11+ Training needs analysis Jobs in Chennai | Training needs analysis Job openings in Chennai

Key Responsibilities:

•Coordinate and execute end-to-end learning programs: onboarding, technical training, soft skills, leadership development, and functional skill-building initiatives.

•Liaise with internal stakeholders and external vendors to plan, schedule, and deliver training sessions (virtual and in-person).

•Manage and update the Learning Management System (LMS), ensuring courses, enrollments, and feedback are properly recorded and maintained.

•Support learning need analysis by gathering insights from managers, performance reviews, and employee feedback.

•Track learning participation, completion rates, and training effectiveness metrics and share regular reports with leadership.

•Assist in content curation, microlearning programs, and digital learning initiatives using innovative tools and AI-driven platforms.

•Support the development of career paths, competency frameworks, and personalized learning journeys for employees.

•Promote a strong learning culture through communication campaigns, gamification, and employee engagement activities related to development.

•Maintain updated documentation, feedback analysis, and impact assessments for all L&D programs.

Key Skills & Competencies:

•1–5 years of experience in Learning and Development / HRD roles in fast-paced environments

•Strong hands-on experience with LMS platforms, training coordination, and learning operations

•Excellent communication skills – both written and verbal

•Strong project management, organizational, and multitasking abilities

•High attention to detail and ability to analyze learning data and generate insights

•Creative thinker with a passion for innovation in learning methodologies

•Tech-savvy with knowledge of Zoho People (preferred), LMS tools, and AI-driven learning tools

•Proactive, self-motivated, and able to thrive in a hybrid work environment

Company Overview

Ailaysa Technologies is a fast-growing AI startup specializing in state-of-the-art technological solutions for multilingual content. We are looking for highly driven, analytical minds to join our research and strategy team.

Role Summary

As a Market Research Intern, you will play a crucial role in gathering, analyzing, and synthesizing data to provide actionable market insights. You will work closely with cross-functional leadership teams to track industry trends, map competitor strategies, and produce data-driven reports, competitor matrices, and industry white papers that influence business decisions.

Key Responsibilities

• Market Intelligence & Trend Analysis:
• Conduct extensive primary and secondary market research on industry trends, emerging technologies, and target audience behavior.
• Synthesize complex qualitative and quantitative data into structured market intelligence reports.
• Competitor Analysis & Benchmarking:
• Continuously track and evaluate key industry competitors, looking at their product features, pricing structures, marketing tactics, and market positioning.
• Build and maintain detailed competitor analysis frameworks and SWOT matrices for internal strategic reviews.
• White Paper & Thought Leadership Content:
• Assist in drafting, proofreading, and structuring deep-dive white papers, case studies, and industry insight documents.
• Conduct rigorous data validation and literature reviews to ensure technical accuracy and credibility in published documents.
• Data Aggregation & Reporting:
• Collect numbers and statistics from research databases, financial filings, and industry journals.
• Design clean, easy-to-digest data visualizations and slide decks to present findings to leadership stakeholders.

Required Skills & Qualifications

• Education: Final year student or recent graduate with a Master’s degree in Business Administration (MBA), Marketing, Economics, Statistics, Data Analytics, or a related discipline.
• Research Aptitude: Strong ability to separate high-quality data from noise using secondary research tools, industry journals, and reliable analytical frameworks.
• Analytical Thinking: Proficiency in analyzing numerical data, identifying patterns, and drawing logical, unbiased conclusions.
• Technical Writing: Exceptional written communication skills with the ability to write in an objective, professional, and structured tone (essential for white papers and reports).
• Tools: Proficient with MS Office / Google Workspace (especially Excel/Sheets for data tracking and PowerPoint/Slides for presentations). Exposure to data visualization tools (like Power BI or Tableau) is a major plus.

Key Performance Indicators (KPIs) for the Intern

• Research Accuracy: Delivery of validated, error-free competitor and market datasets.
• Document Readability: Structuring white papers and reports that require minimal structural edits from senior leadership.
• Timeline Adherence: Turning around market intelligence reports within agreed project deadlines.

What We Offer

• Mentorship: Direct exposure to product managers and strategic business leaders.
• Real Impact: Opportunity to see your research directly shape the corporate roadmap and published white papers.
• Career Growth: High potential for a Full-Time Employee (FTE) conversion based on performance during the internship.
• Stipend: Best-in-industry internship stipend.

Job Description

• Min 5 years of Test Data Management tools experience with experience in Data De-identification and Masking Capabilities.
• Min 3 years of experience working on the Delphix tool with Data De-identification TDM experience
• Min 2 years of Experience in Synthetic Data Generation Capabilities
• Nice to have Experience in Python and .NET
• Understand and align with the roadmaps of key consumers with faster turnaround of test data generation.
• Optional: Prior experience working in cloud-hosted platforms, CICD pipeline, and integration of test data into the pipeline.

Technical Lead

The ideal candidate should possess the following qualifications:

• Education: Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Experience: 9+ years in software development with a proven track record of delivering scalable applications.
• Leadership Skills: 4+ years of experience in a technical leadership role, demonstrating strong mentoring abilities.
• Technical Lead must Lead and mentor a team of software developers and validation engineers.
• Technical Skills: Technical Lead must have Proficiency in programming languages such as C#, React js, SQL, MySQL, Javascript, Web API are required .NET, or Python, along with frameworks and tools used in software development.
• Technical Lead must have General working knowledge of Selenium to support current business automation tools and future automation requirements.
• General working knowledge of PHP desired to support current legacy applications which are on the roadmap for future modernization.
• Technical Lead must have Strong understanding of software development lifecycle (SDLC).
• Experience with agile methodologies (Scrum/Kanban or similar).
• Knowledge of version control systems (Git or similar).
• Development Methodologies: Experience with Agile development methodologies and experience with CI/CD pipelines.
• Problem-Solving Skills: Strong analytical and problem-solving abilities that enable the identification of complex technical issues.
• Collaboration: Excellent communication and collaboration skills, with the ability to work effectively within a team environment.
• Innovation: A passion for technology and innovation, with a keen interest in exploring new technologies to find the best solutions.

Key Responsibilities:

1. Design and Development: Lead the design and development of web

applications using Python and Flask, ensuring code quality, scalability, and

performance.

2. Architecture: Collaborate with the architecture team to design and implement

robust, maintainable, and scalable software solutions.

3. API Development: Develop RESTful APIs using Flask to support front-end

applications and external integrations.

4. Database Management: Design and optimize database schemas, write efficient

SQL queries, and work with databases like PostgreSQL, MySQL, or NoSQL

solutions.

5. Testing and Debugging: Write unit tests and perform code reviews to maintain

code quality. Debug and resolve complex issues as they arise.

6. Security: Implement security best practices, including data encryption,

authentication, and authorization mechanisms.

7. Performance Optimization: Identify and address performance bottlenecks in

the application, making improvements for speed and efficiency.

8. Documentation: Maintain clear and comprehensive documentation for code,

APIs, and development processes.

9. Collaboration: Collaborate with cross-functional teams, including front-end

developers, product managers, and QA engineers, to deliver high-quality

software.

10. Mentorship: Provide guidance and mentorship to junior developers, sharing your

knowledge and best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related

field.

Proven experience (4-5 years) as a Python developer, with a strong emphasis on

Flask.

Solid understanding of web development principles, RESTful APIs, and best

practices.

Proficiency in database design and SQL, as well as experience with database

systems like PostgreSQL or MySQL.

Familiarity with front-end technologies (HTML, CSS, JavaScript) and related

frameworks is a plus.

Strong problem-solving skills and the ability to work in a fast-paced, collaborative

environment.

Excellent communication skills and the ability to work effectively in a team.

Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes)

is a plus.

Key Responsibilities:

- Design, develop, and maintain scalable applications using Python and TypeScript.

- Work with cutting-edge tech, building solutions using Large Language Models.

- Architect and optimise cloud infra for efficiency, security, and scalability (AWS, Azure, or GCP).

- Integrate and deploy APIs, databases, and front-end interfaces seamlessly.

- Lead code reviews to uphold coding standards and mentor junior developers.

Required Skills and Qualifications:

- 8+ years in software development with expertise in Python and TypeScript.

- Exposure to building or integrating solutions using LLMs.

- Proven ability to lead teams or projects, ensuring high quality outcomes.

- Proficiency in managing cloud environments (AWS, Azure, or GCP).

- Hands-on experience with CI/CD pipelines, containerisation and Infrastructure-as-Code.

- Strong skills in SQL/NoSQL databases and performance tuning.

- Exceptional analytical and debugging skills.

Nice to Have:

- Experience with vector databases (e.g. Weaviate or Milvus) for semantic search or embedding storage.

- Familiarity with Gen AI frameworks and tools (e.g., LangChain, LlamaIndex).

- Familiarity with frontend frameworks (Next.js or Angular).

- Active contributions to open-source projects or a strong GitHub portfolio.

What We Offer:

- Opportunity to work with the latest in Generative AI.

- Competitive salary and comprehensive benefits.

- A forward-thinking, collaborative environment.

- Flexibility in work policies to foster a healthy work-life balance.

If being the first employee people encounter when they come into an establishment sounds interesting to you, becoming a front office executive could be a great career match. These customer-service-oriented professionals  make a positive impression on guests and keep operations flowing. As one of the company’s main ambassadors, front office executives try to build excitement and convey information. Before guests leave, front office executives may hand them cards to rate satisfaction & explain to them about other services & offers that the company is running. Because the nature of their position involves so much contact with the public, front office executives need to be good representatives of their organization. They must possess a friendly and upbeat demeanor, dress professionally, and act courteously. Other attributes include Interpersonal skills, Customer-centric, Multitasking, Attention to detail

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• MSSQL, SSIS, Performance Tuning, Data modeling.
• Experience in No SQL tools is must
• Candidate should have exposure to write scripts in Python/Node JS/MongoDB or any other tool
• Maria DB/MYSQL, Mongo DB, Github, Jira
• Understand Requirements from client and on-site team.
• Participate in preparing design and data modelling.
• Comfortable with SQL Stored procedures and queries development.
• Comfortable with SQL Stored procedures and queries development.
• Manage SQL Server through multiple product lifecycle / environments, from development to critical production systems.
• Apply best in industry standard techniques for data modeling to ensure performance, integrate and requirement.
• Ability to analyze independently problems and resolve them on time.