121 Analytical Skills jobs in India

We are actively hiring
a passionate and experienced Part-Time Java with Problem Solving Tutor
who can teach
college and university-level students
in a
remote, one-to-one session
format (no batch classes). The ideal candidate should be able to guide learners through
competitive programming platforms
like
Leetcode, CodeChef, Codeforces
, and help them master Java and related problem-solving techniques.

Key Responsibilities:

• Conduct
  interactive, personalized 1:1 online sessions
  for students.
• Focus on
  problem-solving strategies
  using Java and help students crack coding challenges on platforms like Leetcode, CodeChef, and Codeforces.
• Teach core
  Java concepts, data structures, and algorithms
  in an understandable and structured manner.
• Use real-world coding problems and interview-level questions to enhance problem-solving skills.
• Prepare students for
  coding interviews, contests, and technical assessments.

Requirements:

• 2 to 10 years of experience
  in Java programming and problem solving.
• Strong profile and experience with
  online coding platforms
  (Leetcode, CodeChef, Codeforces, etc.).
• Ability to teach using modern tools, techniques, and platforms suitable for computer science students.
• Must have
  excellent English communication skills.
• Must
  own a laptop
  and have a
  stable Wi-Fi connection.
• Must be available for
  part-time, flexible remote sessions
  .
• Should be
  serious about teaching
  , responsible, and committed to students' learning outcomes.
• Freshers with strong problem-solving experience
  are welcome to apply.
• Compensation: ₹400-₹500 per hour.
• Note:
  Do not apply if you have already applied for this position earlier.

Who Should Apply:

• Experienced Java developers or competitive programmers looking to share their knowledge.
• Individuals who love teaching and are passionate about mentoring students in
  coding, data structures, and algorithmic problem solving
  .

If you're enthusiastic about helping learners succeed in coding interviews and contests, and if you're confident in your Java + DSA skills, then
apply now
and start making a difference in the world of education

Apply only if you meet the above requirements and agree with the pay range.

Qualification: Recent graduate in Management, Engineering/ IT (NON-IT career aspirants), Business or Life Sciences also preferred.

We are looking for a smart, high-potential fresher to join our Implementation Team. You will learn our healthcare ERP product, understand hospital workflows, and assist in onboarding and training new implementation engineers under the guidance of senior team members. This is an excellent opportunity to build a career in healthcare technology delivery.

Key Responsibilities

• Participate in structured training to learn healthcare ERP modules (Billing, Lab, EMR, etc.)
• Understand hospital workflows and compliance standards such as NABH
• Shadow senior team members during client implementations
• Maintain and update onboarding materials, SOPs, templates, and checklists
• Assist in creating and improving training content (slides, videos, FAQs)
• Document challenges, feedback, and resolutions from field projects
• Support onboarding and internal training for new engineers
• Conduct mock demos and sandbox configurations for practice sessions
• Track training progress using structured checklists
• Learn technical deployment basics and data preparation steps
• Collaborate with project managers and client-side stakeholders
• Participate in team retrospectives and identify process improvement areas

Preferred Skills

• Recent graduate in Management, Engineering, IT(NON-IT career aspirants) , Business or Life Sciences
• Strong logical reasoning and fast learning ability
• Excellent written and verbal communication skills
• Attention to detail and proactive documentation habits
• Eagerness to learn healthcare processes and ERP delivery

Good-to-Have:

• Exposure to ERP or enterprise systems through internships or projects
• Basic understanding of hospital operations
• Proficiency in MS Office or Google Suite

Salary - 8 LPA

Roles and Responsibilities:

• Collecting, processing and analyzing data to identify trends, provide actionable insights and support informed decision-making
  
  • Gather and clean data from various internal and external sources. Ensure data quality, integrity and accuracy
  
  • Develop and maintain dashboards, scorecards, and templates that communicate insights effectively to stakeholders
  
  • Stay updated on best practices in analytics, insights, and foresight methodologies
  
  • Collaborate with global and regional stakeholders to ensure insights are aligned with business needs and drive strategic actions
  
  • Support the development and implementation of the organizations data strategy
  
  • Identify consumer trends, market shifts, and emerging signals from multiple data sources
  
  • Manage and validate data inputs to ensure accuracy and consistency across reporting and insights
  
  • Support preparation of recurring and ad-hoc insights reports for management
  
  • Partner with cross-functional teams to align insights with business priorities and decision-making
  
  • Foster a culture of quality, documentation and continuous improvement

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications.

Technical Requirements:

Strong proficiency in Python for data processing and automation.

Handson experience with generative AI models and their integration into data workflows.

Handson experience with prompt engineering and LLM models (Opensource and Closesource)

Handson experience with Application development framework like LangChain, LangGraph etc.

Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango.

Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

As a Data Analysis & Simulation Professional, the person will be responsible for:

Data Pipeline Development:

Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources.

Generative AI Integration:

Collaborate with data scientists to integrate generative AI models into the log analysis workflow.

Develop APIs and services to deploy AI models for real-time log analysis and insights generation.

Data Monitoring and Maintenance:

Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines.

Troubleshoot and resolve issues related to data ingestion, processing, and storage.

Collaboration and Documentation:

Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs.

Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing.

Evaluation and Testing:

Conduct thorough testing and validation of generative models.

Research and Innovation:

Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities.

Experiment with different architectures and approaches.

Snowflake Utilization: (Good to have)

Design and optimize data storage and retrieval strategies using Snowflake.

Implement data modeling, partitioning, and indexing strategies to enhance query performance.

Job Description:

We are looking for a skilled HR manager to oversee all aspects of Human Resources practices and processes. You will support business needs and ensure the proper implementation of company strategy and objectives. The goal is to promote corporate values and enable business success through human resources management, including job design, recruitment, performance management, training & development, employment cycle changes, talent management, and facilities management services.

Responsibilities:

• Enhances the organization's human resources by planning, implementing, and evaluating employee relations and human resources policies, programs, and practices.
• Maintains the work structure by updating job requirements and job descriptions for all positions.
• Supports organization staff by establishing and interviewing program; counselling managers on candidate selection; conducting and analyzing exit interviews; and recommending changes.
• Prepares employees for assignments by establishing and conducting orientation and training programs.
• Manages a pay plan by conducting periodic pay surveys; scheduling and conducting job evaluations; preparing pay budgets; monitoring and scheduling individual pay actions; and recommending, planning, and implementing pay structure revisions.
• Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; and counselling employees and supervisors.
• Implements employee benefits programs and informs employees of benefits by studying and assessing benefit needs and trends; recommending benefit programs to management; directing the processing of benefit claims; obtaining and evaluating benefit contract bids; awarding benefit contracts; and designing and conducting educational programs on benefit programs.
• Ensures legal compliance by monitoring and implementing applicable human resource federal and state requirements, conducting investigations, maintaining records, and representing the organization at hearings.

We are looking for Data Analytics trainees for our upcoming traineeship program.

Data Analytics Trainee Responsibilities:

• Week 1 & 2: Training Modules – Candidates will be completing the learning modules assigned.
• Week 3: Live Project – Candidates will be working on the live project assigned to them by the company.
• Week 4: Project Report – Candidates will be preparing a project report and submit.

Data Analytics Trainee Requirements:

• Bachelor's degree or pursuing
• .Proficiency with computers, especially MS Office
• .High level of accountability and motivation
• .Strong Interpersonal, time and project management, presentation, leadership, and communication skills
• .Creativity and ability to delegate responsibilities
• .Receptiveness to feedback and adaptability
• .Willingness to meet deadlines

.

We are looking for Data Analytics trainees for our upcoming traineeship program.

Data Analytics Trainee Responsibilities:

• Week 1 & 2: Training Modules – Candidates will be completing the learning modules assigned.
• Week 3: Live Project – Candidates will be working on the live project assigned to them by the company.
• Week 4: Project Report – Candidates will be preparing a project report and submit.

Data Analytics Trainee Requirements:

• Bachelor's degree or pursuing.
• Proficiency with computers, especially MS Office.
• High level of accountability and motivation.
• Strong Interpersonal, time and project management, presentation, leadership, and communication skills.
• Creativity and ability to delegate responsibilities.
• Receptiveness to feedback and adaptability.
• Willingness to meet deadlines.

Job Title: Data Analysis Intern

Company: Cloudfusion Recruitment

Location: Remote

Job Type: Internship (Full-Time)

Duration: 1–3 Months

Stipend: ₹15,000/month (Fixed)

⸻

About Us

Cloudfusion Recruitment is a tech-enabled recruitment company that connects businesses with skilled professionals while empowering students and graduates through hands-on internships. We focus on building future-ready talent with real-world learning opportunities.

⸻

Role Overview

We are seeking a Data Analysis Intern who is passionate about working with data and generating insights that drive business decisions. This internship is ideal for candidates who want to build a strong foundation in analytics and gain practical exposure to data handling, visualization, and reporting.

⸻

Key Responsibilities

• Collect, clean, and organize data from multiple sources.

• Perform exploratory data analysis (EDA) to identify patterns and trends.

• Create reports, dashboards, and visualizations to present insights.

• Use tools like Excel, SQL, and Python (Pandas, NumPy, Matplotlib) for analysis.

• Collaborate with mentors to interpret results and support ongoing projects.

• Assist in preparing data summaries for management and clients.

⸻

Required Skills & Qualifications

• Basic knowledge of Excel, SQL, and Python/R for data analysis.

• Familiarity with data visualization tools (Power BI, Tableau, or Google Data Studio).

• Strong analytical and problem-solving skills.

• Attention to detail and ability to interpret data effectively.

• Good communication and teamwork abilities.

⸻

Perks & Benefits

• Hands-on exposure to real-world data analytics projects.

• Remote internship with flexible collaboration.

• Internship certificate upon successful completion.

• Fixed stipend of ₹15,000/month.