19733 Visualization Jobs

Line of Service Tax Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary : We are seeking a highly skilled and passionate Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will be responsible for developing, implementing, and optimizing cutting-edge generative models to create innovative solutions in the area of content creation, document processing, code generation, etc. You will work closely with product managers to translate research into impactful products and services. Responsibilities: As an AI Engineer with experience of 3 to 4 years, you will be responsible for providing technical solution to Business problem. You need to deliver solutions with right quality on right time and with optimum cost. Model Development and Implementation: Strong understanding of deep learning concepts and techniques, particularly in generative models. Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc. Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. Proficiency in programming languages such as Python. Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Proven experience in developing and deploying generative AI models. Experience with large-scale data processing and analysis. Experience working with different data modalities (e.g., images, text, audio). Model Development and Implementation: Design, develop, and train state-of-the-art generative models (e.g., GANs, VAEs, Transformers, Diffusion Models) for various applications. Implement and optimize deep learning architectures for efficient training and inference. Experiment with different model architectures, hyperparameters, and training techniques to improve performance. Collect, clean, and preprocess large datasets for training generative models. Evaluation and Optimization: Evaluate the performance of generative models using appropriate metrics and benchmarks. Identify and address performance bottlenecks and improve model efficiency. Conduct thorough testing and validation to ensure model reliability and robustness. Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. Stay up-to-date with the latest advancements in generative AI and deep learning. Deployment and Maintenance: Deploy trained models to production environments. Monitor model performance and maintain model stability. Troubleshoot and resolve issues related to model deployment and performance. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Passion for innovation and continuous learning. Mandatory skill sets: Gen AI Engineer Preferred skill sets: Gen AI Engineer Years of experience required: 3 to 7 Yrs Education qualification: B.Tech/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Genetic Engineering Optional Skills Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Experience in Internal Audit/ Process Audit concepts & methodology Processes, Sub-processes, and Activities as well as their relationship Must be proficient in MS- Office Sarbanes Oxley Act (SOX)/ IFC Reviews, SOP’s Internal control concepts (e.g., Preventive Controls; Detective Controls; Risk Assessment; Anti-fraud Controls; etc.) Mandatory Skill Sets Experience in Internal Audit/ Process Audit concepts & methodology Processes, Sub-processes, and Activities as well as their relationship Sarbanes Oxley Act (SOX) Internal control concepts (e.g., Preventive Controls; Detective Controls; Anti-fraud Controls; etc.) IT System(s) in use/ ERP Environment Other applicable common laws (e.g., Income Tax Act 1967, Companies Act 1956, Prevention of Food Adulteration Act, etc.) Comfortable working on an IC model or leading a team of Specialist/ Associate Collaboration with the different stakeholders on the complex assessment issues to develop possible recommendations Documents findings and proposes recommendations that deal with root cause of issues and impact to the organization Should be able to assist with the timely completion of tasks, development of client deliverables and status reporting. GRCAPM Preferred Skill Sets Client and internal stakeholder management 2. Project / delivery management Experience with analysis in high volume data environments. Years Of Experience Required 0-1 Years Education Qualification Any Graduation Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Commerce, Chartered Accountant Diploma, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Internal Auditing Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Senior Associate Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: Brief note on the requirement is given below: Risk Assurance Services (RAS) is one of PwC’s high growth verticals. It supports clients in defining their strategy, formulating business objectives and managing performance while achieving a balance between risk and opportunity or return. Our services within the Risk Assurance practice cover the entire risk & controls spectrum across Internal Audit, Governance, Risk & Controls, Contract & Compliance, Data analytics etc. Technical Skills: Experience in Internal Audit/ Process Audit concepts & methodology Processes, Sub-processes, and Activities as well as their relationship Must be proficient in MS- Office Sarbanes Oxley Act (SOX)/ IFC Reviews, SOP’s Internal control concepts (e.g., Preventive Controls; Detective Controls; Risk Assessment; Anti-fraud Controls; etc.) Soft Skills: Clarity of thought, articulation, and expression Takes ownership, sincere and focused on execution Confident and good verbal communication skills Ability to organize, prioritize and meet deadlines Mandatory Skill Sets: Internal Audit Preferred Skill Sets: Internal Audit Years Of Experience Required: 4 to 8 Years Education Qualification: MBA/ M.Com/ MCA/ CA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Chartered Accountant Diploma Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Internal Audit Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Job Title: Business Analyst Intern Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline: 03rd August 2025 About Unified Mentor Unified Mentor empowers aspiring business analysts by providing practical, project-based learning to bridge the gap between academic theory and industry expectations. Responsibilities ✅ Analyze business processes, gather requirements, and identify areas for improvement. ✅ Prepare reports, dashboards, and visualizations to support decision-making. ✅ Assist in creating and documenting business cases, workflows, and use cases. ✅ Collaborate with stakeholders, developers, and teams to understand business needs. ✅ Support in market and competitor analysis as required. Requirements 🎓 Enrolled in or recent graduate of a Business, Analytics, or related program. 📊 Familiar with Excel, PowerPoint, and data visualization tools (Power BI/Tableau preferred). 🧠 Basic understanding of business analysis techniques and tools. 🗣 Excellent communication, analytical, and problem-solving skills. Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical exposure to real-world business problems and solutions. ✔ Certificate of Internship and Letter of Recommendation. ✔ Opportunity to contribute to live business analysis projects. How to Apply 📩 Submit your application by 03rd August 2025 Equal Opportunity Unified Mentor welcomes applicants from all backgrounds.

About Hannoworks Hannoworks designs cutting-edge AI solutions, blending business strategy and advanced technology. As part of our mission-driven team, you’ll help decode the world’s most innovative company business models and dissect the tech driving them forward. Job Description As AI Research Analyst (Intern) at Hannoworks, you will dive deep into how different companies operate, analyze their core business models, and investigate the underlying tech stacks—especially in digital and AI-powered products. You’ll not just skim the surface but explore the granular details that set successful business and technology strategies apart in a competitive world. Responsibilities Analyze and Compare Business Models: Explore, document, and contrast diverse company business models such as product, service, subscription, marketplace, and bundling. Deep Tech Stack Research: Map out typical technology stacks for AI companies (including infrastructure, data pipelines, ML frameworks, cloud platforms) and assess how these choices align with products and business value. RAG Systems & AI Native Products: Research RAG (Retrieval-Augmented Generation) architectures and the ecosystem of AI-native digital products, identifying what makes advanced AI integration successful or innovative. Real-World Product Insight: Study digital products—from cloud SaaS to consumer AI tools—to understand market fit, monetization, and the tech powering them. Present Research: Summarize findings in clear, well-structured reports (written and visual), and present insights to research and product teams. Qualification Open qualification —if you have the skills, you are welcome. Skills and Requirements Python Basics: Comfortable using Python for research, scripting, or automation tasks. Project Portfolio: At least one AI or tech project demonstrable on your GitHub profile. Curiosity for Tech & AI: Genuinely passionate about technology, with a habit of exploring, tinkering, and learning—especially around latest AI/ML and digital product trends. Understanding of Digital AI Products: Familiar with modern digital tools and platforms leveraging AI (can explain the value they create). Knowledge of RAG Systems: Understand how retrieval-augmented generation works, and can discuss its application in AI products. AI-Native Mindset: An “AI native”—someone who intuitively grasps how AI stacks, agents, and emerging products come together to create business and technical value. Communication: Ability to document research clearly and share insights—both in writing and when presenting. Self-driven: Independent learner, able to set research direction with minimal supervision. Bonus Points Familiarity with business frameworks (e.g., B2B, B2C, SaaS, freemium, marketplace, etc.). Experience with data visualization or reporting tools. Prior work on AI-powered or digital products—even if just prototypes.

Job Role : Campaign Marketing Specialist/ Manager Location: Mohali (Work from office) Experience:5+ years Shift Timings- 8:30 PM – 5:30 AM IST About the role We are seeking an experienced and highly organized Campaign Marketing Specialist with a minimum of 5 years in managing campaign operations on Salesforce Marketing Cloud (SFMC). This role is ideal for a strategic thinker who excels at project management, campaign reporting, and operations within SFMC. A successful candidate should possess a strong understanding of SFMC's various studios and have the ability to guide campaign execution and reporting across multiple tools, including SQL-based analytics and performance dashboarding platforms. Key Responsibilities Campaign Operations : Oversee and manage end-to-end campaign operations on SFMC, ensuring efficient and timely execution. Collaborate with marketing teams to align campaign objectives with business goals. Project Management : Lead and manage project timelines, resources, and tasks for campaign workflows, ensuring smooth operation from planning through execution and reporting. Reporting Analytics : Track, measure, and report on the performance of marketing campaigns. Develop and maintain campaign dashboards using tools like Incorta, Tableau, and SFMC Analytics, providing insights into KPIs, engagement, and conversion. SQL Data Management : Utilize SQL to pull and analyze customer data for segmentation, reporting, and performance measurement. Ensure data accuracy and integrity across campaigns. SFMC Platform Knowledge : Leverage SFMCs studios such as Journey Builder, Automation Studio, Email Studio, and Audience Builder for campaign operations and reporting. Ability to coordinate technical resources as needed for complex requirements. Strategic Collaboration : Partner with cross-functional teams, including marketing, data analytics, and creative teams, to develop integrated campaigns that align with the broader marketing strategy. Optimization Best Practices: Drive optimization initiatives by implementing A/B testing, analyzing campaign performance, and recommending best practices for deliverability, engagement, and conversion. Compliance Data Privacy: Ensure all campaigns adhere to relevant data privacy regulations (e.g., GDPR, CAN-SPAM) and company policies. Who you are and what you bring Bachelor's degree in marketing, Business, Data Analytics, or a related field. 5+ years of experience in marketing operations, specifically in managing campaigns on SFMC. Proficiency in SQL for data segmentation, reporting, and analytics. Strong familiarity with SFMC's studios (e.g., Journey Builder, Automation Studio, Email Studio); hands-on expertise is a plus but not required. Proven experience with project management and the ability to drive projects from start to finish. Skilled in data visualization and analytics, with experience building dashboards on platforms like Tableau, Incorta, or similar. Strong understanding of marketing strategy and ability to analyze and interpret campaign data to inform business decisions. Excellent communication and collaboration skills, with an ability to work effectively across departments and present insights to stakeholders. Qualifications Preferred Skills Experience with other Salesforce platforms (e.g., Sales Cloud, Service Cloud) is advantageous. Knowledge of marketing automation best practices, A/B testing, and marketing funnel optimization. Familiarity with regulatory compliance and data privacy requirements, including GDPR and CAN-SPAM. Additional Information Interested candidates can share their resume on recruitment@safeaeon.com

DESCRIPTION Within Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally. We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results. Key job responsibilities We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. BASIC QUALIFICATIONS 3+ years of tax, finance or a related analytical field experience 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL PREFERRED QUALIFICATIONS 3+ years of business analyst, data analyst or similar role experience Experience working in risk, fraud, or ML organizations. Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders. Familiar with defining configuration specifications and business analysis requirements Experience working in risk, fraud or compliance organizations. - Advance SQL proficiency -write complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reports 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.

DESCRIPTION Amazon Business Customer Support (ABCS) is looking for a Business Intelligence Engineer to help build next generation metrics and drive business analytics that have measurable impact. The successful candidate will have a strong understanding of different businesses and customer profiles - the underlying analytics, and the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. BIEs also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics. As a Business Intelligence Engineer, you will develop strategic reports, design UIs and drive projects to support ABCS decision making. This role is inherently cross-functional — you will work closely with finance teams, engineering, and leadership across Amazon Business Customer Service. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You should be skilled in database design, be comfortable dealing with large and complex data sets, and have experience building self-service dashboards and using visualization tools especially Tableau. You should have strong analytical and communication skills. You will work with a team of analytics professionals who are passionate about using machine learning to build automated systems and solve problems that matter to our customers. Your work will directly impact our customers and operations. Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to complex problems while working hard, having fun, and making history, this may be the opportunity for you. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business. Key job responsibilities Scope, Design, and build database structure and schema. Create data pipelines using ETL connections/ SQL queries. Retrieve and analyze data using a broad set of Amazon's data technologies. Pull data on an ad-hoc basis using SQL queries. Design, build and maintain automated reporting and dashboards Conduct deep dives to identify root causes of pain points and opportunities For improvement: Become a subject matter expert in AB CS data, and support team members in Dive deep: Work closely with CSBI teams to ensure ABCS uses Globally alleged standard Metrics and definition: Collaborate with finance, business to gather data and metrics requirements. A day in the life We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to facilitate visual interpretation of data from multiple sources and use this information to develop data driven solutions as per the client’s requirements. ͏ Do 1. Develop valuable insights from multiple data source as per client requirements a. Customer engagement and requirements gathering i. Understand customer needs and objectives, technology trends and requirements to define how data will be seen as final output ii. Develop wireframes, prototypes, use cases in order to demonstrate the final data output as is required by customer iii. Analyse, propose and implement the data technology and tools used for data visualization iv. Provide solutioning of RFPs received from clients and ensure the final data output is as per business needs v. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view b. Design and Implementation of data visual aspects i. Architect and build data visualization capabilities to produce classical BI dashboards and solutions ii. Create the solutions by using a variety of data mining/data analysis methods, variety of data tools, data models and data semantics iii. Contribute to the design and implementation of the data platform architecture related to data visualization needs iv. Collaborate with other data architects to establish and run a data governance processes v. Manage metadata, semantic layer data on data domains and other enterprise data assets vi. Identify problem areas and perform root cause analysis of overall data flow and provide relevant solutions to the problem c. Enable Pre-Sales Team i. Support pre-sales team while presenting the entire data design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create visual data output as proposed iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor ͏ 2. Capability Building and Team Management a. Ensure completion of necessary trainings and certifications b. Develop and present a point of view of Wipro on data visualization concepts and architect by writing white papers, blogs etc. c. Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) d. Mentor developers, designers and Junior architects for their further career development and enhancement e. Anticipate new talent requirements as per the market/ industry trends or client requirements f. Hire adequate and right resources for the team g. Contribute to the data visualization practice by conducting selection interviews etc ͏ ͏ Deliver No Performance Parameter Measure 1. Project Delivery Quality of design/ architecture, delivery as per cost, quality and timeline. Mandatory Skills: Geographic Info. Systems(Car support). Experience: >10 YEARS. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

DESCRIPTION AOP team within Amazon Transportation is looking for an innovative, hands-on and customer-obsessed Business Intelligence Engineer for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams [January 21, 2025, 1:30 PM] Dhingra, Gunjit: Day in life A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.

Job Description Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills – Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) – Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

Job Description Overview This role will play a pivotal role within the Control & Governance team of the procurement team and has a main objective to contribute to risk mitigation, policy implementation, and the overall effectiveness of our procurement governance framework for AMESA Sector (Ind and Pak) and APAC sector (ANZ market). Purpose Work with key stakeholders to maximize the main benefits that myBUY has for the company in terms of: Compliance & Policy Adherence: Guarantee all in-scope purchases are aligned to the corporate policy and procedures. Risk Assessment and Mitigation: identify potential risks and implement risk mitigation strategies. Process Standardization: Closely work with myBUY control, compliance and governance GPO to drive standardization across all sectors. Scope The function holder is covering for AMESA Sector (Ind and Pak) and APAC sector (ANZ market). Responsibilities Compliance & Policy Adherence Monitor procurement activities to ensure strict compliance with internal policies, procedures, and relevant regulatory requirements. Conduct regular reviews of purchase orders to identify any deviations/non-compliant activities from the policy. Continuously monitor changes in relevant global policies and regulations and perform impact analysis on the existing controls and implement the required changes to the controls upon alignment from controls team. Ensure the myBUY Policies and guidelines are in line with P2P and Global Procurement policy and guidelines. Collaborate with key stakeholders from control and procurement teams to develop, update, and communicate procurement controls matrix. Prepare training materials to employees within the department to enhance awareness of compliance obligations. Ensure that the GCS scope controls are executed as per the controls design matrix and ensure the same has been documented in the GCS portal on timely manner. Act as a liaison between the procurement department, Internal & External auditor management. Collaborate during audits, providing necessary documentation, explanations, and implementing corrective actions in a timely manner. Risk Assessment and Mitigation Develop and implement risk mitigation strategies, working closely with procurement stakeholders and continuously monitor the effectiveness of these strategies and make adjustments as needed. (e.g.: Governance calls) Support and review myBUY CR initiatives/system upgrade with subject matter experts (SMEs) in AMESA and APAC. Process Standardization Closely work with myBUY myBUY control, compliance and governance GPO to drive standardization across all sectors. Qualifications Bachelor degree in Finance/Supply Chain Management/Accounting/Business Administration. A master degree is a plus 6+ Years of experience required Functional knowledge: Depth of different aspects of Procurement such as processes and tools, knowledge in Food & Beverage industry a plus Experience in sourcing processes and technologies, with experience of implementing them in a global and regional environment Advanced proficiency in data analysis tools, including Microsoft Excel (e.g., advanced formulas, pivot tables, data validation); data visualization tools skills like Tableau or PowerBI is a plus Strong communication & negotiation skills Results Oriented – comfortable setting and delivering against bold, stretch targets English essential, both verbal and in writing Comfortable working within matrix organization Affinity with technology applications and business processes and the impact on people Strong analytical, problem solving, and root cause identification skills Solid understanding of the PepsiCo organization and cultural differences Differentiating Competencies Required Decision making Work under pressure Cross functional teamwork skills Collaboration and influence Act with Integrity Experience with large-scale organizational change effort Ability to flex to collaborate with people in different locations of various time zones Ability to translate complex situations into executive level communication

Job Description Overview This role is designed for an experienced Business Analyst who will play a pivotal part in driving data-driven decision-making and process optimization for North America Data Product Management team.The ideal candidate will combine advanced analytics skills, deep SQL expertise, and practical data engineering knowledge with a strong understanding of the FMCG Domain. You will work cross-functionally to transform business requirements into actionable insights and scalable solutions, supporting both strategic and operational objectives. Responsibilities Business Process Analysis & Optimization Analyze existing business processes, identify improvement opportunities, and recommend solutions that enhance efficiency, reduce costs, and drive growth within the beverages sector. Collaborate with stakeholders to map and document end-to-end business processes and data flows. Data Analysis & Reporting Design, write, and optimize complex SQL queries to extract, manipulate, and analyze large datasets from multiple sources. Develop and maintain dashboards, reports, and KPIs that provide actionable insights to business leaders and operational teams. Requirements Gathering & Solution Design Engage with business stakeholders to gather, document, and prioritize business and functional requirements for analytics, reporting, and data engineering projects. Translate business needs into technical specifications for development teams, ensuring alignment with business goals. Data Engineering Support Work closely with data engineering teams to support the design, development, and maintenance of robust data pipelines and data models. Participate in data migration, integration, and transformation projects, ensuring data quality and integrity throughout. Domain Expertise & Stakeholder Engagement Leverage deep domain knowledge of the beverages industry to provide context for data analysis, interpret trends, and recommend relevant business actions. Act as a trusted advisor to business partners, fostering strong relationships and ensuring solutions are tailored to sector needs. Continuous Improvement & Innovation Stay up to date with industry trends, best practices, and new technologies in analytics, data engineering, and the beverages sector. Proactively identify and champion opportunities for process automation, digitalization, and innovation. Qualifications Education: Bachelor’s or Master’s degree in Business, Computer Science, Engineering, Statistics, or a related field. Experience: 7–9 years in business analysis, data analytics, or a related field within the consumer goods, beverages, or FMCG industry. SQL Expertise: Advanced proficiency in SQL for data extraction, manipulation, and analysis. Data Engineering: Experience working with data pipelines, ETL processes, and data modeling (hands-on or in close partnership with data engineering teams). Domain Knowledge: Strong understanding of the beverages industry, including market dynamics, supply chain, sales, and marketing operations. Analytical Thinking: Ability to synthesize complex data from multiple sources, identify trends, and provide clear, actionable recommendations. Communication: Excellent written and verbal communication skills; able to translate technical concepts for non-technical stakeholders and vice versa. Stakeholder Management: Proven ability to work cross-functionally, manage multiple priorities, and build strong relationships with business and technical teams. Problem-Solving: Solution-oriented mindset with a track record of driving process improvements and delivering business value. Preferred Qualifications Experience with data visualization tools (e.g., Power BI, Tableau). Familiarity with cloud data platforms (e.g., Azure, AWS, GCP). Knowledge of Python or R for data analysis (a plus). Previous experience in a data product or digital transformation environment.

DESCRIPTION Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. BASIC QUALIFICATIONS 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business 4+ years of ecommerce, transportation, finance or related analytical field experience PREFERRED QUALIFICATIONS Experience in Statistical Analysis packages such as R, SAS and Matlab Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.

Requisition Id : 1601021 The opportunity EY is looking for Senior Consultant/ Consultant – Digital Factory UI Analyst Your key responsibilities To identify right visualization platforms for the various solutions in Factory of the Future To support the team in designing the right technical architecture To build User Interfaces for all solution offerings in the package To develop PoCs for GTM activities (would need accelerated development of PoCs for sector based customizations - as suggested by SMRs) Skills and attributes for success Experienced with open source and Microsoft tools and frameworks for UI implementation. 3+ cloud based implementation IoT implementation related Time series and geo-spatial visualization of real-time data To qualify for the role you must have A relevant graduate or post graduate degree Minimum 3 years of UI design for web-based industrial applications. Digital Factory related shop floor HMI and application UI design will be a strong positive Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

Job Description The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys’ IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Join our company as a SharePoint Developer and be part of our innovative journey! Our team is dedicated to developing and maintaining SharePoint solutions that enhance collaboration and productivity. As a SharePoint Developer, you will design, develop, test, and maintain SharePoint applications, leveraging Power Automate and other tools to streamline processes. What will you do in this role Take full ownership of SharePoint development projects to architect, design, code, verify, test, and document custom SharePoint applications. Utilize Power Automate to create workflows that automate business processes and improve efficiency. Work within Agile methodologies, using tools like Jira and Confluence to manage tasks and collaborate with team members. Identify improvements to and new practices aligned to Technology Engineering standards & strategy and contribute to the Technology Engineering Practices within the product line where you work. Collaborate with other practitioners to implement our roadmap and ensure successful project delivery. What should you have Bachelor's degree in Information Technology, Computer Science, or any technology stream. 3+ years of experience developing SharePoint applications and solutions. Proficiency in Power Automate, SharePoint Online, and related technologies. Experience working in Agile environments and familiarity with tools like Jira and Confluence. Knowledge of JIRA Automation. Strong aptitude for learning new technologies and methodologies. Ability to work individually as well as part of a team, demonstrating strong collaboration and communication skills. Familiarity with AI technologies such as GPT and Copilot. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. HYDIT2025. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing Preferred Skills: Job Posting End Date: 08/25/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R359256

Job Description Overview The Transportation Modeler / Blue Yonder TMS Specialist primary responsibilities include: Led end-to-end transportation modeling initiatives, ensuring alignment with business goals and system capabilities. Managed and maintained master data to meet all transportation modeling and optimization requirements. Collaborated with gTMS GCC team members and Sector SMEs to define modeling scope and align on opportunity assessment plans. Supported new deployments, system restarts, sustainment activities, and upgrade implementations, ensuring smooth transitions and minimal disruptions. Delivered solution training and provided ongoing data management support to enable user adoption and model accuracy. Conducted in-depth analytics and benchmarking studies to identify performance gaps and drive continuous improvement. Responsibilities Lead the transportation modeling of targeted markets using Blue Yonder TMS and TMS historical data. Modeling should assess a wide range of alternative improvement strategies to maintain or advance competitiveness in the markets transportation network. This may include considering different mode/carrier alternatives, employing unique hub or consolidation approaches, right-sizing your private or dedicated fleet(s), or evaluating alternative delivery models. Co-develop the initiative roadmap that is a result of the modeling work with Sector / Market leaders. Support new market deployments, TMS software upgrades, and continuous improvement assessments in partnership with Sector Transport organization. Analyze the modeling results and provide insight to include items like appropriate fleet sizing, analyze the impact of mode shifting, and evaluate optimal customer routing. Develop and confirm datasets and files used to support the application of the modeling software. Generate a wide variety of reports and presentations to convey technical transportation results to various audiences. Coordinate a review of the modeling results and findings / recommendations with key stakeholders in each Sector / Market. Qualifications Fluent in English 9 – 12 of over all years of experience in TM Master's degree, in Supply Chain Mgmt. or in a quantitative field such as Statistics, Applied Mathematics, Data Science Minimum of 4-6 years of experience in transportation modeling, logistics and supply chain optimization in CPG environment. Prior work experience must include a minimum of 2 years of experience in the following areas: Experience with TMS tool and modeling software (TMOD) Strong experience with data mining and data analysis Demonstrated experience communicating data insights to others, including use of data visualization tools (Tableau, Power BI)

Job Description Overview We are seeking a highly motivated and detail-oriented Junior PMO Analyst to join our Portfolio Management Office (PMO) within the Business Intelligence & Reporting (BI&R) function. Supporting a large global team, this role is critical in enabling operational excellence, tracking delivery across strategic initiatives, and ensuring effective governance and reporting mechanisms. The ideal candidate will bring strong analytical skills, structured thinking, and a proactive attitude to support headcount planning, financial tracking, productivity reporting, and executive communication. You will collaborate closely with cross-functional reporting leads and drive visibility, control, and standardization across the BI&R portfolio.Portfolio Tracking & Governance Support tracking of strategic initiatives, OKRs, and delivery milestones across BI&R functions. Maintain up-to-date dashboards/reports for leadership visibility on progress, risks, and KPIs. Ensure accurate documentation of initiative status, dependencies, and owners. Headcount & Resource Management Assist in maintaining the resource allocation tracker, including hiring plans, onboarding/offboarding status, and backfill needs. Collaborate with function leads to track redeployments, talent movement, and productivity optimization initiatives. Responsibilities Financial & Productivity Reporting Support budgeting exercises and monthly budget readiness tracking (labor and non-labor). Track and reconcile planned vs. actual productivity savings across the BI&R portfolio. Prepare reports for financial governance reviews. PMO Operations & Standardization Own templates, trackers, and PMO operating cadences (weekly, monthly, quarterly). Support planning and execution of leadership reviews, retrospectives, and cadence reviews. Drive standardization of documentation, process hygiene, and operating model consistency. Communication & Collaboration Collaboration with cross-fucntional teams Qualifications Summarize key actions and insights from cross-functional meetings and ensure timely follow-up. Prepare executive-ready presentations and communication briefs.MBA from a Tier-1 or Tier-2 B-School (IIMs, ISB, XLRI, SP Jain, MDI, etc.) or relevant post-graduate degree in Business, Analytics, or Operations. Project Management certifications are preferred (e.g., PMP, Prince2, CAPM, Lean/Six Sigma certification). Experience 4+ years (for Top Tier institutions) / 6+ years (for other institutions) of experience in PMO, business operations, strategy execution, or project coordination roles. Prior experience in large-scale teams, preferably in analytics, technology, or enterprise transformation environments. Skills Strong proficiency in Excel, PowerPoint, and collaboration tools (MS Teams, SharePoint, OneNote). Experience working with Power BI or basic data handling/visualization is a plus. Strong analytical mindset with attention to detail. Excellent written and verbal communication skills, including executive-level reporting. High ownership, proactiveness, and ability to work across time zones and stakeholder groups

Job requisition ID :: 86795 Date: Aug 1, 2025 Location: Hyderabad Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP Audit & Assurance/Audit(A&A) IT Audit /Analytics - Consultant Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Assurance is about much more than just the numbers. It’s about attesting to accomplishments and challenges and helping to assure strong foundations for future aspirations. Deloitte exemplifies the what, how, and why of change so you’re always ready to act ahead. Learn more about Audit & Assurance Practice Your work profile In our Assurance (A&A) Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. Job Description Roles and Responsibilities At Deloitte, you are expected to contribute to the firm's growth and development in a variety of ways, including: Eligibility criteria and requirements: SAP Analytics Cloud (SAC): Skilled in designing and implementing comprehensive dashboards and planning models, with experience in SAC storyboards, data preparation, and integration with SAP ERP and BW systems. Business Intelligence Tools: Proficient in Power BI or Tableau, capable of creating interactive reports, optimizing performance, and following visualization best practices. Programming: Strong knowledge of Python, including libraries such as Pandas, NumPy, and Scikit-learn, for data manipulation, automation, and building advanced analytics solutions. Machine Learning: Hands-on experience with developing and deploying machine learning models to solve real-world business challenges. Finance Domain Expertise: In-depth understanding of finance processes, financial reporting, and key performance indicators relevant to the finance function. This domain knowledge is critical to effectively translate business requirements into technical solutions. Data Engineering: Experience with data pipelines, ETL workflows, and cloud data platforms is preferred Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Assurance is about much more than just the numbers. It’s about attesting to accomplishments and challenges and helping to assure strong foundations for future aspirations. Deloitte exemplifies the what, how, and why of change so you’re always ready to act ahead. Learn more about Audit & Assurance Practice Your work profile In our Assurance (A&A) Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

DESCRIPTION We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful, data backed business decisions. The successful candidate will possess strong fervor for analytics, performance evaluation, setting high standards, accuracy and staying ahead of a dynamic and fast-evolving business. You should have excellent communication skills to be able to work with business leaders and share succinct performance insights. Above all, you should be passionate about people, using AI tools and have deep understanding of Amazon performance evaluation principles. About the team Global Operations-Artificial Intelligence (GO-AI) is a part of Amazon Robotics (AR), an org, in Fulfillment Technologies & Robotics (FTR). GO-AI enables Computer Vision (CV) and ML based automation by delivering high quality data to improve AI and Machine Learning (ML) product lifecycle through ‘near real-time human-in-the-loop’ (NRT HITL) and offline annotations. BASIC QUALIFICATIONS Bachelor's degree or equivalent 3+ years of business analyst, data analyst or similar role experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience Demonstrated proficiency analyzing data, creating dashboard and business reports using SQL 3+ years of program management experience, leading projects involving multiple stakeholders Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders Demonstrated ability to maintain high level of integrity and discretion to handle confidential information Demonstrated written and verbal communication skills and ability to influence without authority Proven ability to present complex information in a clear and concise manner to executives Experience defining requirements and using data and metrics to draw business insights and making business recommendations PREFERRED QUALIFICATIONS Advance SQL proficiency; write complex SQL statements and ability to manipulate a massive amount of data, working knowledge of Python, creating dashboards/on demand reports using Quicksight Experience using AI tools Experience creating scorecards or similar performance evaluation reports Familiar with defining configuration specifications and business analysis requirements 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 Description Entain India is the engineering and delivery powerhouse for Entain, one of the world’s leading global sports and gaming groups. Established in Hyderabad in 2001, we’ve grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide. Our focus on quality at scale drives us to create innovative technology that supports Entain’s mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together. Job Description We are seeking a highly motivated and experienced Analyst to join the Data Governance Assets Team in the Data Trust & Integrity function. The role will require a coordinated cross functional approach, having to continually liaise and negotiate with engineering, business stakeholders/owners. The team are responsible for managing, consolidating, modelling, and cataloging business and technical Data Assets from multiple divisions and teams. You will also support the Data Use Case pipeline through Data Discovery and building/maintaining the necessary data assets/modules within the Data Catalog, and the ongoing Data Warehouse strategic deliveries of Medallion architecture. A high level of collaboration both within the Data Trust and Integrity function but also across the Group Data Office and the wider enterprise will be required. The Data Governance Analyst executes a range of workstreams in delivering the design and implementation of the Data Governance Assets strategy, advancing the organisation's thinking of data governance concepts and understanding of the benefits of data governance, whilst improving Data Literacy. More specifically, supporting the Data Governance Assets Team across the following workstreams: Strategic Personal Data management; data discovery tool, identification process and strategic tagging / metadata design to facilitate Personal Data risk reduction, build, testing and implementation on GDO Enterprise Data/Business Platforms (EDP/EBP) Roll out of Metrics Schema/Framework, Single Version of the Truth via EDC assets adoption and enforce the use of enterprise definitions and calculations for key metrics Build adoption measurement process by road mapping all Entain Group Data Analytics/Science/Finance/Marketing and reporting teams' engagement Design and implement Enterprise Metrics ownership framework in the EDC Provide training and support to all stakeholders on the use of new controls, processes, and procedures, in post-implementation BAU as well as during implementation Design and agree lineage for the EDC, develop test and implement Harvest all required Snowflake (EDP/EBP), Oracle (Platforms), and reporting metadata Define identification of critical data elements to be included in Data Dictionary and lineage build out Migration from Precisely Govern to Data Integrity Suite (DIS) Specialist skills and experience: Experience in data platform controls and processes Strong demonstrable experience of stakeholder management in IT, Business units, Operations, 2&3LoD teams, and senior management Demonstrable experience of articulating, measuring, tracking/reporting benefits & KPIs Basic understanding of User Access, Data Privacy, Data Classification and Data Retention Ability to do database analysis using SQL and/or Python Qualifications Experience in global, scale B2C on-line and retail business/es Experience of working closely with Data Engineers Experience of Data Migrations Experience with data visualization tools to create dashboards and reports like PowerBI Experience of agile project management and using JIRA Additional Information We know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Depending on your role and location, you can expect to receive benefits like: Safe home pickup and home drop (Hyderabad Office Only) Group Mediclaim policy Group Critical Illness policy Communication & Relocation allowance Annual Health check And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. At Entain India, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

About the Role We're looking for a Data Scientist to join the Risk Data Science team to apply a data-driven approach to identify, understand, scope, and remediate emerging fraud trends on Uber platform. In this role, you'll be part of and work closely with a cross-functional team consisting of engineers, product managers, operations, and other data scientists. This role will be responsible for not only measuring but also directly implementing solutions that help improve key performance metrics such as fraud losses, false positives, and operational efficiency. You will require a mix of business and technical acumen and also cross-functional skills to communicate with various internal and external stakeholders. What the Candidate Will Need / Bonus Points - What the Candidate Will Do - Perform statistical analysis to understand Risk / Fraud behaviors, contribute to fraud detection features and models; Build and maintain fraud rules in response to evolving fraud behaviors; Extract insights from the large volumes of data and come up with new strategies to mitigate/stop fraudulent activities; Build deep understanding of the Risk data, reporting, and key metrics; Conduct experimentations to test and optimize the effectiveness of risk mitigation solutions and products. Participate in project definition and idea generation, work on collaborative projects with stakeholders across the globe such as product, engineering, comm ops and data science with a focus on the Risk/Fraud mitigation; Effectively communicate and present findings to the management team to strengthen business decisions. With guidance from manager, define and develop area of expertise; Attend regular training courses, functional business review meetings, and all-hands; Stay highly engaged and always hustle as Uber Risk is a very fast-paced environment - Basic Qualifications - Minimum 1 years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science Bachelors or Masters in Mathematics, Statistics, Computer Science, Operational Research, Economics or other quantitative field. Proven track record of applying analytical/statistical methods to solve real-world problems using big data. Creative problem-solving, critical thinking skills, and get things-done attitude. Advanced SQL expertise. Experience using Python. 1yrs+ experience in improving products, understanding the user journey, and extracting insights from data. Understanding of experimental design and using statistical methods in exploratory analysis. Experience with dashboarding/data visualization (i.e. Google Data Studio, Tableau, Mixpanel, Looker or similar). Comfort with ambiguity and the ability to work in a self-guided manner Superb communication and stakeholder management skills Proven aptitude toward Data Storytelling and Root Cause Analysis using data - Preferred Qualifications - Risk/Fraud/Payments experiences a plus Experience in experimentation, A/B testing and statistical modeling would be a plus Experience in Python/R

Overview: NRM strategy Playbook - Associate plays a pivotal role in our organization, with a primary focus on brand ladder and price pack architecture analysis, Mix Management and Promo Strategy. This role encompasses a range of responsibilities related to optimizing our product and pricing strategies to maximize brand equity, profitability, and consumer engagement. Key responsibilities of the Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate include: Conducting in-depth market research and data analysis to identify and evaluate brand positioning / price pack architecture opportunities Analyzing consumer behavior and preferences to gain insights into how our brand ladder / pricing strategies impact purchasing decisions Developing and refining brand ladder and PPA models and methodologies to streamline decision-making / enhance operational efficiency Collaborating with cross-functional teams to ensure that our brand and pricing strategies align with overarching business objectives and regulatory requirements Utilizing data-driven insights to enhance the overall consumer experience and perception of our brands and pricing structures Contributing to the long-term brand and pricing strategy of the organization, actively participating in the creation of innovative approaches to optimize brand equity and profitability The Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate leverages advanced analytical skills and tools to shape our brand and pricing strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives Responsibilities: Functional Responsibilities Perform advanced analytics using Tableau/Power BI and develop predictive models, regression modeling, price elasticity analysis, and promotion optimization to extract actionable insights from data Collaborate on sector NRM strategic projects, such as promotions optimization, terms priorities, competitor benchmarking, and Price Pack Architecture (PPA) initiatives, to drive revenue realization Conduct statistical and trend analysis to identify market opportunities, highlight sector strengths, and provide recommended corrective actions to enhance performance Monitor existing KPI metrics, develop new relevant metrics, and identify correlations and root causes to support data-driven decision-making Design and build visualization dashboards to accelerate information-to-action at scale, enabling easy access to critical insights for various stakeholders Develop programs, methodologies, and reports for analyzing and presenting data, making data-driven insights accessible and actionable Ensure the timely and accurate submission of reports and data to the Revenue Management teams in line with agreed Service Level Agreements (SLA) Improve the utility of operational and performance data within various teams, supporting Business Intelligence (BI), reporting, analysis, and insights efforts Assist the GBS Commercial lead in developing an ongoing training and capability plan for COE associates, ensuring continuous growth and expertise development within the team Qualifications: Broader data analysis capabilities. Previous experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales Excellent visualisation skills with the ability to translate complex data into actionable solutions and processes, enabling data-driven decision-making Advanced proficiency in Microsoft Excel and a strong command of PowerPoint, with the ability to quickly learn various in-house software applications for data analysis and reporting Working knowledge of Power BI software is added advantage Ability to function effectively in a team environment and collaborate with individuals across the organization, as pricing and promotions strategies often require cross-functional teamwork Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner

Job Description Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualization, and performing predictive and prescriptive analytics approaches for PepsiCo to drive actionable insights for the North American market.Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, RSI, Retail Link, Circana, etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good to have Knowledge on Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills – excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python, R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization, and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan

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 Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Key job responsibilities Design and develop highly available dashboards and metrics using SQL and Excel/Tableau Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Creates and maintains comprehensive business documentation including user stories, acceptance criteria, and process flows that help the BIE understand the context for developing ETL processes and visualization solutions. Performs user acceptance testing and business validation of delivered dashboards and reports, ensuring that BIE-created solutions meet actual operational needs and can be effectively utilized by site managers and operations teams. Monitors business performance metrics and operational KPIs to proactively identify emerging analytical requirements, working with BIEs to rapidly develop solutions that address real-time operational challenges in the dynamic AI-enhanced fulfillment environment. About the team The Global Operations – Artificial Intelligence (GO-AI) team 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. It is operating multiple programs including Nike IDS, Proteus, Sparrow and other new initiatives in partnership with global technology and operations teams. BASIC QUALIFICATIONS Experience defining requirements and using data and metrics to draw business insights Knowledge of SQL Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages Knowledge of Python, VBA, Macros, Selenium scripts 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects PREFERRED QUALIFICATIONS Experience in using AI tools Experience in Amazon Redshift and other AWS technologies for large datasets Analytical mindset and ability to see the big picture and influence others Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions Ability to apply analytical, computer, statistical and quantitative problem solving skills is required Ability to work effectively in a multi-task, high volume environment Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations 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.