tamil nadu junior data analyst Jobs – 119 Open Jobs Today

Lead Data Analyst L1
Wipro Limited —Chennai, Tamil Nadu
- Computer Science
- SQL
- Bachelor's degree
6d
Data Governance with AI/Gen AI
Citi —Chennai, Tamil Nadu
- Full-time
- Management
- Master's degree
- SQL
7h
Applications Development Senior Programmer Analyst -Assistant Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Project management
- Bachelor's degree
7h
Applications Development Sr Programmer Analyst - Python Spark
Citi —Chennai, Tamil Nadu
- Full-time
- Azure
- Databases
- SQL
7h
Applications Support Technology Lead Analyst-Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Oracle
- Java
- Databases
7h
Application Support Technology Lead Analyst - Vice President
Citi —Chennai, Tamil Nadu
- Weekend availability
- Hybrid work
- Oracle
- Finance
- Master's degree
7h
Application Development Tech Lead Analyst - Vice President
Citi —Chennai, Tamil Nadu
- Full-time
- Master's degree
- Project management
- Bachelor's degree
7h
Principal Analyst - Treasury
KBR —Chennai, Tamil Nadu
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Office
4h
Lead Salesforce Developer
CUBE84 —Chennai, Tamil Nadu
- Full-time
- Salesforce
- DevOps
- JavaScript
10d
Pega Developer
Citi —Chennai, Tamil Nadu
- Full-time
- Azure
- Oracle
- Computer Science
7h
Lead - Celonis Developer
Guidehouse —Chennai, Tamil Nadu
- Oracle
- ERP systems
- SQL
Connex/ Base24 Developer
FIS Global —Chennai, Tamil Nadu
- Full-time
- SQL
- Agile
3877033-Senior Executive
EXL Service —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
SAP Senior Consultant – ATTP
AstraZeneca —Chennai, Tamil Nadu
- Full-time
- English
- Communication skills
6d
SNOW Architect
Prodapt —Guindy, Chennai, Tamil Nadu
- Scripting
- Software development
- Agile
Dotnet Developer - Senior Associate
KG Information Systems —Coimbatore, Tamil Nadu
- Full-time
- Azure
- Oracle
- Computer Science
7d
Connex/Base24 Developer ( 3 - 12 Years)
FIS Global —Chennai, Tamil Nadu
- Full-time
- SQL
- Bachelor's degree
- Agile
Casualty Analyst
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Weekend availability
- Computer Science
- English
- Research
Quick apply
Senior Test Engineer, Functional
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Microsoft Office
- Software development
- Agile
Quick apply
Senior Test Engineer
Explorance —Chennai, Tamil Nadu
- Full-time
- Azure
- SQL
- Analysis skills
Quick apply

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Lead Data Analyst L1

Wipro Limited -
Chennai, Tamil Nadu

Apply Now

Job details

6 days ago

Qualifications

BCS
CI/CD
Data modeling
Cloud architecture
Computer Science
Google Cloud Platform
SQL
Bachelor's degree
Machine learning
Version control systems
Continuous integration
UML
APIs
ETL
Financial services
AI
Data warehouse
Python
Analytics
Information Technology

Full job description

Job Description

Job Title: Lead Data Analyst L1

City: Bengaluru, Chennai

State/Province: Karnataka, Tamil Nadu

Posting Start Date: 6/2/26

Job Title: GCP Data Architect - Data Pipelines and DataOps

Location: Offshore

Job Responsibilities:

Data Architecture and Design:

Lead the design and development of scalable and efficient data architectures on GCP, with a focus on data pipelines and DataOps principles.
Collaborate with cross-functional teams to understand business requirements and translate them into comprehensive data solutions.
Experience in Data Products principles and designing Data API’s
Data Ingestion considering System of Records, Systems of Engagement and Systems of Insight

Data Pipelines Expertise:

Design, implement, and optimize end-to-end data pipelines, ensuring seamless integration with various data sources and destinations.
Implement data streaming and batch processing solutions to support real-time and batch analytics.

DataOps Implementation:

Establish and maintain robust DataOps processes to streamline the development, deployment, and monitoring of data pipelines.
Implement version control, automated testing, and continuous integration practices for data pipelines.

GCP Data Services Mastery:

Possess advanced knowledge and hands-on experience with GCP data services, including BigQuery, Dataflow, Dataprep, Dataproc, and other relevant tools.
Stay updated on the latest GCP data services offerings and integrate new technologies into data pipeline architectures.

Data Governance and Security:

Implement and enforce data governance policies within the context of DataOps, ensuring data integrity, security, and compliance.
Collaborate with security and compliance teams to address any data security concerns in data pipeline processes.

Collaboration and Leadership:

Collaborate with data engineers, data scientists, and business stakeholders to understand their requirements and align data architectures with organizational goals.
Provide technical leadership and mentorship to junior team members.

Documentation and Best Practices:

Maintain comprehensive documentation for data architectures, data pipeline processes, and configurations.
Define and promote best practices for data pipeline development, deployment, and monitoring within the organization.
Documenting Conceptual, Logical Data Models, data principles, data dictionaries, schema definition and Data API specifications

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
Minimum of 10 years of hands-on experience with GCP data services, data engineering, and a focus on data pipelines and DataOps.
Proven experience in designing and implementing complex data architectures with a strong emphasis on data pipelines.
Strong proficiency in SQL, Python, or other relevant programming languages.
Excellent understanding of data modelling , ETL processes, and data warehousing.
Experience with version control systems and CI/CD practices for data pipelines.
Strong problem-solving and troubleshooting skills.
Ability to communicate complex technical concepts to non-technical stakeholders effectively.
Google Cloud Professional Data Engineer or Data Architect certification.

Preferred Qualifications:

Experience with machine learning and AI technologies on the GCP platform.
Familiarity with advanced analytics, data lakes, and streaming data architectures.

If you are a result driven GCP Data Architect with a focus on data pipelines and DataOps practices, we invite you to apply for this exciting opportunity.

Job Description:

Job Description

Role Purpose

The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions

͏

Dos

1. Managing the technical scope of the project in line with the requirements at all stages

a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends

b. Develop record management process and policies

c. Build and maintain relationships at all levels within the client base and understand their requirements.

d. Providing sales data, proposals, data insights and account reviews to the client base

e. Identify areas to increase efficiency and automation of processes

f. Set up and maintain automated data processes

g. Identify, evaluate and implement external services and tools to support data validation and cleansing.

h. Produce and track key performance indicators

2. Analyze the data sets and provide adequate information

a. Liaise with internal and external clients to fully understand data content

b. Design and carry out surveys and analyze survey data as per the customer requirement

c. Analyze and interpret complex data sets relating to customerÃ¢ÂÂs business and prepare reports for internal and external audiences using business analytics reporting tools

d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking

e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool

f. Develop predictive models and share insights with the clients as per their requirement

͏

Deilver

No.

Performance Parameter

Measure

Analyses data sets and provide relevant information to the client

No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

͏

Job Title: GCP Data Architect - Data Pipelines and DataOps

Location: Offshore

Job Responsibilities:

Data Architecture and Design:

Lead the design and development of scalable and efficient data architectures on GCP, with a focus on data pipelines and DataOps principles.
Collaborate with cross-functional teams to understand business requirements and translate them into comprehensive data solutions.
Experience in Data Products principles and designing Data API’s
Data Ingestion considering System of Records, Systems of Engagement and Systems of Insight

Data Pipelines Expertise:

Design, implement, and optimize end-to-end data pipelines, ensuring seamless integration with various data sources and destinations.
Implement data streaming and batch processing solutions to support real-time and batch analytics.

DataOps Implementation:

Establish and maintain robust DataOps processes to streamline the development, deployment, and monitoring of data pipelines.
Implement version control, automated testing, and continuous integration practices for data pipelines.

GCP Data Services Mastery:

Possess advanced knowledge and hands-on experience with GCP data services, including BigQuery, Dataflow, Dataprep, Dataproc, and other relevant tools.
Stay updated on the latest GCP data services offerings and integrate new technologies into data pipeline architectures.

Data Governance and Security:

Implement and enforce data governance policies within the context of DataOps, ensuring data integrity, security, and compliance.
Collaborate with security and compliance teams to address any data security concerns in data pipeline processes.

Collaboration and Leadership:

Collaborate with data engineers, data scientists, and business stakeholders to understand their requirements and align data architectures with organizational goals.
Provide technical leadership and mentorship to junior team members.

Documentation and Best Practices:

Maintain comprehensive documentation for data architectures, data pipeline processes, and configurations.
Define and promote best practices for data pipeline development, deployment, and monitoring within the organization.
Documenting Conceptual, Logical Data Models, data principles, data dictionaries, schema definition and Data API specifications

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
Minimum of 10 years of hands-on experience with GCP data services, data engineering, and a focus on data pipelines and DataOps.
Proven experience in designing and implementing complex data architectures with a strong emphasis on data pipelines.
Strong proficiency in SQL, Python, or other relevant programming languages.
Excellent understanding of data modelling , ETL processes, and data warehousing.
Experience with version control systems and CI/CD practices for data pipelines.
Strong problem-solving and troubleshooting skills.
Ability to communicate complex technical concepts to non-technical stakeholders effectively.
Google Cloud Professional Data Engineer or Data Architect certification.

Preferred Qualifications:

Experience with machine learning and AI technologies on the GCP platform.
Familiarity with advanced analytics, data lakes, and streaming data architectures.

If you are a result driven GCP Data Architect with a focus on data pipelines and DataOps practices, we invite you to apply for this exciting opportunity.

Apply Now

Refine Your Search

junior data analyst jobs in tamil nadu

Lead Data Analyst L1

Data Governance with AI/Gen AI

Applications Development Senior Programmer Analyst -Assistant Vice President

Applications Development Sr Programmer Analyst - Python Spark

Applications Support Technology Lead Analyst-Vice President

Application Support Technology Lead Analyst - Vice President

Application Development Tech Lead Analyst - Vice President

Principal Analyst - Treasury

Lead Salesforce Developer

Pega Developer

Lead - Celonis Developer

Connex/ Base24 Developer

3877033-Senior Executive

SAP Senior Consultant – ATTP

SNOW Architect

Dotnet Developer - Senior Associate

Connex/Base24 Developer ( 3 - 12 Years)

Casualty Analyst

Senior Test Engineer, Functional

Senior Test Engineer

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