Financial Analyst

For the American Express Recruitment 2026 drive, the company is seeking an Analyst to join the Data Science product team. This role is a unique blend of Technical Data Science and AI Product Management. You will not only build ML models but also contribute to the long-term AI product strategy and roadmap.
You will work with Google Cloud Platform (GCP) and Big Data tools to translate business requirements into technical solutions. The role involves driving end-to-end ML/AI product developments, transforming MVPs into production-grade capabilities, and collaborating with engineering and UX teams.

Analyst – Data Science

Apprentice Analyst

Engineering Analyst

Graduate Trainee (Programmer/Analyst I)

As a key member of the Oracle IT organization, you will work with Oracle’s cutting-edge technology to develop, implement, and rigorously support our global infrastructure. Your primary role as a Programmer Analyst will involve extensive testing and fundamental data analysis to ensure the reliability and stability of Oracle’s standard infrastructure systems.
You will leverage your expertise in automation frameworks to streamline testing processes, utilizing tools like the Selenium Automation Test Framework and scripting languages such as Bash and VBA. This role requires a strong analytical mindset and the ability to troubleshoot complex scenarios within high-availability cloud environments like Oracle RightNow Cloud Service.

Programmer Analyst 1-IT

For the S & P Global Recruitment 2026 drive, the team is looking for a Data Analyst to work within the Sustainability and Environmental, Social, and Governance (ESG) domain. You will be responsible for collecting, processing, and validating financial and sustainability data.
The role requires interpreting complex company documents like Annual Reports and Sustainability Reports. Candidates with knowledge of SQL and Power BI will have an added advantage. You must be willing to work in rotational shifts to meet global business requirements.

Data Analyst

For the GlobalLogic Recruitment 2026 drive, the team is looking for candidates to work on the vital process of labeling and annotating data. This data forms the foundational training set for advanced AI and machine learning models. No prior knowledge of data annotation is required, as thorough training will be provided.
You will manually label diverse data points, including text, audio, video, and images, strictly adhering to established guidelines. Your work ensures that AI models receive consistent, high-quality, and correctly categorized data to learn from.

Financial Analyst

Key Responsibilities

Skills & Eligibility

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