2,331 Data Analysis jobs in India

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 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

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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.

Data Analysis

Location : Bangalore

Exp : 7 to 9 years

Skill : Data Analysis, Data Structures,Data Warehousing

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Position Overview

Professional Experience:

Education:

Azure developer : Position : Offshore Experience Level: 8-10 yearsKey Responsibilities & Requirements:1. Hands-on experience with Microsoft Fabric, including Lakehouse, Data Factory, and Synapse.2. Strong expertise in PySpark and Python for large-scale data processing and transformation.3. Deep knowledge of Azure data services (ADLS Gen2, Azure Databricks, Synapse, ADF, Azure SQL, etc.).4. Experience in designing, implementing, and optimizing end-to-end data pipelines on Azure.5. Understanding of Azure infrastructure setup (networking, security, and access management) is good to have.6. Healthcare domain knowledge is a plus but not mandatory. domain knowledge is a plus but not mandatory.

Job Title:
 Analyst – Data Analysis

Job ID:
 RF445

Work Location:
Bengaluru, Karnataka (Hybrid)

Experience Required:
 1–2 Years

Job Type:
Full-Time, Permanent

Apply By:
30-Sep-2025

About the Role

We are seeking a Data Analyst to join our analytics team. The role involves analyzing complex datasets, applying visualization and storytelling techniques, and generating insights to drive business decisions across domains like retail, CPG, telecom, hospitality, supply chain, finance, or marketing.

Key Responsibilities

• Identify operational improvements and propose solutions using CI tools and techniques.
• Manipulate, analyze, and synthesize large datasets from multiple sources while ensuring data integrity.
• Deliver timely, high-quality analysis and reports within agreed KPIs.
• Develop dashboards and reports using approved tools (e.g., Tableau, PyDash).
• Engage with stakeholders to understand business problems and translate them into analytical solutions.
• Support automation of repeatable tasks and dashboard/report refresh processes.
• Write efficient, well-documented code and contribute reusable modules to shared repositories.
• Generate insights that contribute to business growth beyond the initial request.
• Collaborate with cross-functional teams to ensure analytics solutions align with business needs.

Requirements

• 1–2 years of analytics delivery experience in domains such as retail, CPG, telecom, or hospitality.
• Exposure to at least one functional area: marketing, supply chain, operations, finance, digital, merchandising, or customer analytics.
• Strong knowledge of Advanced Excel, SQL, Hive, and basic statistical concepts (correlation, hypothesis testing).
• Ability to build visualizations, self-service dashboards, and reports using Tableau.
• Familiarity with data warehouse concepts (Hadoop, Teradata).
• Experience with automation tools like Alteryx or Python is a plus.
• Strong problem-solving skills and ability to generate actionable insights.

What's in it for You

• Competitive fixed pay with annual performance-based bonuses.
• 30 days of leave (18 earned + 12 casual/sick) plus 10 national/festival holidays.
• Retirement benefits with voluntary savings options (NPS, VPF).
• Health insurance covering dependents, including parents/in-laws.
• Access to mental health programs, financial coaching, and salary advance options.
• SAYE program for long-term savings and investment growth.
• Access to a wellness-driven work culture with facilities for sports and fitness.

Job Title: Data Analysis Intern

Company: Cloudfusion Recruitment

Location: Remote

Job Type: Internship (Full-Time)

Duration: 1–3 Months

Stipend: ₹15,000/month (Fixed)

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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.

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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.

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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.

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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.

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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.

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.