1,342 System Analysis jobs in India
System Analysis Senior Analyst
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**ABOUT EVERNORTH:**
Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
we solve the problems others don't, won't or can't.
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.
We are always looking upward. And that starts with finding the right talent to help us get there.
**Position Overview**
Evernorth is seeking a dynamic and detail-oriented System Analyst to support our Financial Data Warehouse application. You will be working closely with cross-functional teams to ensure the efficient operation, enhancement, and maintenance of our enterprise level data systems. As a System Analyst, you will analyze, design, and implement solutions that align with the business goals of Evernorth's financial operations.
This role offers an exciting opportunity to make an impact on the financial data systems that drive the business decisions, analytics, and compliance within a global healthcare organization.
The focus of the work is to continue to enhance our market winning capabilities within Health and Care Solutions space.
The Evernorth℠Technology strategy is fully aligned with our business strategy, resulting in an opportunity for you to influence in various directions - this includes overseeing the integration of financial data from various internal and external systems into the data warehouse. You will play a critical role in ensuring data consistency, accuracy, and integrity across all financial sources.
This is a hands-on position to design system workflows, data models, and integration approaches that adhere to business requirements and data governance policies. The role also requires you to create and maintain documentation related to system architecture, design, and functional specifications. This also ensures system design decisions align with best practices and industry standards for data management security and performance.
**Responsibilities**
+ Collaborate with business users, developers and data architects to gather requirements and translate them into functional/non-functional specification
+ Analyze and translate healthcare business requirements related to financial transactions, eligibility, membership, providers, networks etc into functional specifications
+ Gather and assess requirements and assist with translation into optimal solutions
+ Create data mapping documents for mapping and validating data elements from multiple source systems to warehouse
+ Collaborate with QA teams to define test strategies, cases, and expected results for data flows within the system
+ Walkthrough the functional design documents and related deliverables with the technical team and business team to seek signoff
+ Review and provide feedback on the technical design documents from the technical team to ensure it aligns with the functional design document and leverages best practices from a Data Warehouse perspective
+ Lead efforts to improve data quality and system reliability Troubleshoot production issues, perform data profiling, impact analysis and root cause analysis to implement long-term solutions
+ Coordinate with cross-functional teams to ensure data integrity and smooth system integrations
+ Participate in full system development life cycle(SDLC), including analysis, design, testing, implementation and documentation
+ Provide functional support in the form of research, documentation updates and enhancement requests during the testing phase to ensure the defects identified are valid defects that the technical team needs to work on
+ Mentor junior analysts and contribute to best practices in mainframe-based data processing and architecture
**Qualifications**
**Required Skills:**
+ 5+ years of experience as a System Analyst working in mainframe environments
+ Prefer candidates deeply passionate about data, solving complex problems and turning messy information into meaningful insights
+ Solid experience with DB2 for z/OS(or any relational databases)Prefer knowledge of health insurance operations related to claims adjudication, policy/member management and provider networks
+ Experience in documenting key deliverables such as Requirement Gathering, Functional Design and Data Mapping.
+ Proven experience in supporting and maintaining data warehouses in a regulated environment
+ Prefer experience with data governance, data quality and audit processes in healthcare IT
+ Have a strong understanding of the data warehouse architecture including physical data models, ETL, logical business models and subject areas.
+ Good communication skills to bridge technical and non-technical audience
+ Strong project ownership and time management
+ Collaborative mindset with leadership capabilities
**Required Experience & Education:**
+ Bachelor's degree in Computer Science/Information systems/Software Engineering (or Business Administration with IT experience), typically five or more years of solid, diverse work experience in IT with a minimum of three years' experience in Data warehouse application design, development and implementation.
+ Proven experience with design, and development of large-scale enterprise application solutions.
**Desired Experience: **
+ Exposure to Mainframe systems and relational databases like DB2, Oracle
+ Knowledge of TSO/ISPF and batch processing tools is preferred Health care insurance industry experience is desired
These two sections will be "standardized" in the JD template and made not editable.
**Location & Hours of Work**
The position is in-office and standard hours expected
**Equal Opportunity Statement**
_Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations._
**About Evernorth Health Services**
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Power System Analysis Engineer
Posted today
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Company Description
Elegrow Technology, located in Surat, is an engineering consultancy firm with over 20 years of expertise specializing in power systems, design engineering, and various engineering services. They have successfully completed 700+ projects for over 300 companies globally in sectors like Pharmaceuticals, Chemicals, Petrochemical, Oil & Gas, Power, and Renewable Energy.
Role Description
This is a full-time hybrid role for a Power System Engineer at Elegrow Technology. The role involves tasks such as conducting power system studies, overseeing power systems, working on electrical engineering projects, and managing power generation. The position allows for some flexibility to work remotely Based on the Skills.
- This Roles is Separately for Different Kind of Specalised Power System Studies Which Including EMT and RMS Studies. Perform system studies such as interconnection, Transient Stability, Dynamic Stability Studies.
- Power System Engineers Require to Carryout Different Simulation Applicable for Grid Code Compliance Studys of Different Countries Which Majority Including Load Flow, Short Circuit, Protection Device Co Ordination, HVRT, LVRT, Harmonics Studies, Reactive Power Capability Studies, Etc.
- Power System Engineers Require to Carryout Different Simulation Applicable for EMT Simulation Which Majority Including Insulation Co Ordination, Studies, Motor Starting Studies, Switching Transient Studies, Etc.
- Collect system data from clients, utilities, suppliers, and subcontractors for system modelling.
- Minimum of 3-5 years of relevant industry experience in a power systems consultancy or electric utility
- Provide power systems design and support to teams working on Multiple Projects
Requirements
- Hands On Experience in DigSILENT Power Factory, EMTP & PSCAD
- Must Have Proper Knowledge of IEEE, IEC and NFPA Standards for System Studies
- Master’s degree in electrical engineering or Power Systems.
- Bring Specific knowledge of power system modelling and simulations.
Qualification
- BE / B.Tech - Electrical, M.Tech Power System
Power System Analysis Expert
Posted today
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Job Title: Power System Engineer
About the Role:
We are seeking a highly skilled and experienced Power System Engineer to join our team. The ideal candidate will have strong expertise in Power System Studies and related software tools to deliver high-quality engineering solutions for our projects.
Responsibilities
* Lead power system studies, including short circuit analysis, load flow calculations, and PSS (Power System Stability Studies).
* Conduct Power System Studies including Load Flow, Short Circuit, and Stability Analysis.
* Perform modelling, simulation, and analysis of power systems to ensure optimal performance.
* Collaborate with cross-functional teams to ensure accurate modeling of complex power systems.
* Provide technical guidance on power system design, operation, and maintenance.
Job Requirements
* 5-12 years of experience in the field of power systems engineering.
* Strong knowledge of digsilent software tools such as PSCAD (Power System Computer Aided Design) and MIPower.
* Experience with CYME modeling language for power system simulation.
Interested candidate can share updated resume to
Data Analysis
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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
Data Analysis
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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.
Data Analysis
Posted today
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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.
Data Analysis
Posted today
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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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Data Analysis
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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 Intern
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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.
Data Analysis Trainee
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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.