Accenture Payroll University Trainee, Amazon Data Associate & TIAA Data Engineering Jobs 2026 | Freshers Hiring
Accenture Payroll University Trainee Recruitment 2026 | Freshers Hiring | Apply Now
Accenture has announced an excellent career opportunity for fresh graduates through its Payroll University Trainee – Global Payroll & Automation hiring program. This role offers structured training in payroll operations, AI, automation, analytics, and reporting while working with global teams. Candidates from Computer Science, IT, Commerce, Finance, HR, Business Administration, Engineering, and related disciplines are encouraged to apply.
Job Details
| Company | Accenture |
|---|---|
| Job Role | Payroll University Trainee – Global Payroll & Automation |
| Job ID | R00337669 |
| Qualification | Bachelor’s Degree in Computer Science, IT, Commerce, Finance, HR, Business Administration, Engineering or Related Field |
| Eligible Batch | 2024, 2025 & 2026 |
| Experience | 0 – 6 Months |
| Employment Type | Full Time |
| Salary | Best in Industry |
Job Summary
The Payroll University Trainee Program is designed to prepare fresh graduates for careers in Global Payroll Operations and Digital Transformation. During the program, trainees receive structured learning and practical exposure to payroll processing, reporting, automation, analytics, AI-driven payroll solutions, and enterprise technologies. The role enables candidates to work with experienced payroll, analytics, and technology professionals while developing industry-ready technical and business skills.
Roles & Responsibilities
- Support end-to-end payroll processing activities including payroll data inputs, validations, calculations, and output generation.
- Gain knowledge of payroll components including earnings, deductions, taxes, statutory compliance, and payroll regulations.
- Assist in payroll audits, reconciliation activities, and payroll data validation.
- Follow internal control procedures, compliance requirements, and data privacy standards.
- Analyze payroll information using Microsoft Excel and Power BI reporting tools.
- Support the preparation of dashboards, reports, and payroll operational insights.
- Identify payroll discrepancies, data inconsistencies, and reporting trends.
- Develop basic skills in Python, Power Automate, and automation technologies.
- Support payroll automation initiatives that improve operational efficiency.
- Gain exposure to APIs, integrations, and enterprise automation tools.
- Learn AI-powered payroll use cases including Agentic AI solutions.
- Participate in payroll process improvement and digital transformation initiatives.
- Identify opportunities to improve automation, productivity, and operational efficiency.
- Prepare Standard Operating Procedures (SOPs), process documentation, and knowledge assets.
- Work closely with Payroll, Analytics, Technology, and Cross-functional teams.
- Participate in structured Payroll University learning programs and technical training sessions.
- Demonstrate adaptability, continuous learning, and strong collaboration throughout the training program.
Required Skills
- Strong communication skills.
- Strong analytical and problem-solving abilities.
- Attention to detail and accuracy.
- Good teamwork and collaboration skills.
- Microsoft Office proficiency.
- Basic understanding of payroll or finance processes.
- Learning agility and adaptability.
Preferred Technical Skills
- Microsoft Excel.
- Power BI or Data Visualization Tools.
- Basic Python Programming.
- Power Automate.
- Basic understanding of APIs.
- Awareness of Artificial Intelligence concepts.
- Interest in Automation Technologies.
Educational Qualification
- Bachelor’s Degree in Computer Science.
- Bachelor’s Degree in Information Technology.
- Bachelor’s Degree in Commerce.
- Bachelor’s Degree in Finance.
- Bachelor’s Degree in Human Resources.
- Bachelor’s Degree in Business Administration.
- Bachelor’s Degree in Engineering.
- Related Degree Programs.
Why Join Accenture?
- Structured Payroll University Training Program.
- Hands-on experience in Global Payroll Operations.
- Exposure to Artificial Intelligence and Automation technologies.
- Experience with Power BI, APIs, and enterprise tools.
- Career development opportunities with global teams.
- Professional learning and certification opportunities.
- Excellent long-term career growth.
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TIAA Analyst – Data Engineering Recruitment 2026 | Freshers Hiring | Apply Now
TIAA Global Capabilities has announced an exciting opportunity for fresh graduates by hiring Analyst – Data Engineering professionals in Pune. Candidates interested in Cloud Technologies, AWS, Snowflake, SQL, Python, ETL, Data Warehousing, and Data Engineering can apply for this full-time position.
Job Details
| Company | TIAA Global Capabilities |
|---|---|
| Job Role | Analyst – Data Engineering |
| Job Requisition ID | R251100181 |
| Qualification | University Degree Preferred |
| Eligible Batch | 2024, 2025 & 2026 |
| Experience | Freshers |
| Job Type | Full Time |
| Salary | Best in Industry |
About the Role
Professionals in this role will work on developing, deploying, and troubleshooting cloud-based applications across Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The role provides hands-on exposure to cloud implementation, application integration, data engineering, and enterprise-scale cloud technologies.
Key Responsibilities
- Develop, deploy, and troubleshoot cloud-based applications.
- Work across SaaS, PaaS, and IaaS cloud platforms.
- Leverage cloud technologies including Salesforce Cloud Platform, Microsoft Office 365, Windows Azure, Google App Engine, and Amazon Web Services (AWS/EC2).
- Collaborate with project managers to design optimized cloud solutions within project constraints.
- Work with cloud storage services such as Amazon EBS, Amazon S3, and Amazon EFS.
- Support integration of cloud applications using APIs.
- Perform pre-scripting, post-scripting, and integration testing activities.
- Assist in delivering scalable cloud implementation solutions.
- Support enterprise data engineering initiatives.
- Participate in cloud deployment and troubleshooting activities.
Required Technical Skills
- Good knowledge of AWS.
- Snowflake.
- Python Programming.
- SQL.
- Glue experience.
- Understanding of Cloud Architecture (AWS/Azure/GCP).
- Build ETL/ELT workflows.
- Optimize Data Warehousing Solutions.
- Leverage Cloud Storage Services such as Amazon S3 and Snowflake Stages.
- Collaborate with Project Managers to deliver optimized cloud solutions.
- Knowledge of Salesforce Data Cloud will be an added advantage.
Related Skills
- Agile Methodology.
- Continuous Integration & Continuous Deployment (CI/CD).
- Data Analysis.
- Debugging.
- DevOps.
- Enterprise Application Integration.
- Operating Systems Management.
- Problem Solving.
- Programming.
- Software Development.
- Software Development Life Cycle (SDLC).
- Web Application Development.
Educational Requirements
- University Degree Preferred.
- No prior work experience required.
- Fresh graduates are encouraged to apply.
About TIAA Global Capabilities
TIAA Global Capabilities was established in 2016 with the mission of building a scalable and sustainable organization by leveraging world-class technology, innovation, operations, and shared services. The organization focuses on cloud technologies, enterprise platforms, digital transformation, and operational excellence while providing employees with opportunities to work on modern enterprise systems.
Why Join TIAA?
- Opportunity to work on modern cloud technologies.
- Hands-on exposure to AWS, Snowflake, Python, SQL, and ETL.
- Experience with enterprise cloud applications.
- Work on real-world cloud implementation projects.
- Career growth with one of the leading financial organizations.
- Learning opportunities with experienced cloud professionals.
- Exposure to DevOps and modern software engineering practices.
Amazon Data Associate Recruitment 2026 | Alexa Shopping Freshers Hiring | Apply Now
Amazon has announced an exciting opportunity for fresh graduates by hiring Data Associates for its Alexa Shopping Operations team in Bengaluru. This role offers hands-on experience in data annotation, data analysis, Artificial Intelligence (AI), and Large Language Models (LLMs). Candidates who are passionate about data quality, accuracy, and improving customer experience are encouraged to apply.
Job Details
| Company | Amazon |
|---|---|
| Job Role | Data Associate – Alexa Shopping |
| Job ID | 10474929 |
| Department | Alexa Shopping Operations |
| Job Location | Bengaluru |
| Qualification | Bachelor’s Degree |
| Eligible Batch | 2024, 2025 & 2026 |
| Experience | Freshers |
| Employment Type | Full Time |
| Salary | Best in Industry |
About the Role
Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. The team works closely with Shopping feature teams to improve customer experience across shopping features, devices, and multiple locales. Their primary focus is handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a better shopping experience to customers worldwide.
The mission of the Alexa Shopping Operations team is to empower Amazon’s Large Language Models through Reinforcement Learning from Human Feedback (RLHF) across multiple categories while delivering high-quality datasets with speed, operational excellence, and advanced technology. As a Data Associate, you will play a vital role in improving Alexa’s natural language understanding and enhancing customer experience quality metrics.
Key Responsibilities
- Process annotation and data analysis tasks with high efficiency and accuracy in a fast-paced environment.
- Deliver assigned SLAs and KPIs including productivity, turnaround time, and quality targets.
- Perform repetitive annotation tasks while making judgment-based decisions by following Standard Operating Procedures (SOPs).
- Maintain high standards of quality and consistency throughout data processing activities.
- Contribute to team initiatives focused on improving process efficiency and operational quality.
- Support Alexa’s Natural Language Understanding models through accurate annotation and analysis.
- Work under the guidance of Operations Managers and Senior Data Associates.
- Ensure all assigned tasks are completed within defined timelines.
- Follow operational guidelines and maintain data integrity throughout the annotation lifecycle.
- Contribute to improving Artificial Intelligence and Large Language Model datasets for Amazon Shopping.
Required Qualifications
- Bachelor’s Degree from a recognized university.
- Ability to speak, read, and write fluently in English.
- Passion for working with data.
- Strong attention to detail.
- Ability to work efficiently in a fast-paced environment.
- Good analytical and decision-making skills.
- Commitment to delivering high-quality work.
Preferred Qualifications
- Knowledge of Microsoft Office products and applications.
- Good data handling skills.
- Strong organizational abilities.
- Ability to work collaboratively within a team.
Skills Required
- Data Annotation
- Data Analysis
- Artificial Intelligence (AI)
- Large Language Models (LLMs)
- Attention to Detail
- Analytical Thinking
- Decision Making
- English Communication
- Productivity Management
- Quality Assurance
- Microsoft Office
- Team Collaboration
Why Join Amazon?
- Work on cutting-edge Artificial Intelligence and Large Language Model projects.
- Gain hands-on experience with data annotation and AI model improvement.
- Contribute to improving Alexa Shopping customer experience.
- Collaborate with experienced Operations Managers and Data Associates.
- Opportunity to work in a fast-paced global technology environment.
- Develop analytical, problem-solving, and data management skills.
- Career growth opportunities within Amazon’s global operations teams.
Frequently Asked Questions (FAQs)
1. Who can apply for these jobs?
Candidates who have completed Bachelor’s Degree in relevant disciplines and belong to the eligible batches mentioned in the job details can apply.
2. Is prior experience mandatory?
No. These opportunities are suitable for freshers and candidates having up to one year of experience.
3. What is the selection process?
The selection process generally includes Online Application, Resume Shortlisting, Online Assessment (if applicable), Technical Interview, HR Interview, and Final Offer.