690 Microstrategy Jobs - Page 11

Gurgaon, India Finance 48748 Regular No Full Time (F) None India Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Provides tax advice and services in assigned areas of technical expertise to Keysight at the enterprise and entity levels, and to managers or other employees in the areas of compliance (including SOX), transfer pricing, planning and training. Assigned areas may include involvement in company income tax, property tax, corporate legal structure, acquisitions and divestitures, transfer pricing and intercompany transactions and other tax areas. Researches, prepares, analyzes and documents tax issues and compliance for the geographic and process area of responsibility including related systems and accounting understanding, working with outside advisors where appropriate. Partners with the businesses and other functions in the implementation of business or process changes. Participates in the formulation, coordination and implementation of Keysight's global tax strategy with the objective of optimizing global after-tax results. Participates in the representation of Keysight in audits, litigation and other negotiation with government authorities relating to tax matters. Participates in cross functional projects partnering with finance & non finance functions like Corporate Controllership Organization, Corporate Financial Reporting, Human Resources, legal, corporate development, accounts payable, accounts receivable, and order management. Candidate should have robust knowledge & working experience of US GAAP- ASC 740 (Accounting for Income Taxes) Responsible for preparation/Review of Foreign tax provision including calculation of deferred tax assets/liabilities, the effective tax rate, FIN48 in accordance with ASC 740 (Accounting for Income taxes) Provide support on the preparation/review of various tax consolidation adjustments like tax incentives, effective tax rate, etc. Responsible for preparation/Review of various tax reports generated from Microstrategy/Onestream Excellent MS-excel skills and proficiency in other Microsoft Office tools Works on tax assignments with clearly defined objectives Solves problems of limited scope and complexity Qualifications Qualified chartered accountants or equivalent. Minimum 2 years of relevant experience for qualified chartered accountants. Minimum 4 years of relevant experience for semi- qualified chartered accountants. Working Knowledge of Oracle, MSTR, Onestream, and specialized knowledge of Income Tax tool- OneSource Tax Provision would be an added advantage. Should possess strong analytical skills to analyze, identify and calculate the book to tax adjustment in accordance with US GAAP- ASC 740 (Accounting for Income Taxes). Excellent MS-excel skills and proficiency in other Microsoft Office tools Effective Inter-personal communication, including both verbal and written. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Provides tax advice and services in assigned areas of technical expertise to Keysight at the enterprise and entity levels, and to managers or other employees in the areas of compliance (including SOX), transfer pricing, planning and training. Assigned areas may include involvement in company income tax, property tax, corporate legal structure, acquisitions and divestitures, transfer pricing and intercompany transactions and other tax areas. Researches, prepares, analyzes and documents tax issues and compliance for the geographic and process area of responsibility including related systems and accounting understanding, working with outside advisors where appropriate. Partners with the businesses and other functions in the implementation of business or process changes. Participates in the formulation, coordination and implementation of Keysight's global tax strategy with the objective of optimizing global after-tax results. Participates in the representation of Keysight in audits, litigation and other negotiation with government authorities relating to tax matters. Participates in cross functional projects partnering with finance & non finance functions like Corporate Controllership Organization, Corporate Financial Reporting, Human Resources, legal, corporate development, accounts payable, accounts receivable, and order management. Candidate should have robust knowledge & working experience of US GAAP- ASC 740 (Accounting for Income Taxes) Responsible for preparation/Review of Foreign tax provision including calculation of deferred tax assets/liabilities, the effective tax rate, FIN48 in accordance with ASC 740 (Accounting for Income taxes) Provide support on the preparation/review of various tax consolidation adjustments like tax incentives, effective tax rate, etc. Responsible for preparation/Review of various tax reports generated from Microstrategy/Onestream Excellent MS-excel skills and proficiency in other Microsoft Office tools Works on tax assignments with clearly defined objectives Solves problems of limited scope and complexity Qualifications Qualified chartered accountants or equivalent. Minimum 2 years of relevant experience for qualified chartered accountants. Minimum 4 years of relevant experience for semi- qualified chartered accountants. Working Knowledge of Oracle, MSTR, Onestream, and specialized knowledge of Income Tax tool- OneSource Tax Provision would be an added advantage. Should possess strong analytical skills to analyze, identify and calculate the book to tax adjustment in accordance with US GAAP- ASC 740 (Accounting for Income Taxes). Excellent MS-excel skills and proficiency in other Microsoft Office tools Effective Inter-personal communication, including both verbal and written. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role. Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Documents all development activity. Assists with training non-technical personnel. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as a resource for colleagues with less experience. Job Description Ability to write high-quality code and follow a test-driven development approach Proficiency in Java, Spring Framework, Angular, and RDBMS systems Skilled in Javascript, Typescript, and CSS Proficiency in AWS cloud technologies (S3, ECS, RDS, EMR, Lambda, Step Functions) Qualified in MicroStrategy and BI reporting concepts and technologies Adhere to software engineering best practices including design & architecture standards, quality of deliverables, and code review practices Collaborate with Engineering leadership, Product/Project Managers to develop detailed project estimations, project statuses and risk mitigation for technical deliverables Ability to work across the stack and solve complex problems with efficient and scalable solutions Bachelor’s Degree or higher in computer science or related engineering discipline, or equivalent work experience Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

At Empower, a Sr. Architect is a mix of leadership position and thought leadership role. A Sr. Architect works with enterprise architects, and both business and IT teams, to align solutions to the technology vision they help create. This role supports enterprise Architects in the development of technology strategies, reference architectures, solutions, best practices and guidance across the entire IT development organization; all the while addressing total cost of ownership, stability, performance and efficiency. The candidate will also be working with Empower Innovation Lab team as the team is experimenting with emerging technologies, such as Generative AI, and Advanced Analytics. In this rapid paced environment, the person must possess a "can-do" attitude while demonstrating a strong work ethic. This person should have a strong aptitude to help drive decisions. He or she will be actively involved in influencing the strategic direction of technology at Empower Retirement. There will be collaboration across all teams including IT Infrastructure, PMO office, Business, and third-party integrators in reviewing, evaluating, designing and implementing solutions. The Architect must understand available technology options and educate and influence technology teams to leverage them where appropriate. The Architect will recognize and propose alternatives, make recommendations, and describe any necessary trade-offs. In some cases, particularly on key initiatives, the Architect will participate on the design and implementation of end-to-end solutions directly with development teams. The ideal candidate will leverage their technical leadership/direction-setting skills with the development organization to be able to prove technical concepts quickly using a variety of tools, methods, frameworks. Responsibilities: Help Enterprise Architect, work with peer Sr. Architects and more junior resources to define and execute on the business aligned IT strategy and vision. Develop, document, and provide input into the technology roadmap for Empower. Create reference architectures that demonstrate an understanding of technology components and the relationships between them. Design and modernize complex systems into cloud compatible or cloud native applications where applicable. Create strategies and designs for migrating applications to cloud systems. Participate in the evaluation of new applications, technical options, challenge the status quo, create solid business cases, and influence direction while establishing partnerships with key constituencies. Implement best practices, standards guidance, then subsequently provide coaching of technology team members. Make leadership recommendations regarding strategic architectural considerations related to process design and process orchestration. Provide strong leadership and direction in development/engineering practices. Collaborate with other business and technology teams on architecture and design issues. Respond to evolving and changing security conditions. Implement and recommend security guidelines. Provide thought-leadership, advocacy, articulation, assurance, and maintenance of the enterprise architecture discipline. Provide solution, guidance, and implementation assistance within full stack development teams. Recommend long term scalable and performant architecture changes keeping cost in control. Preferred Qualifications: 12+ years of experience in the development and delivery of data systems. This experience should be relevant to roles such as Data Analyst, ETL (Extract, Transform and Load) Developer (Data Engineer), Database Administrator (DBA), Business Intelligence Developer (BI Engineer), Machine Learning Developer (ML Engineer), Data Scientist, Data Architect, Data Governance Analyst, or a managerial position overseeing any of these functions. 3+ years of experience creating solution architectures and strategies across multiple architecture domains (business, application, data, integration, infrastructure and security). Solid experience with the following technology disciplines: Python, Cloud architectures, AWS (Amazon Web Services), Bigdata (300+TBs), Advanced Analytics, Advance SQL Skills, Data Warehouse systems(Redshift or Snowflake), Advanced Programming, NoSQL, Distributed Computing, Real-time streaming Nice to have experience in Java, Kubernetes, Argo, Aurora, Google Analytics, META Analytics, Integration with 3rd party APIs, SOA microservices design, modern integration methods (API gateway/web services, messaging RESTful architectures). Familiarity with BI tools such as Tableau/QuickSight. Experience with code coverage tools. Working knowledge of addressing architectural cross cutting concerns and their tradeoffs, including topics such as caching, monitoring, operational surround, high availability, security, etc. Demonstrates competency applying architecture frameworks and development methods. Understanding of business process analysis and business process management (BPM). Excellent written and verbal communication skills. Experience in mentoring junior team members through code reviews and recommend adherence to best practices. Experience working with global, distributed teams. Interacts with people constantly, demonstrating strong people skills. Able to motivate and inspire, influencing and evangelizing a set of ideals within the enterprise. Requires a high degree of independence, proactively achieving objectives without direct supervision. Negotiates effectively at the decision-making table to accomplish goals. Evaluates and solves complex and unique problems with strong problem-solving skills. Thinks broadly, avoiding tunnel vision and considering problems from multiple angles. Possesses a general understanding of the wealth management industry, comprehending how technology impacts the business. Stays on top of the latest technologies and trends through continuous learning, including reading, training, and networking with industry colleagues. Data Architecture - Proficiency in platform design and data architecture, ensuring scalable, efficient, and secure data systems that support business objectives. Data Modeling - Expertise in designing data models that accurately represent business processes and facilitate efficient data retrieval and analysis. Cost Management - Ability to manage costs associated with data storage and processing, optimizing resource usage, and ensuring budget adherence. Disaster Recovery Planning - Planning for data disaster recovery to ensure business continuity and data integrity in case of unexpected events. SQL Optimization/Performance Improvements - Advanced skills in optimizing SQL queries for performance, reducing query execution time, and improving overall system efficiency. CICD - Knowledge of continuous integration and continuous deployment processes, ensuring rapid and reliable delivery of data solutions. Data Encryption - Implementing data encryption techniques to protect sensitive information and ensure data privacy and security. Data Obfuscation/Masking - Techniques for data obfuscation and masking to protect sensitive data while maintaining its usability for testing and analysis. Reporting - Experience with static and dynamic reporting to provide comprehensive and up-to-date information to business users. Dashboards and Visualizations - Creating d ashboards and visualizations to present data in an intuitive and accessible manner, facilitating data-driven insights. Generative AI / Machine Learning - Understanding of generative artificial intelligence and machine learning to develop advanced predictive models and automate decision-making processes. Understanding of machine learning algorithms, deep learning frameworks, and AI model architectures. Understanding of ethical AI principles and practices. Experience implementing AI transparency and explainability techniques. Knowledge of popular RAG frameworks and tools (e.g., LangChain, LlamaIndex). Familiarity with fairness metrics and techniques to mitigate bias in AI models. Sample technologies: Cloud Platforms - AWS (preferred) or Azure or Google Cloud Databases - Oracle, Postgres, MySQL(preferred), RDS, DynamoDB(preferred), Snowflake or Redshift(preferred) Data Engineering (ETL, ELT) - Informatica, Talend, Glue, Python(must), Jupyter Streaming - Kafka or Kinesis CICD Pipeline - Jenkins or GitHub or GitLab or ArgoCD Business Intelligence - Quicksight (preferred), Tableau(preferred), Business Objects, MicroStrategy, Qlik, PowerBI, Looker Advanced Analytics - AWS Sagemaker(preferred), TensorFlow, PyTorch, R, scikit learn Monitoring tools - DataDog(preferred) or AppDynamics or Splunk Bigdata technologies - Apache Spark(must), EMR(preferred) Container Management technologies - Kubernetes, EKS(preferred), Docker, Helm Preferred Certifications: AWS Solution Architect AWS Data Engineer AWS Machine Learning Engineer AWS Machine Learning EDUCATION: Bachelor s and/or master s degree in computer science or related field (information systems, mathematics, software engineering) .

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. ","responsibilities":" In this role, you will: Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations. Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work. Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the businesss biggest challenges, especially focussed on the fast-paced Atlassian Intelligence suite of features Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them. Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations. Partner with cross-functional teams to inform, influence, and execute strategy decisions Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends. You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian. ","qualifications":" Qualifications Minimum Qualifications / Your background: 3+ Years of Experience in Data Science, Machine Leaning, Generative AI or related fields Ability to craft analysis into well-written and persuasive content Proficiency in SQL AND another data manipulation programming language (e.g Python, R) Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) Familiarity with LLM or ML driven product algorithms and success metric selection and measurement Desirable Qualifications Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features Understanding of the SaaS business model and key metrics Experience in building solutions to improve the software development process. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. ","responsibilities":" In this role, you will: Influence AI product feature development and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations. Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work. Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the businesss biggest challenges, especially focussed on the fast-paced Atlassian Intelligence suite of features Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them. Define, understand, and test opportunities to improve our products, guide business direction, and influence roadmaps through insights and recommendations. Partner with cross-functional teams to inform, influence, and execute strategy decisions Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends. You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian. ","qualifications":" Qualifications Minimum Qualifications / Your background: 5+ Years of Experience in Data Science, Machine Learning, Generative AI or related fields Ability to craft analysis into well-written and persuasive content Proficiency in SQL AND another data manipulation programming language (e.g Python, R) Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.) Familiarity with LLM or ML driven product algorithms and success metric selection and measurement Desirable Qualifications Experience developing insights for Chat, Search, or LLM-based products, and/or developing and measuring ML-driven product features Understanding of the SaaS business model and key metrics Experience in building solutions to improve the software development process. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

- 3+ years of program or project management experience - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) - Knowledge of SQL Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key responsibilities include: 1. Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. 2. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. 3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. 4. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. 5. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About the team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Full-time Company Description The NielsenIQ Global Engineering Team is seeking talented engineers passionate about data visualization and retail data analytics. Are you ready for your next challenge as a BI & Data Engineer? Our team empowers retailers by transforming shopper insights into strategic advantages. We harness data expertise, advanced modeling, AI, and cloud-based solutions to uncover what drives consumer decision-making—delivering actionable insights directly to our clients. As a BI & Data Engineer, you’ll join a dynamic team building cutting-edge, data-driven custom solutions for the world’s leading retailers. We are passionate about leveraging the latest technologies, including Power BI, Power Query, SQL, Python, MS Fabric, Azure Cloud Services, Airflow, GitHub, and GitHub Actions. While your primary focus will be BI & Data Application Development, you'll also have opportunities to expand your expertise in areas such as data, web integration, security, automated testing, and infrastructure—broadening your technical skill set in a fast-paced, collaborative environment. Job Description Who you are… You are eager to be part of a fast-growing company that rewards creativity and innovation where your input is encouraged and welcomed. You have a college or university degree in Mathematics, Computer Science, Business, Information Systems (or equivalent combination of skill and experience) You have 5+ years of development experience working with business data with exposure to ETL, data modelling and front-end UI design using industry-leading BI tools (PowerBI, MicroStrategy, Qlik Sense etc.) You have a strong foundation of data visualization skills, design principles, dashboard and scorecard design. You have solid database skills and can validate tools you build with direct database queries. You employ a design-first approach to coding and technical problem solving and dedicate time to unit testing and integration testing to achieve your high-quality standards. You are inspired by continual improvement challenges to deliver high-quality products quickly and efficiently. You thrive in a team environment, contributing to shared knowledge and questioning the status quo to push yourself and your peers to be even better developers. You stay informed about the latest developments in the technology space because new ideas excite you. You are self-motivated and enjoy finding solutions to problems. Why we need you… Develop custom reporting solutions for industry-leading interactive retail analytics Work as part of a team to design, develop and deploy reporting solutions and configurations for different client data requirements and business rules. Develop PowerBI applications with a focus on accuracy, data model efficiency and data relationships across reports Develop with system integration in mind, mainly in data flow into and from PowerBI (BI Reporting Tool) and integrate with NIQ retail web portal. Continually develop technical expertise to ensure that customer solution is efficient. Consistently develop with performance in mind to optimize end-user experience. Work with architects and other team members to identify tools and technologies applicable for client custom requirement. Research and take advantage of new technology to improve and expand solutions. Participate in team innovation by exploring the newest PowerBI versions and functionality, implementing tools, and presenting via formal knowledge sharing sessions. Participate in peer code reviews, troubleshoot and correct software defects Work in an agile development environment, collaborating with other developers, testers and DevOps where you will be involved in scrum meetings, requirements discussion, technical design sessions, UAT process and other tasks related to iterative development. Qualifications Technical skills: PowerBI, SQL, ETL & Data Modelling, Dava Visualization, Coding & scripting (e.g. python nice to have) Platform & Tools Microsoft ecosystem (Power Query, MS Fabric, Azure Cloud services (Data Lake, etc.) Version control and DevOps tools such as Github and Github Actions, or equivalent tools for source control and automation workflows Exposure to tools like Airflow is a plus for managing data pipeline Soft & Interpersonal Skills Problem-Solving Mindset: Proactive, analytical approach to technical challenges and business needs. Team Collaboration: Comfortable working in agile teams, participating in standups, code reviews, and design sessions. Communication: Ability to clearly explain technical concepts to both technical and non-technical stakeholders. Continuous Learning: Eagerness to stay up-to-date with evolving tech, tools, and BI trends. Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About The Team The Merch Ops Analytics team supports the Assortment Planning function at Lowe’s to assist in item level planning across all Lowe’s stores. The team provides leverages advanced analytics to gather insights and share recommendations to the business in optimizing assortments via SKU Rationalization, Product Line Reviews and other strategic initiatives to ensure that Lowe’s stocks the right product in the right store in the right quantity Job Summary The principal purpose of the Sr. Analyst is to be the Analytics partner with the Merchandising organization and deliver the insights and recommendations to drive a deeper understanding of product categories. This information will be utilized by Merchandising teams as they work to create an optimal strategy for their product category, which in turn will influence different merchandising strategies across all our fulfillment channels. To accomplish this, the Sr. Analyst must have solid knowledge of retail and/or business analytics. This position is responsible for following analytical best practices, accurately reporting and analyzing results and identifying insights for decision making; determine additional research/analytics that may be needed to enhance the solution; and coordinate with cross-functional teams to ensure project continuity and strategic alignment Roles & Responsibilities Core Responsibilities: Solves problems and shares information to enable alignment across the organization in order to facilitate better decision making by collaborating with a team of peers, providing support to functional areas for product line reviews, business reviews & strategic initiatives Enables business partners to make informed decisions based on root cause drivers of performance by working with functional partners to develop and maintain scorecards, analyzing and providing insights and performance analysis Communicates financial and non-financial analysis and insights to leaders by preparing analyses through leveraging multiple data sources; identifying complete, consistent, and actionable insights & recommendations; translating insights into clear, understandable themes Demonstrate resourcefulness and resilience in the face of change, obstacles, and adversity. This includes adapting to competing demands and shifting priorities. This also includes improving adaptability, pursuing new skills and knowledge, and regularly seeking feedback from others Years Of Experience 4+ years’ experience in Data Analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business, Engineering, Statistics, Economics or any other Quantitative discipline Skill Set Required Primary Skills (must have) Wrangling data using complex SQLs and data extraction processes using data tools like SQL Assistant, DBeaver etc across databases in Teradata, Hadoop Experience working with Big data & performing data transformations using Python (preferred), SAS, R etc Advanced proficiency in MS Excel and experience in creating reports & dashboards Advanced proficiency in business intelligence and reporting tools such as PowerBI (preferred), MicroStrategy, Tableau etc Demonstrated experience working cross-functionally and with global partners Capable of end-to-end project execution & engaging with stakeholders at each stage Good understanding of retail math & statistics Secondary Skills (desired) 1+ year experience in Retail category analytics working directly with merchants Ability to build analytical solutions using modelling and advanced statistical techniques for solving business problems related to Merchandising Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Data Analyst 📍 Location: Hyderabad (Hybrid) 🕒 Experience: 7–10 Years Skills Required: Strong understanding of Data Warehouse Concepts ETL Tool: Informatica (Must) Python: Moderate proficiency Advanced SQL Data Visualization: Power BI / MSTR Domain experience in Investment Banking, Capital Markets, Asset Management, Wealth Management, Valuations •Analyze data related to Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing to generate actionable insights. •Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation. •Partner with Business Analysts, Architects and Data engineers to validate datasets, optimize queries and perform reconciliation. •Support the design and delivery of Investment data and reporting solutions, including data pipelines, reporting dashboards. •Collaborate with Data Engineers, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals. •Manage and oversee investment data, ensuring its accuracy, consistency, and completeness. The Minimum Qualifications Experience: •7-9 years of experience as a Data Analyst or similar role supporting data analytics projects. •5+ years of Mastery in SQL. •5+ years of experience in Investment banking, Capital market, Asset management, wealth management, evaluations •Experience with data manipulation using Python. •Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing. •Investment Operations exposure - Critical Data Elements (CDE), data traps and other data recons. •Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses. •Experience with BI tools like Power BI, MicroStrategy, Tableau. •Excellent communication, problem-solving, and stakeholder management skills. •Experience in Agile/Scrum and working with cross-functional delivery teams. •Proficiency in financial reporting tools (e.g., Power BI, Tableau). The Ideal Qualifications Technical Skills: •Familiarity with regulatory requirements and compliance standards in the investment management industry. •Ability to lead cross-functional teams and manage complex projects. •Hands-on experience with IBOR’s such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. •Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion. •Experience with cloud data platforms like Snowflake and Databricks. •Background in data governance, metadata management, and data lineage frameworks.

- 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) 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 need? Then 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. Key job responsibilities 1. Responsible for designing, building and maintaining complex data solutions for Amazon's SmartCommerce businesses 2. Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions 3. Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies 4. Makes efficient use of resources (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.) 5. Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient 6. Makes enhancements that improve team’s data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) 7. Owns the data quality of important datasets and any new changes/enhancements 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We’re Hiring: Data Management Lead Pune / Trivandrum | Hybrid | Immediate Joiners Only Are you a data governance expert ready to drive large-scale impact? Join Claidroid Technologies Pvt. Ltd. , a global deep-tech company powering enterprise innovation across AI, cybersecurity, geospatial, and cloud platforms. About Claidroid We’re a technology-first company with teams across India, Finland, and the US , delivering real-world solutions across: Cloud & Edge Computing Generative AI, MLOps & AIOps Geospatial Intelligence & Digital Twins Cybersecurity & Identity Management ServiceNow, DevOps & ETL Modernization We work with industries including smart cities , BFSI , healthcare , and infrastructure , enabling data-driven transformation at scale. Role Overview: Data Management Lead As a Data Management Lead, you’ll: Drive enterprise data capabilities— Metadata, MDM/RDM, Data Quality, Lineage, Governance Build foundational data products: Glossaries, Stewardship Tools, Catalogs, KPI Dashboards Collaborate with business and IT stakeholders across departments Lead implementation using Informatica IDMC , Axon , and BI platforms Operate and grow a federated Data Stewardship Community Contribute to process innovation, tooling strategy, and continuous improvement Must-Have Skillset ✔ Informatica IDMC – Implementation, governance, and cataloging ✔ SQL – Strong querying, scripting, and integration expertise ✔ Metadata Management – Taxonomy, classification, and lineage frameworks ✔ MDM / RDM – Master & Reference Data strategy and architecture ✔ Stakeholder Management – Cross-functional collaboration and alignment ✔ End-to-End Project Delivery – Agile execution, KPI reporting, governance at scale Good-to-Have Skills 🔹 Informatica Axon – Business glossaries, stewardship workflows 🔹 Any BI Tool – Cognos, MicroStrategy, Power BI, or equivalent Who You Are 9+ years in enterprise Data Management or Governance roles Experience delivering results across large, complex data ecosystems Confident communicator who can translate technical concepts for business stakeholders Practical experience with data scripting (SQL, Python, etc.) and Azure data products Enthusiastic about data maturity, stewardship, and measurable business value Why Join Claidroid? Global Collaboration – Work with teams in Europe, US, and India Deep-Tech Ecosystem – Contribute to innovation in AI, IoT, GIS, and Cloud Agile & Impactful – Drive transformation with empowered teams Mentorship Culture – R&D-led growth with strong technical leadership Purpose-Driven Projects – Shape data foundations for smart cities, healthcare, and more Apply Today Ready to lead data transformation with Claidroid? Apply Now.

Project Role: Forecast Analyst Work Experience: 5+ years. Work location: Bangalore. Mode of work: Hybrid Work Timing: 2:00 PM to 11:00 PM Job Profile Summary The Forecast Analyst is primarily responsible for becoming the subject matter expert for IQVIA’s Clinical Trial Payment department’s forecasting service. Primary duties will include preparing, delivering and analysing the forecast report. Duties also include responding to inquiries from internal and external sources regarding the forecast report, adjusting the assumptions as needed, and validating the forecast report data against actual data to ensure maximum accuracy and client satisfaction Essential Functions: Communicate with internal and external stakeholders to understand each clinical trial receiving the forecasting service. Build and develop baseline assumptions used in the forecast. Determine if all forecasting requirements are met & helping to meet those requirements. Work with IT to ensure successful loading of the assumptions into the forecast model. Produce and distribute the forecast report to end-users. Answer and support end-user questions and needs. Analyze & validate forecasting report output against actual data and make updates as needed. Adjust the forecast report assumptions throughout the trial as needed to maintain accuracy. Support the continued effort in updating IQVIA’s Clinical Trial Payment’s forecast enhancements. Create, run, and analyze ad hoc reports as needed Support the operations improvement initiatives as needed. Experience & Education Bachelor's Degree Accounting, Finance, Statistics, Business or related field Typically requires 5+ years of prior relevant experience Requires intermediate level knowledge of principles, theories, and concepts of a job area, typically obtained through advanced education combined with experience Working knowledge of clinical trial process, ideally with specific knowledge on investigator contracts and essential site documents; Experience in financial forecast and accrual reporting and analysis; Experience with a business intelligence application such as MicroStrategy or Spotfire

Primary skills: Agile Coach->Agile (Agile), Business Analyst, Insurance, Insurance-> Fineos, Insurance->P&C Business analyst , Insurance->Life Insurance , Group and Benefits Masters Degree with Minimum 6 Years of Experience or Bachelor’s degree or foreign equivalent with Minimum 8 Years of experience required. Experience in the full System Development Life Cycle (SDLC) on a variety of technologies and platforms preferably in Property and Casualty and or Life Insurance At least 4-8 Years’ experience in one or more of the following skills in P&C / Life Insurance domain - Scrum/Agile experience in a PO role or similar on an Agile Team environment. Excellent understanding of how to operate in an Agile Team setting. Strong collaboration skills Experience in Agile Poker, WSJF and similar Agile estimating tools. Successful track record of backlog refinement for a complex system implementation. Successful track record of quickly learning new complex systems. Practical knowledge of how to correctly assign story points. Demonstrated experience in User Story refinement. Proven record of minimal churning/re-work after Story is accepted by the PO. Familiarity with Good Documentation practices Must be able to translate business requirements into well-formed technical and system requirements Experience with modeling business processes, data flows, and workflow processes depicting relationships between Insurance data entities. Strong business consulting skills associated with complex IT system implementation spanning over 12-18 months. Strong oral & written communication skills, Business stakeholder management Must have performed business requirement analysis, use case modeling from a business analysis/consulting standpoint. Experience and desire to work in a management consulting environment that requires regular travel Database/SQL experience/SQL expertise. Knowledge of ETL and Datawarehouse concepts and processes. Working exposure on policy and claims data migration. Prior experience working with tools like MicroStrategy, Tableau, and Qlik. Special combination of technical skill and business acumen, along with a high degree of confidence

Key Responsibilities: Masters Degree with Minimum 6 Years of Experience or Bachelor s degree or foreign equivalent with Minimum 8 Years of experience required Experience in the full System Development Life Cycle SDLC on a variety of technologies and platforms preferably in Property and Casualty and or Life Insurance At least 4 8 Years experience in one or more of the following skills in P C Life Insurance domain Scrum Agile experience in a PO role or similar on an Agile Team environment Excellent understanding of how to operate in an Agile Team setting Strong collaboration skills Experience in Agile Poker WSJF and similar Agile estimating tools Successful track record of backlog refinement for a complex system implementation Successful track record of quickly learning new complex systems Practical knowledge of how to correctly assign story points Demonstrated experience in User Story refinement Proven record of minimal churning re work after Story is accepted by the PO Familiarity with Good Documentation practices Must be able to translate business requirements into well formed technical and system requirements Experience with modeling business processes data flows and workflow processes depicting relationships between Insurance data entities Strong business consulting skills associated with complex IT system implementation spanning over 12 18 months Strong oral written communication skills Business stakeholder management Must have performed business requirement analysis use case modeling from a business analysis consulting standpoint Experience and desire to work in a management consulting environment that requires regular travel Technical Requirements: Primary skills Agile Coach Agile Agile Business Analyst Insurance Insurance Fineos Insurance P C Business analyst Insurance Life Insurance Group and Benefits Additional Responsibilities: Database SQL experience SQL expertise Knowledge of ETL and Datawarehouse concepts and processes Working exposure on policy and claims data migration Prior experience working with tools like MicroStrategy Tableau and Qlik Special combination of technical skill and business acumen along with a high degree of confidence Preferred Skills: Domain->Insurance->Life Insurance,Technology->Agile Management->Agile Management Tools

Description Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key Responsibilities Include Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About The Team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. Basic Qualifications 3+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Knowledge of SQL Preferred Qualifications Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3022502

Description Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key Responsibilities Include Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About The Team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. Basic Qualifications 3+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Knowledge of SQL Preferred Qualifications Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3022502

Description Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key Responsibilities Include Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About The Team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. Basic Qualifications 3+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Knowledge of SQL Preferred Qualifications Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3022502

Location:- Pune. Interview:- 1st Round:- Virtual, 2nd Round :- F2F.(Should be available for F2F interview) . Exp Level - 5 years + We are seeking a skilled and proactive Systems and Middleware Support Engineer with hands-on experience in supporting enterprise business applications such as Jira, GitHub, Jenkins, Tableau, JBoss, MicroStrategy, Web Methods, or similar platforms. The ideal candidate will be proficient in Unix, Windows, and AIX operating systems administration, with strong shell scripting skills for automation. You will provide expert-level support for middleware technologies, application/web servers, and manage automation jobs using Control-M. A working knowledge of database management, firewalls, load balancers, and network components is essential. Responsibilities include incident and problem management, ensuring SLA compliance, and proactive monitoring of systems and applications. You will collaborate across teams to enhance the stability, performance, and scalability of IT operations while continuously developing and maintaining automation solutions. Strong analytical thinking, excellent communication, and a keen focus on service reliability are key to success in this role. Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Behind one of the worlds best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. Were also the source of the data and analytics behind Targets Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About the Role Join the Data Analytics (DA) team at TII across domains such as Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance and more . Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. Youll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems. This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques. Key Responsibilities Partner with business teams to deliver data-driven insights and technology solutions Develop innovative analytics solutions to support strategic initiatives Use SQL and data visualization tools to analyze structured and unstructured data Apply statistical models and machine learning techniques to measure business drivers Translate complex analysis into clear, actionable recommendations Continuously explore and adopt new tools, technologies, and methodologies Qualifications Education o Bachelors in Engineering (B.Tech/B.E.) or o Masters in Statistics, Econometrics, Mathematics, or a related field Experience o 26 years of total experience o 13 years of relevant hands-on analytics experience Technical Skills Proficiency in SQL (joins, volatile tables, basic query optimization) Strong understanding of DW/BI concepts Experience with BI tools such as Tableau , Domo , MicroStrategy , or Qlik Programming experience in Python , R , or similar open-source technologies Knowledge of analytical techniques regression , time-series analysis , classification , etc. Familiarity with databases Teradata , Oracle , Hive Exposure to big data tools and frameworks like Hadoop/HDFS Preferred Experience Domain knowledge in retail , merchandising , or marketing Ability to learn new tools and adapt to evolving business needs Strong problem-solving and decision-making capabilities Excellent communication and presentation skills Curiosity-driven, detail-oriented, and collaborative mindset Proficiency in Microsoft Office Suite Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Career Category Information Systems Job Description Role Name: BI Platform Administrator ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 45 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The role is responsible for performance monitoring, maintenance, and reliable operation of BI Platforms, BI servers and database. This role involves managing BI Servers and User Admin Management for different environments, ensuring data is stored and retrieved efficiently, and safeguarding sensitive information and ensuring the uptime, performance, and security of IT infrastructure & Software maintenance. We are seeking a skilled BI Platform Administrator to manage, maintain, and optimize our enterprise Power BI, Spotfire and Tableau platforms . The ideal candidate will ensure seamless performance, governance, user access, platform upgrades, troubleshooting, and best practices across our BI environments. Roles & Responsibilities: Administer and maintain Spotfire, Power BI Service, Power BI Report Server, and Tableau Server/Online/any Cloud platforms (AWS, Azure/GCP). Preferred AWS Cloud experience. Configure, monitor, and optimize performance, capacity, and availability of BI platforms. Set up and manage user roles, permissions, and security policies. Manage BI platform upgrades, patches, and migrations. Monitor scheduled data refreshes and troubleshoot failures. Implement governance frameworks to ensure compliance with data policies. Collaborate with BI developers, data engineers, and business users for efficient platform usage. Automate routine administrative tasks using scripts (PowerShell, Python, etc. ). Create and maintain documentation of configurations and operational procedures. Install, configure, and maintain BI tools on different operating systems, servers, and applications to ensure their reliability and performance Monitor Platform performance and uptime, addressing any issues that arise promptly to prevent service interruptions Implement and maintain security measures to protect Platforms from unauthorized access, vulnerabilities, and other threats Manage backup procedures and ensure data is securely backed up and recoverable in case of system failures Provide technical support to users, troubleshooting and resolving issues related to system access, performance, and software Apply operating system updates, patches, and configuration changes as necessary Maintain detailed documentation of Platform configurations, procedures, and change management Work closely with network administrators, database administrators, and other IT professionals to ensure that Platforms are integrated and functioning optimally Install, configure, and maintain database management Platforms (BI), ensuring services are reliable and perform optimally Monitor and optimize database performance, including query tuning, indexing, and resource allocation Maintain detailed documentation of Platform configurations, procedures, and policies Work closely with developers, Date Engineers, system administrators, and other IT staff to support database-related needs and ensure optimal platform performance Basic Qualifications and Experience: Over all 5+ years of experience in maintaining Administration on BI Platforms is preferred. 3+ years of experience administering Power BI Service and/or Power BI Report Server or 3+ years of experience administering Spotfire 2+ years of experience administering Tableau Server or Tableau Cloud . Strong knowledge of Active Directory , SSO/SAML , and Role-Based Access Control (RBAC). Experience with platform monitoring and troubleshooting (Power BI Gateway logs, Tableau logs, etc. ). Experience with Spotfire webservers, caching, or application server architecture Scripting experience (e. g. , PowerShell , DAX , or Python ) for automation and monitoring. Strong understanding of data governance , row-level security , and compliance practices. Experience working with enterprise data sources (SQL Server, Snowflake, Oracle, etc. ). Familiarity with capacity planning , load balancing , and scaling strategies for BI tools. Functional Skills: Should Have: Knowledge of Power BI Premium Capacity Management , Tableau Resource Management, or Spotfire Caching and application server. Experience interacting directly with end users Experience integrating BI platforms with CI/CD pipelines and DevOps tools. Hands-on experience in user adoption tracking , audit logging, and license management. Ability to conduct health checks and implement performance tuning recommendations. Understanding of multi-tenant environments or large-scale deployments . Good to Have: Experience with Power BI REST API or Tableau REST API for automation. Familiarity with AWS Services and/or AWS equivalents. Background in data visualization or report development for better user collaboration. Exposure to other BI tools (e. g. , Looker, Qlik, MicroStrategy). Knowledge of ITIL practices or experience working in a ticket-based support environment. Experience in a regulated industry (finance, healthcare, etc. ) with strong compliance requirements. Education & Experience : Master s degree with 3-7+ years of experience in Business, Engineering, IT or related field OR Bachelor s degree with 5-9 years of experience in Business, Engineering, IT or related field OR Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Ready to Apply for the Job We highly recommend utilizing Workdays robust Career Profile feature to complete the application process. A link to update your profile is available when you click Apply . You can then complete your Workday profile in minutes with the Upload My Experience functionality to upload an updated copy of your resume or you can simply edit the individual sections of your Career Profile. Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a Partially Meets Expectations or higher. Please visit our Internal Transfer Guidelines for more detailed information .

Title: Product Analyst Location : Bangalore ( 5 days WFO) Brief Description of Company : Niyo was founded in 2015 with the vision of changing the way Indians approach their finances - no matter where they work, what they earn, or how tech-savvy they are. To date, we’ve raised $179.3 Million in funding, and have maintained a sharp focus on identifying customers’ banking pain points and crafting solutions that improve their experience. Job Description We have millions of active monthly visitors. We have access to a huge amount of data and insights, which will enable us to take our product to the next level. Our cross functional teams are made up of Data Scientist, Software Engineers and Data Engineers. We are solving real life, current problems, and utilizing Machine Learning / Deep Learning techniques alongside Software Development to provide our users with a unique Experience.We are looking for an outstanding, hands-on Business Analyst / Product Analyst, adept at not only understanding and interpreting data, but who can help us structure and scale all analytics requirements of the organization and influencing change in the organization. You should be a self -starter with an entrepreneurial spirit, able to think outside the box and take initiative. You should be smart, passionate, and dedicated to building a great business. Responsibilities Take ownership of analytical projects end to end from extracting and exploring data, generating hypotheses, building a structured analysis, and rigorously evaluating methods and results. Provide analytical and valuable insights for decision-making support for key projects and management. Work closely with various business functions to identify opportunities, analyze, and interpret trends and patterns in complex data sets using different techniques and tools. You are numbers driven and have some experience generating custom reports and dashboards for end users. Communicate findings and propose actionable recommendations to address the problems. Experience 2–4 years experience in Product Analytics domain (Freshers with relevant education background, preferably Engineering / Finance degree at Bachelors’ level + MBA degree from top college) Statistical Techniques Strong on statistics and analytical skills to extract insights and recommendations. Technical expertise regarding data models, database designs development, data mining and segmentation techniques. Programming And Tools Hands-on experience in writing advanced SQL queries and handling, wrangling, aggregating, transforming data. Hands-on experience in Python (good to have) Knowledge of data visualization tools like Tableau, MicroStrategy, QlikView etc. Proficiency in conducting complex analysis in Microsoft Excel or Google Sheets. Communication Ability to communicate qualitative and quantitative results clearly, succinctly and confidently in verbal and written communications.

Description Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role. Responsibilities Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value Navigate ambiguity to develop analytic solutions and shape work for junior team members 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2994624

Description Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management, expense auditing, accounting, payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world. We are looking for an innovative, hands-on and customer-obsessed candidate for this role. Candidate must be detail oriented, have superior verbal and written communication skills, and should be able to juggle multiple tasks at once. The candidate must be able to make sound judgments and get the right things done. We seek a Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and have the ability to strongly utilize the GenAI technologies to analyse and solving problem, able to collaborate with product, business & tech teams. The successful candidate will demonstrate the ability to work independently and learn quickly, quick comprehension of Transportation Finance system functions and have passion for data and analytics, be a self-starter comfortable with ambiguity, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this space. Key job responsibilities Translate business problems into analytical requirements and define expected output Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Responsible for deep-dive analysis on key metrics. Create & execute analytical approach to solve the problem inline with stakeholder expectation Strongly leveraging GenAI technologies to solve problems and building solutions Be the domain expert and have knowledge of data availability from various sources. Execute solution with scalable development practices in scripting, write & optimize SQL queries, reporting, data extraction and data visualization. Proactively and independently work with stakeholders to construct use cases and associated standardized outputs for your work Actively manage the timeline and deliverables of projects, focusing on interactions in the team About The Team Transportation Financial Systems (TFS) owns the technology components that perform the financial activities for transportation business. These systems are used across all transportation programs and retail expansion to new geographies. TFS systems provide financial document creation & management, expense auditing, accounting, payments and cost allocation functions. Our new generation products are highly scalable and operate at finer level granularity to reconcile every dollar in transportation financial accounts with zero manual entries or corrections. The goal is to develop global product suite for all freight modes touching every single package movement across Amazon. Our mission is to abstract logistics complexities from financial world and financial complexities from logistics world. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3003955

- 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) The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer (BIE) to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be fearless in implementing them in suitable situations. A Business Intelligence Engineer (BIE) at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities • Design and develop robust, scalable, and high-performance BI architectures and data models to address GREF's business intelligence requirements • Build visually engaging, interactive dashboards and reports that provide valuable insights to GREF stakeholders using Amazon QuickSight • Collaborate closely with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive value for the GREF organization • Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages • Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutions • Continually evaluate and recommend new BI tools and technologies to enhance GREF's analytical capabilities 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.