15979 Query Jobs - Page 7

Attend query on phone, in person, & mails. Making recommendations according to customer needs and complaints. Dealing with various internal departments/ airlines using web-based tools and demonstrates the associated proficiency Immediate Joining Required Candidate profile Should have knowledge of Airline/Aviation/Travel industry. Knowledge of Amadeus / Galileo. Candidate should have excellent communication and interpersonal Skill.

Company Overview DigiDxDoc is an innovative healthcare technology company leading the glass-to-pixel revolution in digital pathology, transforming traditional microscope-based diagnostics into AI-powered precision medicine solutions. Our comprehensive platform combines affordable whole slide scanners, universal image viewers and intelligent management software with cutting-edge AI algorithms for biomarker quantification (ER, PR, HER2, Ki-67) and automated slide quality detection, enabling pathologists to deliver faster, more accurate diagnoses while advancing personalised cancer treatment strategies. Join our mission to revolutionise medical diagnostics through AI-driven insights that improve patient outcomes and accelerate the future of precision healthcare. Position Summary We are seeking an enthusiastic Full Stack Developer Intern to join our dynamic development team for a 3-6 month internship program. This is an excellent opportunity for students or recent graduates to gain hands-on experience in healthcare technology while learning Python development, API design, and cloud deployment in a mentored environment. The ideal candidate will have foundational programming knowledge and eagerness to learn modern development practices. Key Responsibilities Learning & Development: · Participate in structured learning sessions on Python frameworks (Django, Flask, or FastAPI) · Gain exposure to database design principles and SQL query optimization · Learn software development best practices including code documentation and testing · Understand authentication, authorization, and basic security concepts in web applications · Observe and assist with third-party API integrations Backend Development Support: · Assist in developing and maintaining RESTful APIs under senior developer guidance · Help implement database schemas and write basic database queries · Contribute to writing clean, well-documented code following team standards · Support implementation of basic security measures in applications · Participate in code testing and debugging activities DevOps & Deployment Exposure: · Learn deployment processes on Linux servers and cloud platforms (AWS, Azure, or GCP) · Gain familiarity with CI/CD pipeline concepts and tools · Assist in monitoring application performance and identifying issues · Learn containerization basics using Docker · Understand web server configuration (Nginx, Apache) General: · Participate in code reviews to learn from experienced developers · Collaborate with cross-functional teams and attend Agile ceremonies · Assist in debugging technical issues with guidance from mentors · Research emerging technologies and present findings to the team · Document learning progress and contribute to knowledge sharing sessions Required Qualifications Educational Background: · Currently pursuing or recently completed Bachelor's degree in Computer Science, Software Engineering, or related field · Strong academic foundation in programming concepts and data structures Technical Skills: · Basic proficiency in Python programming language · Understanding of object-oriented programming concepts · Familiarity with at least one Python web framework (Django, Flask, or FastAPI) through coursework or personal projects · Basic knowledge of databases and SQL · Experience with version control systems (Git) · Understanding of web development fundamentals (HTTP, REST principles) Preferred Skills: · Exposure to cloud platforms through academic projects or personal learning · Basic understanding of Linux command line · Familiarity with containerization concepts (Docker) · Experience with any testing frameworks · Previous internship or project experience in software development · Understanding of Agile development methodologies Soft Skills: · Strong curiosity and eagerness to learn new technologies · Excellent communication skills and ability to ask thoughtful questions · Good problem-solving approach and analytical thinking · Collaborative mindset and ability to work well in team settings · Attention to detail and commitment to learning best practices · Self-motivated with ability to take initiative on assigned tasks · Adaptability to changing requirements and feedback What We Offer:  · Mentorship from experienced full-stack developers · Hands-on experience with cutting-edge healthcare technology · Exposure to AI and machine learning applications in medical diagnostics · Opportunity to contribute to meaningful projects that impact patient care · Flexible work arrangements and learning-focused environment · Potential for full-time employment based on performance and business needs

Summary Position Summary DTTL People & Operations | DTTL People Insights Type: Full Time Level: Senior Analyst – CL3 Job Title: Senior Analyst – Analytics & Reporting Experience: 4-6 years Location: USI – Hyderabad Shift Timings: 2:00 PM – 11:00 PM Summary: DTTL People Insights team supporting Deloitte Global is looking for a technical, curious, ambitious and innovative individual to join its growing team. This team’s mission is centered around providing actionable insights to its clients so that they can make informed decisions regarding its people. And we do that by transforming data to “tell the story” – both visually and verbally. This individual will work closely with other team members across reporting, analytics, technology and HR on a regular basis.Having full knowledge and expertise about the full life-cycle of HR is critical in this role as we support all areas within HR, including HR Business Advisors, Talent Acquisition, Mobility, Engagement, Learning & Development and our Leadership team. The team provides a full suite of services to its clients: from providing technical expertise, to publishing and visualizing an analysis, to accurately communicating insights and delivering content in a meaningful way. Duties will include (but are not limited to): Report Delivery: Oversee and deliver both regular and ad hoc reports to business leaders, alongside standard BAU reports. HR Trend Analysis: Analyze HR trends such as turnover, hiring, demographics, performance, requisition, and engagement scores to support organizational goals and strategies. Talent Metrics Development: Write and optimize queries to extract and present data from various SuccessFactors modules, such as Employee Central, Recruiting, and Performance & Goals. Workforce Planning & Strategy: Consult with Workforce Planning advisors to assess needs and provide data-driven business recommendations. Tool Development & Maintenance: Design, build, and automate talent metrics packages for workforce planning. Data Analysis and Interpretation: Apply critical thinking to data mining and reporting requests, interpreting results using various techniques from simple aggregation to complex analysis. Talent Insights Reporting: Provide a suite of reports to business leaders and identify innovative ways to enhance talent insights through dashboards. Global Analytics Role: Gather and analyze data, prepare insightful reports and presentations, identify trends, and offer recommendations to leadership. Stay current with new SuccessFactors reporting features and best practices, and recommend enhancements as needed. HR Systems Education: Educate users on HR systems, tools, and reports, while proactively identifying trends to address business problems, mitigate risks, and uncover opportunities. Strategic HR Consulting : Assess HR needs with advisors and translate them into strategic recommendations using trend and data analysis. Collaborative Reporting Development: Work with system and functional experts to develop or interpret additional reports. Stakeholder Collaboration: Act as a liaison to COEs, HRBPs, and leadership for reporting, forecasting, analytics, and data-driven decision-making support. Required for this position : Bachelor’s degree or master’s degree or equivalent combination of education & experience Deep understanding of HR technology, systems, HR data and reporting, SuccessFactor Reporting 4 - 6 years of operational experience in Reporting & Analytics (Preferably HR) Proficient in MS Office Suite, advanced excel, Tableau/PowerBI, Expert skills in advanced Excel (macros, Power Query, dashboard building, visualization) Skilled in developing custom reports from scratch by writing queries in tools such as SuccessFactors and Power Query. Ability to answer inquiries on own initiative by effective use of relevant data/available information and interpretation Strong attention to detail and analytical capabilities Superior language proficiency in English Strong knowledge of HR processes and leadership insights Strong written and verbal communication skills Additional Desirable Skills: Ability to work cross-functionally to solve problems and manage issues A dedicated customer service mentality, a knack for analytical problem solving, and an ability to see how small details impact the big picture (i.e., systems thinking) Understanding data flow and interfacing systems to build automated solutions for reporting and analytics needs. Ability to independently interact with internal stakeholders to understand requirements, assess complexity and define timelines. Ability to work on multiple projects at the same time. Strong Data Mining skills Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 308152

Machine Learning Engineer: Experience-5+ Yrs. Location-Pune/Bangalore/Hyderabad/Chennai JD- Expert-level proficiency in Google Cloud Platform (GCP) , demonstrating deep practical experience with Vertex AI , Big Query, Apache Beam, Cloud Storage, Pub/Sub, Cloud Composer (Apache Airflow), Cloud Run, Kubernetes Engine (GKE) concepts (for custom model serving), Docker. Strong experience leveraging GPUs/TPUs for accelerated ML training. Mastery of Python, TensorFlow and/or PyTorch, NLP libraries (e.g. spaCy, NLTK). Large-scale model training techniques, including distributed training, transfer learning, fine-tuning pre-trained models, and efficient data loading strategies Develop, fine-tune, and deploy LLMs using Vertex AI and GCP-native tools . Build and maintain NLP pipelines for tasks such as text classification, NER, question answering, summarization, and translation. Implement prompt engineering and retrieval-augmented generation (RAG) for enterprise applications.

Manage and coordinate service department Manage Client service and query management Coordinate the work of service technicians for maintanenance work orders. Prepare job estimates for customer maintanence including time and cost Allocation of work to the technicians Monitor quality control standards. Perform quality inspections on work done by technicians Manage service records. Proper allocation of work on time Oversees the work of employees in supporting roles, including assigning workload and monitoring employee performance. Ensures proper care in the use and maintenance of equipment and supplies; promotes continuous improvement of workplace safety and environmental practices Performs miscellaneous job-related duties as assigned. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Muvattupuzha, Kerala: Reliably commute or planning to relocate before starting work (Required) Experience: total work: 5 years (Preferred) Work Location: In person

About the Role: OSTTRA India The Role: Senior Software Engineer The Team: The OSTTRA Technology team is composed of Capital Markets Technology professionals, who build, support and protect the applications that operate our network. The technology landscape includes high-performance, high-volume applications as well as compute intensive applications, leveraging contemporary microservices, cloud-based architectures. The Impact: Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets. What’s in it for you: We are seeking a Java Developer having 7 to 12 years of experience with deep expertise in Core Java, strong system design and development skills, solid hands-on experience with databases, and a proactive mindset toward code quality and mentoring. This role demands a self-motivated individual who can not only write efficient and scalable code but also guide junior developers through peer reviews, architecture discussions, and best practices. Responsibilities: Design, develop, and enhance complex Java applications and services, , requiring high throughput. Lead technical solutions end-to-end from design through implementation and deployment. Perform detailed code reviews, ensure code quality and adherence to best practices. Collaborate with architects and senior stakeholders to shape system design and architecture. Analyze and troubleshoot performance bottlenecks across code and database. Mentor and support junior team members in coding, debugging, and technical issues. Work closely with QA, DevOps, and product teams to deliver high-quality software. What We’re Looking For: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Core Technical Skills: Expert-level Core Java (OOP, Collections, Concurrency, Java 8+ features). Strong experience with Spring Boot, Spring MVC, and RESTful APIs. In-depth knowledge of SQL and RDBMS (PostgreSQL, MySQL, Oracle) with strong database design and query tuning skills. Good knowledge of database design, query optimization, indexing, and stored procedures. Experience with ORM frameworks like Hibernate or JPA. Solid experience with Git, build tools (Maven/Gradle), and logging frameworks (Log4j/SLF4J). Familiar with unit testing frameworks (JUnit/TestNG) and mocking tools (Mockito). Nice-to-Have: Exposure to microservices architecture and distributed systems. Familiarity with NoSQL databases (e.g., MongoDB, Redis) is a plus. Experience with cloud platforms like AWS, Azure, or GCP. Understanding of CI/CD pipelines, Docker, and Kubernetes. Exposure to UI Development React / Angular Exposure to React / Angular UI Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and leadership qualities. Ability to handle peer collaboration, feedback, and conflict resolution constructively. Attention to detail and a commitment to software craftsmanship. The Location: Gurgaon, India About Company Statement: OSTTRA is a market leader in derivatives post-trade processing, bringing innovation, expertise, processes and networks together to solve the post-trade challenges of global financial markets. OSTTRA operates cross-asset post-trade processing networks, providing a proven suite of Credit Risk, Trade Workflow and Optimisation services. Together these solutions streamline post-trade workflows, enabling firms to connect to counterparties and utilities, manage credit risk, reduce operational risk and optimise processing to drive post-trade efficiencies. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years: MarkitServ, Traiana, TriOptima and Reset. These businesses have an exemplary track record of developing and supporting critical market infrastructure and bring together an established community of market participants comprising all trading relationships and paradigms, connected using powerful integration and transformation capabilities. About OSTTRA Candidates should note that OSTTRA is an independent firm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global provides recruitment services to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joining our global team of more than 1,200 post trade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years: MarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. With an outstanding track record of developing and supporting critical market infrastructure, our combined network connects thousands of market participants to streamline end to end workflows - from trade capture at the point of execution, through portfolio optimization, to clearing and settlement. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets. Learn more at www.osttra.com . What’s In It For You? Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group) Job ID: 306844 Posted On: 2025-08-02 Location: Gurgaon, Haryana, India

Field Sales Executive Hybrid Only Mumbai candidate or open to relocate to Mumbai. College students and part-timers can also apply .Spoken English must Calling Leads and qualifying the lead for site visit (Handling Customer Inquiry) Attending Inbound and outbound marketing calls to leads generated through various marketing activities. Providing information to clients with real estate requirements over calls, email, WhatsApp Regular follow-ups, and ensuring customer site visits. Referral Lead Generation and Conduct Site Visits (Virtual and Physical) Building the Team and grooming a team leader Tele pitching prospective leads about the projects and providing all information and query resolution to drive those leads to scheduled site visits. Help Clients make the right decisions with their requirements and explain the various projects based on their requirement Achieve the company sales target. Create, and survey campaigns and assist the Sales and Marketing Build relationships with existing customers to generate reference sales. Job Types: Full-time, Part-time, Permanent, Fresher, Internship, Freelance Contract length: 12 months Pay: ₹5,000.00 - ₹20,000.00 per month Expected hours: 24 per week Benefits: Cell phone reimbursement Flexible schedule Paid sick time Work Location: In person Application Deadline: 15/08/2025 Expected Start Date: 16/08/2025

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *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: Proven experience as a Data Scientist or similar role in a consulting or corporate environment. Proficient in programming languages such as Python or R. Experience with data manipulation and analysis using SQL and big data technologies. Strong knowledge of machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Research and develop cutting-edge AI models and components to solve client-specific challenges. Collaborate with clients and cross-functional teams to define project scopes and deliver innovative AI solutions. Optimize AI algorithms for performance and scalability. Mandatory skill sets: TensorFlow, PyTorch, Scikit-learn, SQL Preferred skill sets: TensorFlow, PyTorch, Scikit-learn, SQL Years of experience required: 4 – 7 yrs Education qualification: B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills PyTorch, Structured Query Language (SQL), Tensorflow Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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 Sr. Business Analsyt Skills Required Client Reference Data, Entity Resolution, KYC, Regulatory Compliance, Master Data Management (MDM), Stakeholder Management, SQL, Power Query, Excel, Legal Entity Hierarchy Modeling, Client Onboarding, Agile Methodology Experience Level 8-12 years 8 years is must Work Location Mumbai, Pune Job Type: Full-time Pay: ₹2,700,000.00 - ₹2,900,000.00 per year Work Location: In person

Job description We are looking for skilled Data Engineering Trainees to work on some complex big data projects. This is an internship program which will eventually convert into an employment if the performance of the candidate is found excellent. Job Terms This is work from office internship. Job location is Pune, Maharashtra Internship duration will be 6 months A bond of 30 months including internship if the internship is converted to job Must have taken a formal training on Python & Spark Work Experience No experience is expected Candidates who graduated in 2023 or earlier will be preferred. Job Responsibilities Build scalable streaming data pipelines Write complex SQL queries to transform the source data Write an enterprise grade code which is stable and does not break Data pipeline deployment by working closely with the DevOps team Build automated job scheduling and monitoring scripts Skills Exceptional Programming skills in Python, Spark, Kafka, Pyspark and C++ Very good knowledge of SQL and complex query writing Very good knowledge of Pandas and Numpy Must be familiar with Exploratory Data analysis and data pre-processing Knowledge of Databricks will be an advantage Education B.Tech BE Who are pass out in 2023 and before 2023 Job Types: Full-time, Permanent Pay: ₹5,000.00 per month Schedule: Day shif Job Types: Full-time, Fresher, Internship Contract length: 4 months Pay: ₹5,000.00 per month Work Location: In person

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. We are looking for a Database Specialist with strong focus on databases and data management topics, experienced SAP deployments on IBM DB2/DB6 and SAP HANA best practices, cloud service engineering processes, transformation, and innovation services, with a strong background in technical/functional end-to-end data environment management. This role involves working closely with cross-functional teams to ensure high availability, performance, and security of the DB2 and SAP HANA landscapes within RISE. Key activities will include providing IBM DB2/DB6 and SAP HANA expertise and supporting POCs, architectures, migrations/upgrades (wherever applicable), automation, performance & tuning, on-demand expertise, and optimizing existing processes through automation. What you'll do: Design and architect IBM DB2/DB6 and SAP HANA solutions with a focus on scalability, performance, and security Lead the installation, configuration, and management of DB2/DB6 and HANA environments and define standard storage templates for various machine types Collaborate with infrastructure, network, and security teams to ensure seamless integration of IBM DB2/DB6 and SAP HANA with existing systems and networks Develop and implement best practices for IBM DB2/DB6 & SAP HANA administration, including backup and recovery, system refreshes, patching, and performance tuning Provide technical guidance and expertise in RISE migration projects, including on-premises to cloud transitions and upgrades Monitor and optimize DB2/DB6 & HANA system performance, including database tuning, query optimization, and resource management Conduct capacity planning and sizing for DB2/DB6 & SAP HANA deployments to meet business requirements Implement high availability and disaster recovery strategies for SAP HANA systems Troubleshoot and resolve complex issues related to DB2/DB6/ HANA What you'll bring: Bachelor’s degree in Computer Science, Information Technology, or similar with 10+ years of relevant experience Proven experience as a IBM DB2/DB6 specialist and preferably having strong SAP HANA expertise, preferably in the capacity of an architect Strong expertise in IBM DB2 & SAP HANA installation, configuration, administration, and performance tuning Hands-on experience with IBM DB2/DB6 and SAP HANA database design, development, and optimization especially in the context of SAP applications Solid understanding of cloud architecture, including networking, security, and infrastructure services Experience with high availability, disaster recovery, and backup strategies for DB2/DB6 & HANA and Pacemaker experience Strong Experience in designing, implementing, and onboarding Cloud Services and solutions to the solutions Portfolio Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues Excellent communication and collaboration skills to work effectively with cross-functional teams. SAP HANA and DB2 certifications are a plus Good to Have: Architect level certification with one or more hyperscalers (AWS, Azure, or GCP). Exposure to operating HANA/DB2 on IBM cloud Power VS & VPC environment and RHEL OS Familiarity with automation tools and scripting languages such as Ansible, Python, or Shell scripting for DB2 and HANA adminsitration Experience with SAP BW, SAP S/4HANA, or other SAP applications on HANA. Knowledge of containerization & orchestration technologies like Kubernetes & Docker in SAP environments. Strong scripting / programming skills will be preferred Familiarity with SAP Analytics Cloud (SAC) and/or SAP Business Technology Platform (BTP) and other SAP SaaS solutions Familiarity with other SAP Database products – SAP ASE, SAP IQ, SAP Replication Server & MS-SQL etc. Familiarity with RISE with SAP offerings Meet the Team: The ECS CAE Data Management team is a key pillar within the Enterprise Cloud Services (ECS) CAE organization is the common theme across all CAE areas for database and data management technologies. Our mission is to establish reliable and efficient data foundations with best-in-class database and data management capabilities for ECS. This team works across all ECS CAE areas for database and data management technologies, providing expertise for operational excellence, analytics and insights, and automation driven intelligent data operations. #SAPECSCareers Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 429837 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

DESCRIPTION The role is based in Munich, Germany (this is not a remote opportunity). We offer immigration and relocation support. The vision of the Ontology Product Knowledge Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers. As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation. Tasks and Responsibilities: Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference Create new schema using Generative Artificial Intelligence (generative AI) models Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph Contribute to team goal setting and future state vision Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions Develop team operational excellence programs, data quality initiatives and process simplifications Evangelize ontology and semantic technologies within and across teams at Amazon Develop and refine data governance and processes used by global Ontologists Mentor and influence peers Inclusive Team Culture: Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs. Work/Life Harmony: Our team believes that striking the right balance between work and your outside life is key. Our work is not removed from everyday life, but instead is influenced by it. We offer flexibility in working hours and will work with you to facilitate your own balance between your work and personal life. Career Growth: Our team cares about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing. Perks: You will have the opportunity to support CX used by millions of customers daily and to work with data at a scale very few companies can offer. We have offices around the globe, and have the opportunity to be considered for global placement. You’ll receive on the job training and group development opportunities. BASIC QUALIFICATIONS Degree in Library Science, Information Systems, Linguistics or equivalent professional experience 5+ years of relevant work experience working in ontology and/or taxonomy roles Proven skills in data retrieval and data research techniques Ability to quickly understand complex processes and communicate them in simple language Experience creating and communicating technical requirements to engineering teams Ability to communicate to senior leadership (Director and VP levels) Experience with generative AI (e.g. creating prompts) Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN) Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty) Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity Proven track record of strong communication and interpersonal skills Proficient English language skills PREFERRED QUALIFICATIONS Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields Experience building ontologies in the e-commerce and semantic search spaces Experience working with schema-level constructs (e.g. higher-level classes, punning, property inheritance) Proficiency in SQL, SPARQL Familiarity with software engineering life cycle Familiarity with ontology manipulation programming libraries Exposure to data science and/or machine learning, including graph embedding 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 Are you passionate about transforming complex data into actionable business insights at a global scale? RBS Brand Experience (formerly APIE) is seeking an experienced Business Intelligence Engineer who thrives on ambiguity and can decipher evolving business needs to shape data-driven solutions. As a Business Intelligence Engineer, you'll be at the intersection of data and business strategy, translating complex requirements into actionable analytics solutions. You'll partner with stakeholders to unlock insights that elevate our global work authorization experiences and drive program scalability. Key job responsibilities A successful candidate will demonstrate: Advanced SQL skills for writing complex queries and stored procedures to extract, transform, and analyze large datasets Proficiency in Python, particularly with libraries like pandas and PySpark, for data manipulation and ETL processes Strong analytical and problem-solving capabilities, with the ability to translate business requirements into efficient data solutions Experience in designing and implementing scalable ETL pipelines that can handle large volumes of data Expertise in data modeling and database optimization techniques to improve query performance Ability to work with various data sources and formats, integrating them into cohesive data structures Skill in developing and maintaining data warehouses and data lakes Proficiency in using BI tools to create insightful visualizations and dashboards Ability to thrive in ambiguous situations, identifying data needs and proactively proposing solutions Excellence in communicating technical concepts and data insights to both technical and non-technical audiences Customer-centric mindset with a focus on delivering data solutions that drive business value" A day in the life You'll work closely with Product Managers, Software Developers, and business stakeholders to: Build and maintain dashboards that drive business decisions Perform deep-dive analyses to uncover actionable insights Develop and automate data processes to improve efficiency Present findings and recommendations to leadership Partner with global teams to implement data-driven solutions BASIC QUALIFICATIONS 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with scripting language (e.g., Python, Java, or R) Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Experience applying basic statistical methods (e.g. regression) to difficult business problems Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports PREFERRED QUALIFICATIONS Bachelor's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Experience in designing and implementing custom reporting systems using automation tools 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 is a place where data drives most of our decision-making. Analytics, Operations & Programs (AOP) team is looking for a dynamic data engineer who can be innovative, strong problem solver and can lead the implementation of the analytical data infrastructure that will guide the decision making. As a Data Engineer, you think like an entrepreneur, constantly innovating and driving positive change, but more importantly, you consistently deliver mind-boggling results. You're a leader, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution. This position offers exceptional opportunities to grow their technical and non-technical skills. You have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects. As a Data Engineer, you are responsible for analyzing large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. This is done by leveraging data from various platforms such as Jira, Portal, Salesforce. You will work with a team of Product Managers, Software Engineers and Business Intelligence Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, implement new data pipelines that feed into or from critical data systems at Amazon. You must be able to prioritize and work well in an environment with competing demands. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external. This role requires a high degree of ownership and a drive to solve some of the most challenging data and analytic problems in retail. Candidates must have demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, build data warehousing solutions that are explainable and scalable. In addition to the technical skills, a successful candidate will possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise. Key job responsibilities Design, implement and support an analytical data infrastructure Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications. Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms. Contribute to the development of the BI tools, skills, culture and impact. Write advanced SQL queries and Python code to develop solutions A day in the life This role requires you to live at the intersection of data, software, and analytics. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue. You will drive the development process from design to release. Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for self serve analytics and science use cases. Using industry best practices in building CI/CD pipelines 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 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. 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 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.

DESCRIPTION At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) Operations Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. 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 Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel PREFERRED QUALIFICATIONS Experience using very large 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.

DESCRIPTION At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) Operations Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. BASIC QUALIFICATIONS 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field PREFERRED QUALIFICATIONS Experience using very large datasets Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages 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.

Role: Accounts Receivable Assistant Contract Type: Full-time, Permanent Hours: 37.5 hours per week: (Monday – Friday 9am – 5.30pm) Location: Bangalore, India (hybrid allowing for 3 days in the office and 2 days working from home) Salary: Competitive and negotiable dependent on experience, plus company benefits Interview Process: 2 stage (Virtual and Face-to-face) Kinly is a leading integrator of audio-visual and unified communications solutions, and the largest in Europe, serving as a globally trusted technology advisor to leading organisations. For more than 25 years, we have been designing, developing, integrating and supporting complex audiovisual solutions and businesses rely on us to deliver consistently secure and flexible meeting experiences. We now have an opportunity for a proven finance professional, to work in a highly collaborative global team to have an ongoing impact on financial transactions, ensuring good working relationships with our valued customers. A successful Accounts Receivable Assistant will possess strong administration skills with previous experience working within an AR team an advantage. Key responsibilities: Producing customer invoices and credit notes Uploading sales documents on to appropriate client portals Liaising with customers to assist with query resolution Coordinating with other departments to problem solve Maintaining client records on internal database Nurturing stronger relationships with existing clients Assisting with the credit control element of the AR function Processing online credit card payments from clients on our platform Developing ideas to improve overall efficiency Skills and experience: Previous experience working within a busy environment in a similar accounts receivable position Competent with Microsoft Office and Microsoft Excel Excellent verbal and written communication skills Exceptional organisational and time-management skills Ability to be proactive and make decisions A self-starter who can take initiative Demonstrates strong attention to detail If you are selected for interview, and need any reasonable adjustments made for your interview, please let the Talent Acquisition team know, at the point of scheduling. If you do require details of the vacancy or the application process in an alternative format, please either email jobs@kinly.com outlining your requirements; or you can view the vacancy via the Kinly page on Vercida which allows you to customise the content so that you can review in a way that works best for you. About Kinly Kinly is the globally trusted AV and UCC technology advisor to world-class organisations. Our solutions drive maximum collaboration, engagement and productivity to enable a world where people can work together, from everywhere. Our people are unified by a passion for helping teams achieve their workplace communication and collaboration goals, irrespective of complexity, location or project size. We design, engineer and support audio visual and collaboration technology solutions that add real business value and deliver exceptional user experiences, every time. Why Kinly? We are experienced: When you join our family you’ll be part of a multi-award-winning team made up of the industry’s most innovative professionals. We are proven: The world’s leading global businesses rely on us to deliver secure and reliable meeting experiences. Come with us on our journey. We are independent: We partner with the world’s best AV vendors to deliver our customers unrivalled access to cutting edge technology tailored to their exact needs. We are global: You’ll be working with alongside the world’s leading brands and supporting them on high-profile, international projects. Equal Opportunities: Kinly is committed to providing equal opportunities in employment, all qualified applicants will receive consideration for employment without regard to sex, age, gender identity, pregnancy, colour, race, national origin, sexual orientation, disability, religion or any other ‘protected characteristics. We welcome your application.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field PREFERRED QUALIFICATIONS Bachelor's degree or equivalent 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.

Roles & Responsibilities of Associate Service on seat, suggestive & Up selling, Efficient Cash handling at POS, and no variance in sales Customer query handling and delight each and every customer by giving best service. Well versed with Movie synopsis and genre. Taking effective orders and satisfying the customers. Box office handling, Concessions handling independently. Cash Management from Box and Candy Area. To effectively operate the software system VISTA generating revenue. Ensure highest level of integrity towards organization & patron. Handling queries regarding film content, show times. Responsible for maintenance of machines at Box Office and concessions Follow correct cash handling procedures and revenue collection as per the policies and procedures. Job Types: Full-time, Permanent Pay: ₹13,000.00 - ₹15,000.00 per month Benefits: Food provided Work Location: In person

ABC Digital Ltd. Regional Customer Success Manager - Kolkata Location: Chennai - Ambattur, Tamil Nadu Job Purpose The Regional Customer Sucess Manager is responsible for the growth and expansion of the business as well as creating customer value during the lifetime of the existing customers by understanding the customer’s overall needs and matching those to the products/services that are offered. Job Context & Major Challenges Job Context/ Job Challenges: The Aditya Birla Capital (ABCL) has diverse, industry-leading businesses across multiple verticals, including lending, life insurance, health insurance, insurance booking, mutual funds, housing finance, wealth management, insurance advisory services, retail broking, distribution of third-party products, etc. The rationale for the role lies in the advantage of leveraging internal & external insights to identify opportunities to develop & deliver new initiatives, which will introduce new products & services that will drive growth and improve the customer experience. Challenges: Speedy delivery of communication, instant assistance, or access to online resources for customer queries Adding value to any conversation at a rapid pace is one of the main challenges Getting support from the stakeholders across the business Drive the ways of working in the development processes, improving the quality of solutions, and ensuring we can deliver value as early as possible using a range of methodologies. Key Result Areas KRA (Accountabilities) (Max 1325 Characters) Supporting Actions (Max 1325 Characters) KRA1 Opportunity identification Mine cross sell opportunities from centrally shared customer data Understanding relevant user insights and pitch cross-sell opportunities through the assigned team members Awareness of available products bouquet and their fit with various customer personas Identifying opportunities to offer combination solutions based on customer needs Identifying areas of improvement for each product with respect to cross-sell opportunities Working with the product managers to build product-wise cross-sell propositions KRA2 Cross LOB communication Nurturing relationships with units to enable meaningful scale for cross-sell opportunities and improve customer lifecycle value Work with cross-unit teams to set and achieve targets for cross-selling, new client acquisition & higher products per customer Drawing up the cross-sell blueprint for the zone with cross-unit alignment KRA3 Team training Training and upskilling the team on all relevant products and their features KRA4 Managing lead generation and closure Ensure robust lead generation by networking across various units to drive cross-sell opportunities Follow up for the closure of leads generated KRA5 Query redressal De-bottlenecking any issues, wherever needed Working with technology and other teams to drive implementation KRA6 Achieving new client acquisition & cross sell targets Ensuring the new client acquisition targets for the zone are achieved Owning and delivering the cross-sell strategy and plan for the zone Ensuring consistent delivery of cross-selling product/service offerings, driving innovation basis contextual needs of the customer Tracking scale and quality on a day-to-day basis and identifying opportunities for improvement Minimum Experience Level 5 - 10 years Job Qualifications Under Graduate

Full job description Job Summary: We are looking for a skilled and motivated Mid-Level / Senior Laravel Developer to join our development team. The ideal candidate should have strong experience in building robust web applications using Laravel and PHP, along with good understanding of front-end technologies and RESTful APIs. You will be responsible for implementing backend logic, maintaining APIs, optimizing performance, and collaborating with cross-functional teams. Key Responsibilities: Develop, test, and maintain scalable web applications using Laravel (8/9/10) and PHP. Design and implement RESTful APIs and ensure smooth data exchange with frontend and third-party services. Collaborate with front-end developers, UI/UX designers, and other back-end developers to build efficient solutions. Optimize application performance, scalability, and security. Maintain and improve existing codebase and write clean, reusable, and documented code. Participate in code reviews and ensure adherence to coding standards. Debug and troubleshoot issues across multiple environments (local/staging/production). Assist in database design and query optimization (MySQL/PostgreSQL). Work with version control systems like Git (GitHub/GitLab/Bitbucket). Participate in daily stand-ups, sprint planning, and other Agile/Scrum processes. Required Skills and Qualifications: 2–4 years of hands-on experience in Laravel framework. Must know mysql, and MongoDB Proficient in PHP 7/8 , OOP (Object-Oriented Programming) principles. Solid experience with MySQL or other relational databases. Good understanding of MVC architecture , RESTful APIs , and Laravel Ecosystem (Eloquent ORM, Queues, Jobs, Middleware, etc.) Experience with authentication & authorization mechanisms (JWT, OAuth, Laravel Passport/Sanctum). Working knowledge of HTML, CSS, JavaScript, and front-end libraries like Vue.js or React (preferred). Experience integrating third-party APIs and services (e.g., Stripe, Twilio, Mailgun). Familiarity with Linux server environments and basic DevOps tasks (SSH, deployment scripts, cron jobs). Strong debugging, problem-solving, and analytical skills. Please email your resume:- Dipankar@mobotics.in Job Type: Full-time Work Location: Remote Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Location Type: In-person Schedule: Day shift Work Location: In person Application Deadline: 06/08/2025

At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you? Teamcenter PLM- Data Migration Specialist -Mumbai or Pune , Siemens Energy, Full Time Looking for challenging role? If you really want to make a difference - make it with us We make real what matters. About the role- A TEAMCENTER PLM Data Migration Specialist is a professional who specializes in the movement of data from one system or platform to another. They understand TEAMCENTER PLM data structures and related PLM processes. They play a crucial role in ensuring the successful transfer and integration of data. TEAMCENTER PLM Data Migration Specialists are responsible for analyzing data structures, mapping data fields, validating data integrity, and implementing efficient migration strategies. Main data formats are meta-data, documents and Creo CAD data. Source data systems shall be SAP, PTC Windchill PDMLink, Oracle Agile CADIM, Sharepoint and file storage systems. The role includes to ensure that the target system meets requirements of the to be migrated data. Gaps will be identified and worked out to a solution with respective system teams. o Specializes in the movement of data from one system or platform to another o Developing and adapting the migration tools o Migration dry runs o Assessment of the migration result (with the help of the respective roll-out project) o Data Cleansing (with the help of the respective roll-out project) o Goal: identify and rectify inconsistencies, gaps and errors within the data to meet the Teamcenter data model In source systems During the Migration (as part of the transformation in the ETL process) In the target system Main responsibilities of a data migration specialist are: o Analyze data structures and target system data model o Analyze, prepare and execute data cleansing services. o Analyze, specify and document data migration requirements with clients and internal teams o Collaborate with cross-functional teams o Collaborate with data architects to design data migration solutions o Conduct post-migration data validation o Conduct testing on migrated data to ensure client requirements are fulfilled. o Coordinate with stakeholders to gather requirements o Create spreadsheets or use other data analysis tools with large numbers of figures without mistakes. o Develop and execute test plans on migrated data o Develop templates for Data Migration objects that can be leveraged for multiple rollouts. o Document data migration processes and procedures o Extract, transform, and load are terms often used by the team o Handle escalated client complaints and concerns as needed – Bug/Issue tracking for data subjects. o Identify and mitigate data risks o Identify data migration requirements o Maintain appropriate levels of data security and privacy relating to customer data. o Maintain data migration documentation o Map data fields between source and target systems o Optimize data migration processes for efficiency within the data and migration team o Profile data results from legacy data sources. o Troubleshoot and resolve data migration issue We don’t need superheroes, just super minds. BE or BTech Degree in Information Technology, Computer Science Minimum 8+ years of support experience in Teamcenter Application 11.5 or higher, Administration of Teamcenter Application / 4T architecture, Teamcenter deployments, code quality reviews Ability to create deployment scripts in a Windows based Client/Server Platforms. Knowledge of windows Batch scripting, PowerShell and Python scripting languages is essential Good Understanding of Active Workspace, T4X, SWIM in addition to Teamcenter Server and client administration Good understanding of Teamcenter Data model which includes BMIDE code full and codeless customization Well versed with Teamcenter modules (Query builder, structure manager, Multi BOM manager, TEAMCENTER PLMXML, Workflow designer, Product Configurator) Installation, configuration, administration, maintenance, including integrations deployments with Teamcenter Ability to document architecture / technical specifications Exposure of migration projects / rollouts High proficient in Server-side customization (ITK) High proficient in Client-side customization (RAC) High proficient in AWC customization including style sheets Web Services High proficient in SOA development High proficient in Workflow handlers' development We’ve got quite a lot to offer. How about you? This role is based in Mumbai or Pune , where you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at: www.siemens.com/careers

VAM Systems is a Business Consulting, IT Solutions and Services company. VAM Systems is currently looking for Data Engineering Analyst for our Bahrain operations with the following skillsets & terms and conditions: Qualifications : · Bachelor’s Degree · Engineer (B.E.)/ MCA · Certification in SQL/SAS Experience : 5-8 years Key Objectives · Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering. Analytical/Technical Skills: · Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable. · Hands-on experience on MS Excel · Prior project management/stakeholder management is desired Responsibilities · Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues. · Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss). · Mastering the Intersection of Finance, Data Analysis and Data Engineering. · Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs. · Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT. · Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions. · Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls. · Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning. · SAS skillset, with Strong Experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library Terms and conditions Joining time frame: (15 - 30 days) The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading bank in Bahrain. Should you be interested in this opportunity, please send your latest resume at the earliest at ashiq.salahudeen@vamsystems.com