3,783 data analyst trainee jobs in India.

Credit Analyst – Corporate Banking Location: Nariman Point, Mumbai Experience: 2-4 Years Department: Corporate Banking Key criteria Credit Analyst should have been handling Indian Corporates with turnover over 1500 crs plus , corporates with min credit rating of A and above, analysed financials for working capital and term ...

Client Implementation Analyst, AYST Job Title- Client Implementation Analyst, AYST The Client Implementation Analyst (Documentation) supports the efficient delivery of implementation & documentation tasks and will act as a support resource throughout the project, working under the direct supervision of the Client Implementation ...

... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...

... working with imperfect data and ambiguity - Strong attention to detail and collaborative mindset Experience & Education - 2–4 years of relevant experience for Analyst; 4–6 years for Senior Analyst - Experience in investment banking, transaction advisory, or financial due diligence - Prior exposure to M&A processes preferred ...

... feel valued, you’re empowered to do your best work. Job Description About the Role We're looking for a Business System Analyst - Staff/Senior Staff to join our Data & Analytics team and own the product strategy for data platforms, analytics tooling, and AI-driven capabilities. This role sits at the intersection of data engineering, ...

... in pricing strategy, stakeholder management, people management, Strong MS Office Skills (Excel with VBA, PowerPoint), etc Expert in working with large complex data sets and data visualization tools; strong ability to draw simplicity from complexity and bring structure to ambiguity when working with data Strong initiative, ...

... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...

... leadership and expertise in designing and building high-volume, production-grade data platforms. The ideal candidate will have extensive experience with modern cloud data technologies, data lakes, data warehouses, ETL/ELT pipelines, real-time data processing, and data architecture. The role requires someone who can combine strong ...

The Product Success Analyst (PSA) is responsible for ensuring that customers/internal teams realise ongoing value from the company's products and in-house-developed tools. This role owns the relationship post-onboarding - driving adoption, coordinating rollouts of new internal automation tools, resolving issues, and identifying ...

... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...

... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...

... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...

... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...

... experience in data engineering principles, data integration, transformation, and cloud-based data platforms, with the ability to build reliable and high-performing data solutions. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to develop data pipelines, optimize data workflows, ...

... Jabra OTC Portal Administration Manage and maintain the online portal for Jabra OTC products. Ensure accurate order processing and data entry within the portal. Data Management & Reporting Utilize Microsoft Excel to manage order files, track purchase orders, and maintain operational records. Perform data validation and reconciliation ...

... learning and statistical modeling to improve decision-making and automate business processes. Data, Tools & Technical Leadership - Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - ...

... team in evaluating the creditworthiness of portfolio companies and assisting in the monitoring of client’s credit portfolios. You will work closely with senior analysts and other internal teams to gather and analyze financial data, contribute to credit assessments, and help maintain the integrity of our credit analysis services. ...

... showcase efficient corporate communication skills and consistently meet deadlines. •Posting business transactions, processing expenses and verifying financial data, which is thereafter used for maintaining accurate accounts payable records. •Ensuring compliance with company policies, procedures, relevant accounting requirements, ...

... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...

Data Scientist – Snowflake + Agentic AI / Cortex AI