43,538 IT Analyst jobs in India
Technical Data Analyst
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- Core Responsibilities
- Support the data engineering function, working to continuously improve processes and solutions in the Group across all data types; focusing on demonstrable value back to the business.
- Support the development of documentation to ensure initiatives are well documented from a data perspective
- Develop technical documentation in response to business requirements
- Provide technical support for all data related projects; providing guidance and support on data best practise.
- Proactively engage with the business regarding projects and ensure that Data principles are being adhered to.
- Promote a collaborative, cross functional approach to data knowledge sharing, contributing to cross functional teams as a data SME
- Work with Data Owners and Data Stewards to ensure data is given due consideration
- Contribute to the creation, maintenance, promotion and use of metadata resources such as Data Dictionaries and Data Lineages.
- Be a champion for Data and the best use of our Group data resources in support of business objectives.
- Develop and maintain an understanding of data across key business areas, systems, processes and business relationships.
- Proactively identify improvements to data manipulation processes and systems, promoting best practise.
- Work collaboratively with Change and IT to ensure that data is considered within projects and business as usual It operations
- Maintain the company's compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.
- Experience Requirements
- 6-8 years of strong experience of data related activities e.g. analysis/data management/analytics
- 6 years of stakeholder engagement : Interacting with people across both business and IT domains
- 4 years of providing Data Analysis services e.g. as a Data Analyst, BI Analyst/Developer is essential
- 4 years' experience of implementing processes and procedures around data and information management is desirable
- Knowledge Requirements
- Strong experience in data related activities and principles is essential
- Evidence of delivering analysis solutions is essential
- Demonstrable knowledge of data tools landscapes
- Understanding of design and development of data stores, database, data warehouses and associated toolsets is desirable
- Ability to query and interrogate data using languages such as SQL , Python
- Excellent documentation writing skills
- Experience of Data landscapes, ETL/ELT processes and best practices
- Skill and Competency Requirements
- Proven passion for data is essential and a strong drive for results is essential
- Good interpersonal, influencing and relationship management skills is essential
- Extremely meticulous in approach to work with outstanding attention to detail is essential
- A quick learner and an ability to work with little or no supervision is essential
- A team player with an ability to function in a setting with tight deadlines is essential
- A commercial outlook, able to relate data initiatives to business value
- Required Qualifications/Certifications
- Bachelor's degree in Computer Science, Engineering, or a related field is essential
- Proven experience in a similar role for at least 4 years is essential
- Impeccable communication skills and ability to demonstrate
- Data analyst certification/qualification is desirable
Skills Required
Data Analysis, Technical Documentation
Technical Data Analyst
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Job Summary:
The Technical Data Analyst is responsible formaintaining investment data for clients. This role involves tasks such as analyzing and organizing raw data, building data systems and pipelines, conducting complex data analysis, and presenting information through data visualization techniques. Additionally, the analyst collaborates with clients and project management teams to grasp customer and company needs. This role requires the ability to merge data from various sources and present it in alignment with customer/company requirements, while also striving to improve data quality and reliability.
Responsibilities:
Utilize your analytical expertise to decipher and organize raw data, transforming it into valuable insights.
Build efficient and robust data systems and pipelines, ensuring seamless data flow.
Dive into complex data sets, conducting thorough analysis and delivering insightful reports on outcomes.
Showcase your findings using cutting-edge data visualization techniques, making data come to life.
Harness the power of multiple data sources, combining raw information into comprehensive and actionable insights.
Continuously explore innovative methods to improve data quality and reliability, contributing to the highest standards.
Develop and implement analytical tools and programs that empower teams to make data-driven decisions.
Collaborate closely with system architects and product development teams, fostering an environment of innovation and excellence.
Required Skills:
Deep understanding of investment data.
Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).
Understanding of database design and data warehouse principles.
Knowledge of one or more programming languages (e.g. Java, Python, VBA).
Proficiency in data manipulation and data cleansing techniques.
Knowledge of data governance and best practices in data management.
Continuous improvement mindset for self and team.
Ability to work collaboratively in a cross-functional team environment.
Ability to work with large datasets and perform data mining tasks.
Strong computer skills, including proficiency in Microsoft Office.
Excellent attention to detail and strong documentation skills.
Outstanding verbal and written communication skills.
Strong organizational and interpersonal skills.
Exceptional problem-solving abilities.
Education and Experience:
Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline.
5+ years of relevant experience in data analytics, reporting, and visualization.
Hands-on experience with SQL and NoSQL databases.
Experience with data integration and exchange, transfer, load processes.
Experience with data visualization tools such as Tableau, Power BI, or D3.js.
Business Analyst - Data Analyst
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Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
We are inviting applications for the role of BA, Data Analytics
In this role, you will be responsible for Analytical thinking and problem solving, Create and publish periodic and need based management reports in a timely and accurate manner. Responsible to maintain a data repository; should be able to retrieve data quickly with limited mentorship. Analyze data and provide recommendations to partners and Contribute to improvement of reporting efficiencies and effectiveness
Responsibilities
•Interpreting data, analyzing results using statistical techniques
•Create robust, reusable data querying, transformation, and visualization processes in Database and Excel
•Work with management to prioritize business and information needs
•Locate and define new process improvement opportunities and perform quality checks
•Demonstrate analytics and visualization tools to present information in a way that drives fact based decision making
•Develop analytical reports and represent large, complex sets of data through visual representation
Qualifications we seek in you!
Minimum qualifications
•BE/ BTech, MBA
•Should have intermediate level of Sales and Marketing
Preferred qualifications
•Proven working experience as a data analyst or business data analyst
•Strong knowledge of and experience with reporting packages (MS Excel, Business Object), databases (SQL, MS Access etc), programming (VBA, Python, R) and Data visualization
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
•Analytical thinking and problem solving abilities
•Good Presentation Skills
Business Analyst /Data Analyst
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Job Description
• 10 + Years of Overall experience in handling BA/DA role
• Experience in agreeing API contracts with consumers
• Clear understanding of Data Profiling and how to drive data definitions & data mapping
• Experience in documenting Feed Specs
• Technical skills – SQL, Mongo DBI, Post Man, MDM & ETL
• Good communication/Presentation skills (PPT & external stakeholder Management)
• User stories - Creation, Capturing acceptance criteria, validating Functional Test scenarios in JIRA & experience using Confluence
• Experience in leveraging Data led Customer transformation
• Experience in Banking domain
• Experience in defining Data Quality Measures, Op Model & Op Model to Manage data quality exceptions
Skills Required
Business Analyst, Mongo Db, Sql
Business Analyst / Data Analyst
Posted today
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Job Description
Role & Responsibilities :
- Collect, clean, and analyze data from diverse sources utilizing Python and Excel to derive meaningful insights.
- Create dynamic dashboards and visualizations to present findings clearly and effectively to stakeholders.
- Conduct statistical analyses to identify trends and patterns that inform strategic decisions.
- Design and implement data models to support ongoing analytics processes.
- Collaborate with cross-functional teams to understand data needs and deliver actionable recommendations.
- Prepare comprehensive reports and presentations, demonstrating analytical findings to both technical and non-technical audiences.
Skills & Qualifications :
Must-Have :
- Proficiency in Python for data analysis, with experience in libraries like Pandas and NumPy.
- Advanced skills in Excel for data manipulation, analysis, and visualization.
- Strong understanding of statistical methods and their application in data analysis.
- Experience with SQL for querying and managing databases.
- Ability to effectively communicate findings and support data-driven decision-making.
Preferred :
- Experience with data visualization tools such as Tableau or Power BI.
- Knowledge of machine learning concepts for predictive analytics.
- Familiarity with data warehousing concepts.
Skills Required
Python, Excel, Data Analysis, Power Bi
Business Analyst - Data Analyst
Posted today
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Job Description
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500,` with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
We are inviting applications for the role of BA-Data Analyst
In this role, you will be responsible for performing pricing of spare parts along with driving data analytics for the business. This will involve reviewing their pricing on periodic basis, identifying the gaps and making recommendations.
Responsibilities
• Responsible for data extraction, collation and cleaning in MS excel/ access
• Will be responsible for making the pricing data in ERP up to date. For this he/ she will have to identify the activities to be carried out and then execute those activities
• Will be responsible for carrying out ad hoc pricing analytics requests
• Will be responsible for carrying out various statistical and pricing analysis in excel/ access.
• Will be responsible to bring process efficiencies through digitization and implementation of relevant machine learning algorithms
• Expected to support the client on data systems and analysis
• Use statistical tools to sanitize, segment and normalize historical pricing information and master invoice data sets to provide visibility to price rate distribution
Qualifications we seek in you!
Minimum qualifications
• Master’s degree in research, statistics, math, economics, or related analytical discipline
• Fresher from a good institute or university or good relevant work experience in data analytics domain
• Curiosity is a must.
Preferred qualifications
• Proficiency with analytical and presentation tools (Excel, VBA, power point)
• Highly analytical: natural aptitude at gathering, analyzing and leveraging large data sets to make key business decisions
• Should be good with Basics statistics
• Should have can-do mindset
• Knowledge of R, Python, Tableau, Power BI is good to have
Business Analyst/Data Analyst
Posted today
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Role & responsibilities:
- Business Analytics & Reporting: Analyse business performance metrics, operational data, and market trends to generate meaningful insights.
- Data Management & Processing: Collect, clean, and transform structured and unstructured data from multiple sources for analysis.
- Stakeholder Collaboration: Work with cross-functional teams, including finance, business and operations, to translate data insights into business strategies.
- Process Optimization: Identify opportunities for automation, process improvements, and efficiency enhancements within data and reporting workflows.
Preferred candidate profile :
- Strong analytical skills with experience in business intelligence and data-driven decision-making.
- Advanced Excel skills (Pivot Tables, Macros.
- Familiarity with statistical analysis.
- Analytical & Problem-Solving Skills: Ability to analyse large datasets, identify patterns, and provide insights that impact business performance.
- Communication Skills: Strong ability to present complex data in a clear and concise manner to non-technical stakeholders.
- Detail-Oriented: High level of accuracy in handling business and operational data.
- Identify business problems or opportunities for improvement. Develop and evaluate potential solutions to problems. Evaluate the impact of solutions and identify areas for further improvement.
Preferred Qualifications:
- Education: MBA in Business Analytics, Economics, Finance, or a related field.
- Experience: 1-2 years of experience in business analysis, data analytics, or business intelligence.
- Technical Skills: Experience working in business intelligence or consulting.
- Understanding of financial data and how they impact business operations.
Skills Required
Data Management, Advanced Excel, Excel Reporting, Macros, data reporting, Pivot Table, Business Intelligence
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Business Analyst- Data Analyst
Posted 20 days ago
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IT Data Analysis cum BA profiles- 1(position)
Yeas of Exp-10+ years
Joining - Immediate
Location - Bangalore
Job Description :
Business Analyst – Data & Analytics Domain
Candidate should have strong analytical capabilities, a deep understanding of data platforms, and a passion for driving business value through data-driven solutions.
This role will support projects built on Azure ADLS and related technologies, with a focus on Retail and Wholesale Pricing domains.
Roles and Responsibilities
• Capture business problems, value drivers, and functional/non-functional requirements and translate into functionality.
• Assess risks, feasibility, opportunities, and business impact.
• Model processes, data flows, and technology to understand current value and identify improvement opportunities.
• Create and maintain clear documentation of requirements throughout the project lifecycle.
• Ensure traceability of requirements from business needs through testing and scope changes to final solution.
• Collaborate with software suppliers, designers, and developers to understand limitations and ensure requirements are met.
• Configure and document software and processes using agreed standards and tools.
• Define acceptance criteria and validate that solutions meet business needs through coordinated testing.
• Create and present compelling business cases to justify solution value and secure approval and funding.
• Initiate, plan, execute, monitor, and control Business Analysis activities within agreed parameters of cost, time, and quality.
• Lead stakeholder management activities and large design sessions.
• Lead teams to complete business analysis on projects.
• Define and coordinate testing activities.
Mandatory Skills
• Agile project experience with understanding of Agile frameworks and tools.
• Experience working in Agile environments and educating stakeholders in Agile ways of working.
• Understanding of systems engineering concepts, data/process analysis and modeling, and product/solution development.
• Bachelor's degree in a relevant field.
• 10+ years of experience in IT or Business Analysis roles.
Optional Skills
• Agile certifications/trainings (e.g., Scrum Master, Product Owner).
• CBAP (Certified Business Analysis Professional) or PMI-PBA certification.
• Lean Practitioner training and experience.
Data Knowledge Requirements
• Strong understanding of data platforms and architecture, especially Azure Data Lake Storage (ADLS).
• High-level knowledge of Databricks for data processing and analytics.
• Experience with PostgreSQL and Azure SQL for data querying and management.
• Knowledge on Python and Power BI is good to have
• Familiarity with AI and GenAI tools and technologies.
• Curiosity and willingness to learn new technologies and tools.
• Domain knowledge in Retail and Wholesale Pricing is highly desirable.