced level) Confident to work with large volumes of data Demonstrated ability to initiate and drive process improvements Preferred Qualifications Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Karnataka A66 Job ID: A2899238 Show

Description Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerceAre you an experienced, entrepreneurial leader with a strong work ethicIf yes, this opportunity will appeal to you, IN Consumer BI Reporting and Analytics (COBRA) team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for building BI platform & team and supporting key decision making across the group Youll analyze large amounts of data, discover and solve real world problems, build metrics and business cases around key projects and, most of all, be an integral part of creating a better customer and seller experience, We are looking for customer obsessed, data driven entrepreneurs to join our growing team Solve some of the hardest problems for our customers and Sellers If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, Amazon in might just be the place for you The Business Intelligence Engineer is responsible for driving deep insights about Amazon Business and driving continuous improvement using the analysis The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems, The BIE will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of the P3P programs The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program, Develop and streamline necessary dashboards and one-off analyses, providing ability to surface business-critical KPIs, monitor the health of metrics and effectively communicate performance, Partner with stakeholders and other Business Intelligence teams to acquire necessary data for robust analysis, Convert data into insights including implications and recommendations that are specific and actionable for the P3P team and across the business, Partner with other analysts as well as data engineering and technology teams to support building a best-in-class dashboards and data infrastructure, Communicate insights using data visualization and presentations to stakeholders The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail, Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools ( e-g Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods ( e-g t-test, Chi-squared) Experience with scripting language ( e-g , Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ASSPL Karnataka Job ID: A3035040 Show

A career within Financial Markets Business Advisory services will provide you with the opportunity to contribute to a variety of audit, regulatory, valuation, and financial analyses services to design solutions that address clients" complex accounting and financial reporting challenges, as well as their broader business issues. To really stand out and make fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, gives us a single set of expectations across our lines, geographies, and career paths. It provides transparency on the skills required as individuals to be successful and progress in our careers, now and in the future. Responsibilities As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Invite and give in the moment feedback in a constructive manner. - Share and collaborate effectively with others. - Identify and make suggestions for improvements when problems and/or opportunities arise. - Handle, manipulate, and analyze data and information responsibly. - Follow risk management and compliance procedures. - Keep up-to-date with developments in the area of specialism. - Communicate confidently in a clear, concise, and articulate manner - verbally and in the materials produced. - Build and maintain an internal and external network. - Seek opportunities to learn about how PwC works as a global network of firms. - Uphold the firm's code of ethics and business conduct. We are seeking a highly motivated Data Engineer - Associate to join our dynamic team. The ideal candidate will have a strong foundation in data engineering, particularly with Python and SQL, and exposure to cloud technologies and data visualization tools such as Power BI, Tableau, or QuickSight. The Data Engineer will work closely with data architects and business stakeholders to support the design and implementation of data pipelines and analytics solutions. This role offers an opportunity to grow technical expertise in cloud and data solutions, contributing to projects that drive business insights and innovation. Key Responsibilities Data Engineering: - Develop, optimize, and maintain data pipelines and workflows to ensure efficient data integration from multiple sources. - Use Python and SQL to design and implement scalable data processing solutions. - Ensure data quality and consistency throughout data transformation and storage processes. - Collaborate with data architects and senior engineers to build data solutions that meet business and technical requirements. Cloud Technologies - Work with cloud platforms (e.g., AWS, Azure, or Google Cloud) to deploy and maintain data solutions. - Support the migration of on-premise data infrastructure to the cloud environment when needed. - Assist in implementing cloud-based data storage solutions, such as data lakes and data warehouses. Data Visualization - Provide data to business stakeholders for visualizations using tools such as Power BI, Tableau, or QuickSight. - Collaborate with analysts to understand their data needs and optimize data structures for reporting. Collaboration And Support - Work closely with cross-functional teams, including data scientists and business analysts, to support data-driven decision-making. - Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery. - Document processes, data flows, and infrastructure for team knowledge sharing. Required Skills And Experience - 0+ years of experience in data engineering, working with Python and SQL. - Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred. - Familiarity with data visualization tools (e.g., Power BI, Tableau, QuickSight) is a plus. - Basic understanding of data modeling, ETL processes, and data warehousing concepts. - Strong analytical and problem-solving skills, with attention to detail. Qualifications - Bachelor's degree in Computer Science, Data Science, Information Technology, or related fields. - Basic knowledge of cloud platforms and services is advantageous. - Strong communication skills and the ability to work in a team-oriented environment.,

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. General Summary Preferred Qualifications 3+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,) Experience with Big Data tools , platforms and architecture with solid working experience with SQL Experience working in a very large data warehousing environment, Distributed System. Solid understanding on various data exchange formats and complexities Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets Strong data visualization skills Basic understanding of Machine Learning; Prior experience in ML Engineering a plus Ability to manage on-premises data and make it inter-operate with AWS based pipelines Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus Education Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline Preferred QualificationsMasters in CS/ECE with a Data Science / ML Specialization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field OR PhD in Engineering, Information Systems, Computer Science, or related field. 3+ years of experience with Programming Language such as C, C++, Java, Python, etc. Develops, creates, and modifies general computer applications software or specialized utility programs. Analyzes user needs and develops software solutions. Designs software or customizes software for client use with the aim of optimizing operational efficiency. May analyze and design databases within an application area, working individually or coordinating database development as part of a team. Modifies existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Principal Duties and Responsibilities: Completes assigned coding tasks to specifications on time without significant errors or bugs. Adapts to changes and setbacks in order to manage pressure and meet deadlines. Collaborates with others inside project team to accomplish project objectives. Communicates with project lead to provide status and information about impending obstacles. Quickly resolves complex software issues and bugs. Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions. Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently. Participates in technical conversations with tech leads/managers. Anticipates and communicates issues with project team to maintain open communication. Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks. Prioritizes project deadlines and deliverables with minimal supervision. Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues). Writes readable code for large features or significant bug fixes to support collaboration with other engineers. Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner. Unit tests own code to verify the stability and functionality of a feature. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

About The Role Skill required: Procure to Pay - Master Data Management (MDM) Designation: Procure to Pay Operations Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.Reporting Background (Domain Experience)Able to understand and produce SLAs, KPIs & KRIs, Daily, Weekly and Monthly ReportsExpert in MS-Advance Excel (including advanced formulas, pivot tables, etc.), MS-PowerPoint, MS-Wordboosting vendor compliance, cutting savings erosion, improving discount capture using preferred suppliers, and in confirming pricing and terms prior to payment. Responsible for accounting of goods and services, through requisitioning, purchasing and receiving. Also look after order sequence of procurement and financial process end to end. The Accounts Payable Processing team focuses on designing, implementing, managing and supporting accounts payable activities by applying the relevant processes, policies and applications. The team is responsible for timely and accurate billing and processing of invoices, managing purchase and non-purchase orders and two-way and three-way matching of invoices.Architect master data solutions across platforms to consolidate content, synchronize data, provide centralized maintenance of unified data, enable rich product content management and print publishing as well as to synchronize global data ensuring consistency and control of master data elements. What are we looking for 3. Risk Management Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shiftsReporting Background (Domain Experience)Able to understand and produce SLAs, KPIs & KRIs, Daily, Weekly and Monthly ReportsExpert in MS-Advance Excel (including advanced formulas, pivot tables, etc.), MS-PowerPoint, MS-WordBI Tool Exposure and Dashboard creation Experience with at least one Business Intelligence (BI) tool and dashboard creation (e.g., PowerBI, Tableau, or AWS QuickSight).Database knowledge should have good understanding in SQL query and MS-Access Database for data extraction, manipulation, and reportingG-Suit exposure, Advance Excel, and Tableau Qualification Any Graduation

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations. Experience in retail finance or Credit card finance within a bank is a big plus. You will perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives. You will create and maintain dashboards to track key business P&L metrics. Providing informative business financial information and coordinating business financial planning and budget management will be part of your responsibilities. Partnering effectively with finance, marketing, technology, and business teams is crucial. You will present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills include excellent knowledge of SQL and the ability to write complex SQL queries. Experience in using data extraction and data analysis tools like SQL/Pyspark SQL/Alteryx/Python/SAS is necessary. A minimum of 3 years of experience working on analytical projects involving product analysis and statistical modeling is required. Good knowledge of statistical modeling techniques related to time series forecasting, regression (linear/logistic), ML models like XGBoost, and NLP is essential. Experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual Analytics, Streamlit, etc., is preferred. Excellent communication (verbal and written) skills, proficiency in Microsoft Office (especially Excel), and a basic understanding of cloud ops on AWS are necessary. Preferred qualifications, capabilities, and skills include a Bachelor's degree in Engineering, with CFA/FRM/MBA (Finance) being an advantage but not mandatory.,

As a Senior UX Researcher, you will be instrumental in elevating user experience by leveraging data and research insights strategically. Your primary responsibility will involve close collaboration with the UX team and cross-functional partners to infuse a rigorous research perspective into strategic decisions that drive value for both users and the business. To excel in this role, we are seeking a candidate with over 5 years of experience in an in-house research team or relevant work environment, along with a degree in a relevant discipline. Proficiency in both quantitative and qualitative research methods, as well as the ability to write comprehensive reports and internal communications, are essential. Strong communication and analytical skills, along with a proven track record of independent work and cross-functional collaboration, are key attributes we are looking for. Experience with agile processes and delivery models, coupled with a meticulous approach to documentation and organization, will be highly valued. Familiarity with tools such as Pendo, User Testing, Hotjar, Jira, and others listed is preferred. Additional points will be awarded for SaaS experience and a flexible mindset comfortable with ambiguity. In this role, you will drive user-centric improvements by leading initiatives that align solutions with user needs and business objectives. You will champion research in strategic decisions, ensuring evidence-based perspectives guide solutions. Supporting the UX team, you will integrate research insights into design solutions, streamline workflows, and maintain best practices for collaboration and documentation. Your responsibilities will also include knowledge sharing, shaping UX strategy, conducting in-depth research, staying abreast of industry trends, and advocating for research and design excellence across the organization. Building strong relationships and fostering a collaborative environment for growth, innovation, and excellence within the UX team will be vital to your success in this role.,

The role of Risk Investigator I at TekWissen involves carrying out the vision and mission of the TERA team to prevent, detect, and investigate potential fraud and financial abuse within the company. As a part of the team, you will be responsible for performing investigations and deep dives in a timely manner, communicating recommendations and findings to management and other stakeholders. Additionally, you will review employee expense reimbursements and corporate card spend for compliance with the client's Travel and Expense reimbursement policy. Your responsibilities will include identifying and defining issues and root causes related to potential fraud and financial abuse, collaborating with various operations teams to enhance their processes. You will need to adhere to the client's policies and procedures on expense reimbursement, corporate cards, and Business Code of Conduct. Moreover, you will be expected to implement operational program controls by creating project plans, establishing SOPs, process controls, and coordinating workstreams as necessary. As a Risk Investigator I, you will play a crucial role in identifying and escalating gaps in existing fraud prevention/detection tools and risk assessment methodology. You will drive improvement projects to develop mechanisms within the TERA team to prevent and detect fraud, abuse, and waste in a timely manner. Your insights and recommendations will contribute to product and technology roadmap discussions. To be considered for this role, you must have a minimum of 5 years of relevant experience in risk management areas such as internal/external audit, risk management, or investigation. Proficiency in data analysis using tools like Excel, VBA, SQL, or Python is essential. Preferred qualifications include prior experience in expense reimbursement audit, corporate card fraud, employee investigations, conflict of interest, or forensic investigation. Having a background in Forensic or holding a CFE certification would be advantageous. The ideal candidate will possess excellent organizational and prioritization skills, with the ability to manage multiple tasks simultaneously. Strong leadership, analytical skills, and the capacity to work both independently and collaboratively in a fast-paced environment are essential. Effective written and verbal communication skills are crucial, including the ability to engage comfortably with internal and external stakeholders. Proficiency in forensic data analysis, SQL, Python, and visualization tools like Tableau or QuickSight is desirable. Candidates with an MBA/Postgraduate degree in finance or professional qualifications such as Chartered Accountant/Certified Fraud Examiner are encouraged to apply. TekWissen Group is an equal opportunity employer committed to promoting workforce diversity.,

You will be working as a Business Intelligence Engineer III in Pune on a 6-month Contract basis with the TekWissen organization. Your primary responsibility will be to work on Data Engineering on AWS, including designing and implementing scalable data pipelines using AWS services such as S3, AWS Glue, Redshift, and Athena. You will also focus on Data Modeling and Transformation by developing and optimizing dimensional data models to support various business intelligence and analytics use cases. Additionally, you will collaborate with stakeholders to understand reporting and analytics requirements and build interactive dashboards and reports using visualization tools like the client's QuickSight. Your role will also involve implementing data quality checks and monitoring processes to ensure data integrity and reliability. You will be responsible for managing and maintaining the AWS infrastructure required for the data and analytics platform, optimizing performance, cost, and security of the underlying cloud resources. Collaboration with cross-functional teams and sharing knowledge and best practices will be essential for identifying data-driven insights. As a successful candidate, you should have at least 3 years of experience as a Business Intelligence Engineer or Data Engineer, with a strong focus on AWS cloud technologies. Proficiency in designing and implementing data pipelines using AWS services like S3, Glue, Redshift, Athena, and Lambda is mandatory. You should also possess expertise in data modeling, dimensional modeling, data transformation techniques, and experience in deploying business intelligence solutions using tools like QuickSight and Tableau. Strong SQL and Python programming skills are required for data processing and analysis. Knowledge of cloud architecture patterns, security best practices, and cost optimization on AWS is crucial. Excellent communication and collaboration skills are necessary to effectively work with cross-functional teams. Hands-on experience with Apache Spark, Airflow, or other big data technologies, as well as familiarity with AWS DevOps practices and tools, agile software development methodologies, and AWS certifications, will be considered as preferred skills. The position requires a candidate with a graduate degree and TekWissen Group is an equal opportunity employer supporting workforce diversity.,

If you're ready to lead with ownership and precision, and have a knack for turning vision into reality, we want to hear from you! Unleash your passion for product innovation by spearheading customer-centric development, inspiring groundbreaking solutions, and shaping the future with your strategic vision, influence, and execution! The Home Lending Data Testing team provides centralized prioritization, planning, design, execution leadership, and support for large, complex, technology-dependent data programs across the Home Lending organization. As a key driver in the project delivery lifecycle, this team partners across CCB and the JPMC Enterprise to define strategies and approaches for testing Home Lending Data initiatives, as well as setting and stewarding sound UAT Management methodologies. As a Product Manager in Home Lending, you will lead a team of automation engineers, partnering with product owners, supporting technology teams, and testing transformation to contribute to the strategic data automation planning and tactical build/execution of data testing across a diverse application suite. Lead, mentor, and inspire a team of data automation engineers and leads across multiple domains and source systems, fostering a culture of innovation and excellence. Design and develop high-volume, low-latency tools to support the testing of Home Lending applications. Own and guide the modernization of our automation framework, including the migration of legacy/local scripts to AWS, and enabling cloud-based test execution and monitoring. Build self-service automation insight reporting (in AWS or tools like Tableau) to provide visibility and business impact. Ensure seamless code integration into Home Lending Tech's CI/CD build and deploy pipelines. Define and document automation-focused test strategies for products and applications. Drive continuous improvement by exploring innovative solutions for design review and implementation. Implement ideas from concept through to execution, including root cause analysis. Manage timelines, dependencies, and resources while liaising with stakeholders and functional partners. Conduct market research and competitive analysis to identify opportunities for differentiation and innovation. Build and implement architectural designs that enhance testing processes. Required qualifications, capabilities, and skills: - Proven experience leading automation engineering teams. and experience migrating automation scripts to cloud platforms - Advanced expertise in designing and deploying scalable systems on AWS (AWS Cloud Practitioner Certification required). - Certified ScrumMaster (CSM) or equivalent Agile certification, demonstrating understanding of Agile methodologies. - Strong understanding of the Software Development Life Cycle, contributing to all phases. - Strong hands-on experience with databases (Oracle, MySQL, SQL Server) and proficiency in writing queries. - Strong hands-on experience with functional testing automation tools (Selenium, Java, Cucumber, Python) and test automation frameworks (Selenium, PyTest, Java, Python, PySpark, etc.). - Strong experience with data quality testing and working across multiple systems of record (Encompass, MFTS, Federated, etc.). - Deep understanding of customer needs and pain points, using insights to guide product development and prioritize high-value features. - Proficiency in data analytics to inform product decisions and improve user experience and business outcomes. - Strong collaboration skills with engineering, design, and business teams, effectively communicating product goals and progress to stakeholders. - Excellent organization and time management capabilities. Ability to coach and mentor team members with a mindset of curiosity, ownership, and accountability. Preferred qualifications, capabilities, and skills: - A passion for storytelling with data, and translating automation results into business insights. - Previous experience in user experience design and solution design - Proficient in Figma, JIRA, JIRA Align, Excel, PowerPoint, Process Mapping Tools. AWS experience preferred - Knowledge of cloud-native CI/CD workflows using tools such as Jenkins, AWS CodePipeline, or similar. - Proficiency in Jira, Confluence, and agile tools for tracking and collaboration. - Familiarity with data visualization tools (Tableau, Alteryx, QuickSight) is a plus. - Bachelor's Degree in Computer Science, Information Technology, or a related field.,

You will play a crucial role as a Lead Analytics Consultant in the Data and Analytics Services team, where you will be responsible for developing innovative visual analytics solutions to facilitate faster and better decision-making processes for Sun Life. Your expertise in data visualization will be instrumental in accelerating the development of strategic analytics projects that support various business stakeholders. Your main accountabilities will include working closely with data engineers, business data analysts, and business operations teams throughout the engagement life cycle. You will be responsible for providing plans and estimates for reporting initiatives, setting up reporting standards guidelines, documenting best practices for dashboard development, and guiding developers to ensure quality outcomes. Additionally, you will be tasked with maintaining standards for analysis and reporting, facilitating group meetings for solution design, and turning complex data into easy-to-understand visual insights aligned with business objectives. To excel in this role, you should possess a minimum graduate degree in Mathematics, Computer Science, Engineering, or equivalent, along with 10+ years of total experience. Your expertise in visual analytics and design principles, as well as 8+ years of experience in tools like Tableau, Power BI, QlikView, or QuickSight, will be essential. Proficiency in SQL programming, experience in agile development environments, and the ability to create complex calculations and implement advanced dashboard practices are also key qualifications. Your competencies should include expertise in dashboard designing and development, setting up best practices for BI reporting teams, experience with PostgreSQL, and end-to-end testing of dashboards. Strong visual design expertise, the ability to draw meaningful business insights from data, excellent communication skills, and a strong problem-solving aptitude are also crucial for success in this role. Additionally, possessing experience in BI CoE or platform teams, visualization tool certifications, exposure to AWS data sources and services, and familiarity with Agile or design-driven development methodologies will be considered as additional assets for this position. Your ability to work independently, manage engagements directly with business partners, and deliver smart analytical apps for decision-making will be paramount. A willingness to listen, challenge ideas, respect team members" opinions, and effectively deliver iterative solutions are qualities that will help you thrive in this role.,

Job Title: Data AnalystClient: Amazon Employment Type: Full-time (On-site) Payroll: BCT Consulting Pvt Ltd Work Location: Pune (Work from Office Monday to Friday, General Shift) Experience Required: 5+ Years Joining Mode: Permanent with BCT Consulting Pvt Ltd, deployed at Amazon Role Summary We are seeking a results-driven Data Analyst with a minimum of 5 years of experience in data visualization, reporting, and business intelligence to support strategic decisions at Amazon. The ideal candidate will have hands-on expertise in tools like Amazon Quick Sight with SQL , Power BI with SQL , or Tableau with SQL , along with experience in cloud-based solutions using AWS . Key Skills & Technologies Amazon QuickSight / Tableau / Power BI Strong SQL skills AWS (S3, Redshift, Athena, etc.) Data visualization and storytelling Data modeling and ETL processes Analytical thinking and problem-solving ability Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related field. Minimum 5 years of hands-on experience in data analysis and visualization. Excellent communication and stakeholder management skills.

5+ years of relevant experience in relevant risk management areas such as internal/external audit, risk management and/or investigation Experience in data analysis using Excel, VBA, SQL, python etc. Forensic data analysis skills with experience writing SQL or Python and using Tableau or QuickSight for visualization.

We are hiring an experienced Reporting Developer based in India to support a US East Coast client in migrating complex Power BI reports to Amazon QuickSight or Tableau. This role involves working closely with business and technical teams.

Responsibilities: * Collaborate with stakeholders on data requirements & insights delivery. * Develop dashboards using Power BI, Tableau, Looker, Sisense, Domo, Cognos, MicroStrategy, Quicksight & Zoho Analytics. Provident fund Travel allowance Assistive technologies Cafeteria

Programming Languages: Python, Scala Machine Learning frameworks: Scikit Learn, Xgboost, Tensorflow, Keras, PyTorch, Spacy, Gensim, Stanford NLP, NLTK, Open CV, Spark MLlib, . Machine Learning Algorithms experience good to have Scheduling experience: Airflow Big Data/ Streaming/ Queues: Apache Spark, Apache Nifi, Apache Kafka, RabbitMQ any one of them Databases: MySQL, Mongo/Redis/Dynamo DB, Hive Source Control: GIT Cloud: AWS Build and Deployment: Jenkins, Docker, Docker Swarm, Kubernetes. BI tool: Quicksight(preferred) else any BI tool (Must have)

You have a total of 4-6 years of development/design experience with a minimum of 3 years experience in Big Data technologies on-prem and on cloud. You should be proficient in Snowflake and possess strong SQL programming skills. Your role will require strong experience with data modeling and schema design, as well as extensive experience in using Data warehousing tools like Snowflake/BigQuery/RedShift and BI Tools like Tableau/QuickSight/PowerBI (at least one must be a must-have). You must also have experience with orchestration tools like Airflow and transformation tool DBT. Your responsibilities will include implementing ETL/ELT processes and building data pipelines, workflow management, job scheduling, and monitoring. You should have a good understanding of Data Governance, Security and Compliance, Data Quality, Metadata Management, Master Data Management, Data Catalog, as well as cloud services (AWS), including IAM and log analytics. Excellent interpersonal and teamwork skills are essential, along with the experience of leading and mentoring other team members. Good knowledge of Agile Scrum and communication skills are also required. At GlobalLogic, the culture prioritizes caring and inclusivity. Youll join an environment where people come first, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Continuous learning and development opportunities are provided to help you grow personally and professionally. Meaningful work awaits you at GlobalLogic, where youll have the chance to work on impactful projects and engage your curiosity and problem-solving skills. The organization values balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve a perfect balance between work and life. GlobalLogic is a high-trust organization where integrity is key, ensuring a safe, reliable, and ethical global environment for all employees. Truthfulness, candor, and integrity are fundamental values upheld in everything GlobalLogic does. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner that collaborates with the world's largest and most forward-thinking companies. Leading the digital revolution since 2000, GlobalLogic helps create innovative digital products and experiences, transforming businesses and redefining industries through intelligent products, platforms, and services.,

As a highly skilled Data Architect & ETL Engineer, you will play a crucial role in designing, implementing, and managing scalable data architectures and ETL pipelines. Your expertise in data, SQL, and ETL transformations will be essential in enabling high-quality business intelligence and analytics solutions. Your responsibilities will include designing and implementing scalable data architectures to support analytics, data integration, and reporting. You will be developing and maintaining ETL pipelines using tools like Pentaho, optimizing SQL queries, and building efficient data models for reporting and data warehousing. Collaboration with business analysts, data scientists, and application teams will be key to ensuring efficient data flow. In addition, you will implement data governance, quality control, and security measures, as well as develop interactive reports and dashboards using tools such as Tableau, QuickSight, or Power BI. Monitoring and troubleshooting data pipelines to ensure high availability and reliability will also be part of your role, along with documenting data flows, ETL processes, and architectural designs. To excel in this role, you should have a Bachelor's or Masters degree in Computer Science, Information Systems, or a related field, along with 5+ years of experience in data engineering, ETL development, or data architecture. Strong SQL skills, experience with relational databases, and hands-on experience with ETL transformation tools like Pentaho are required. Knowledge of data modeling, data warehousing, and BI best practices, as well as an understanding of data governance, metadata management, and data security, will be beneficial. Strong problem-solving and communication skills are essential for success in this position. Preferred skills include experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data services, proficiency in Python or Java for data transformation and automation, and knowledge of CI/CD pipelines for data workflows. Join us for the opportunity to work with an amazing team on high-impact projects in the Fintech industry, where you will have the chance to learn and grow professionally.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

At PwC, the focus of people in risk and compliance is on maintaining regulatory compliance and managing risks for clients, providing advice and solutions. They assist organizations in navigating complex regulatory landscapes and enhancing internal controls to effectively mitigate risks. In actuarial services at PwC, your responsibility will be analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will aim to generate valuable insights and recommendations to assist businesses in making informed decisions and mitigating potential risks. You will be building meaningful client connections and learning how to manage and inspire others, all while navigating increasingly complex situations. As you grow your personal brand and deepen your technical expertise and awareness of your strengths, you are expected to anticipate the needs of your teams and clients and deliver quality. Embracing increased ambiguity, you should be comfortable when the path forward isn't clear, ask questions, and utilize these moments as opportunities for growth. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others. - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Applying critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy. - Developing a deeper understanding of the business context and its changing dynamics. - Using reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpreting data to derive insights and recommendations. - Upholding and reinforcing professional and technical standards, the Firm's code of conduct, and independence requirements. As part of the Risk and Compliance team at PwC Acceleration Centers (ACs), you will be actively supporting various services, from Advisory to Assurance, Tax, and Business Services. Engaging in challenging projects and providing distinctive services to support client engagements through enhanced quality and innovation will be a key responsibility. You will also participate in dynamic and digitally enabled training designed to enhance your technical and professional skills. Supporting life, annuity, and health clients in various ways, including audits, consulting projects, and merger and acquisition activities, you will analyze complex problems, mentor others, maintain standards, build client relationships, and deepen your understanding of the business context. Responsibilities: - Supporting life, annuity, and health clients in various projects. - Conducting audits and consulting on merger and acquisition activities. - Analyzing complex problems to deliver impactful solutions. - Mentoring team members to maintain exemplary standards. - Building enduring client relationships and understanding their needs. - Collaborating across multiple work streams to achieve project goals. - Enhancing technical skills and knowledge within the team. - Contributing to the development of technical acumen. Requirements: - Bachelor's Degree. - 3 years of experience. - Oral and written proficiency in English required. What Sets You Apart: - Proficiency in actuarial methods and principles. - Proficiency in Microsoft Office, especially Excel. - Knowledge of Data Analytics: Python, SQL. - Experience with Visualization Tools: Tableau, PowerBI, QuickSight. - Strong written and verbal communication skills. - Commitment to continuous training and learning. - Team player with quality standards. - Self-motivated with a focus on personal growth.,

You are a highly skilled Data Architect & ETL Engineer with a strong understanding of data, SQL expertise, and experience in ETL transformations and analytics tools. Your role involves designing, implementing, and managing scalable data architectures and ETL pipelines to enable high-quality business intelligence and analytics solutions. You will be responsible for designing and implementing scalable data architectures to support analytics, data integration, and reporting. Developing and maintaining ETL pipelines using Pentaho or other ETL transformation tools will be a key part of your role. Collaboration with business analysts, data scientists, and application teams is essential to ensure efficient data flow. Optimizing SQL queries and building efficient data models for reporting and data warehousing, such as star/snowflake schema, will be part of your responsibilities. Implementing data governance, quality control, and security measures is critical. Additionally, developing interactive reports and dashboards using Tableau, QuickSight, or Power BI is part of the role. Monitoring and troubleshooting data pipelines to ensure high availability and reliability, as well as documenting data flows, ETL processes, and architectural designs, are also important tasks. You should possess a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, along with 5+ years of experience in data engineering, ETL development, or data architecture. Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle) are required. Hands-on experience with Pentaho or similar ETL transformation tools, as well as experience with Tableau, QuickSight, or Power BI for data visualization and reporting, is necessary. Knowledge of data modeling, data warehousing, and BI best practices, along with an understanding of data governance, metadata management, and data security, is essential. Strong problem-solving and communication skills are also important. Preferred skills include experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data services, as well as experience in Python or Java for data transformation and automation. Knowledge of CI/CD pipelines for data workflows is a plus. Joining the team offers the opportunity to work on high impact projects in the Fintech industry, providing valuable learning experiences.,