52 Data Visualization jobs in Bangalore

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Business Intelligence Analyst is a seasoned subject matter expert, tasked with participating in the transformation of data into insights that drive business value using data analytics, data visualization, and data modelling techniques and technologies.
This role is required to transform data into critical information and knowledge that can be used to make sound business decisions and is also responsible for the establishment of system applications and/or tools that the company uses to record, organize, store, secure, and access data.
This role is required to have seasoned technical specialist proficiency in generating visual analytics, dashboards, and ad hoc reports for the business.
**Key responsibilities:**
+ Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
+ Creates forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
+ Creates specifications for reports and analysis based on business needs and required or available data elements.
+ Accountable for contributing to the definition, development, enhancement and tracking of metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
+ Works across multiple teams, using data analysis and tools to ensure analytics are valid, meaningful, and provides actionable and comprehensive insights.
+ Analyzes data across various platforms, including social media, and present trends and patterns.
+ Designs and maintains business intelligence reports and analytics.
+ Extracts and analyzes data, statistics, and information from various sources and interpret and produce the relevant reports, summaries, and briefing notes that will be used to inform business decisions.
+ Works with a variety of internal stakeholders to translate needs into data reports, data insights, and extracts.
+ Optimizes visual information for easier consumption and actionable metrics.
+ Maintains processes for ensuring data accuracy and current relevance and representation.
+ Reviews and edits requirements, specifications, business processes, and recommendations related to proposed solutions.
+ Ensures that the client receives the required support to implement recommendations and solutions.
**To thrive in this role, you need to have:**
+ Good understanding of data mining principles, predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
+ Ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
+ Ability to identify solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities.
+ Excellent analytical, problem-solving, and communication skills.
+ Excellent ability to work independently and collaborate across multiple teams and build sound working relationships.
+ Excellent understanding of current data protection and privacy laws.
+ Passionate about achieving results and statistics.
+ Technical expertise and knowledge of statistical concepts.
+ Ability to identify trends, business opportunities, etc.
+ Excellent awareness of critical business issues and priorities.
+ Programming skills with querying languages, SLQ, SAS, etc.
+ Good understanding of statistical analysis and reporting packages.
**Academic qualifications and certifications:**
+ Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field is preferred.
**Required experience:**
+ Seasoned experience working in an analytics capacity.
+ Seasoned experience working with data collection tools and software.
+ Seasoned experience working with social media platforms such as LinkedIn, Facebook, etc.
+ Seasoned experience producing Excel-based reporting.
**Workplace type** **:**
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .

Description
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across billions of products, including physical, digital, and service offerings.
You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience.
We are looking for a creative and goal-oriented BI Engineer to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth.
This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BI Engineer will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making.
You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety. You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner. This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. There will be a steep learning curve, adding a fair amount of business skills to the individual.
Key job responsibilities
* Work closely with BIEs, Data Engineers, and Scientists in the team to collaborate effectively with product managers and create scalable solutions for business problems
* Create program goals and related metrics, track progress, and manage through obstacles to help the team achieve objectives
* Identify opportunities for improvement or automation in existing data processes and lead the changes using business acumen and data handling skills
* Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing
* Contribute to supplier operations strategy development based on data analysis
* Lead strategic projects to formalize and scale organizational processes
* Build and manage weekly, monthly, and quarterly business review metrics
* Build data reports and dashboards using SQL, Excel, and other tools to improve business efficiency across programs
* Understand loosely defined or structured problems and provide BI solutions for difficult problems, delivering large-scale BI solutions
* Provide solutions that drive the team's business decisions and highlight new opportunities
* Improve code quality and optimize BI processes
* Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods (e.g., regression) for difficult business problems
A day in the life
A day in the life of a BIE-II will include:
* Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers
* Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making
* Leading reporting and analytics initiatives to drive data-informed decision making
* Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight
* Transforming complex business requirements into actionable analytics solutions.
About the team
This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization.
Basic Qualifications
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience writing complex SQL queries
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP), or experience in Hive/Spark/Hbase/Yarn and experience in any Bigdata architecture
- Demonstrate proficiency in SQL, data analysis, and data visualization tools like Amazon QuickSight to drive data-driven decision making.
- Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems.
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports.
- Track record of generating key business insights and collaborating with stakeholders.
- Strong verbal and written communication skills, with the ability to effectively present data insights to both technical and non-technical audiences, including senior management
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Proven track record of conducting large-scale, complex data analysis to support business decision-making in a data warehouse environment
- Demonstrated ability to translate business needs into data-driven solutions and vice versa
- Relentless curiosity and drive to explore emerging trends and technologies in the field
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis, as well as exploratory, deterministic, and probabilistic analysis techniques
- Experience in designing and implementing custom reporting systems using automation tools
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
About Amazon.com:
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About Team
The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team's primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience.
Overview of the role:
An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.
Basic Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proficiency in automation using Python
- Excellent oral and written communication skills
- Experience with SQL, ETL processes, or data transformation
Preferred Qualifications
- Experience with scripting and automation tools
- Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
- Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
- Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
- Understanding of cloud services, serverless architecture, and systems integration
Key job responsibilities
As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations.
Responsibilities:
- Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
- Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
- Development of dashboards and reports.
- Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations.
- Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases.
- Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.
- Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Internal job description
Retail Business Service, ARTS is a growing team that supports the Retail Efficiency and Paid Services business and tech teams. There is ample growth opportunity in this role for someone who exhibits Ownership and Insist on the Highest Standards, and has strong engineering and operational best practices experience.
Basic qualifications:
- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
- Expert-level SQL.
- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)
- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
Preferred qualifications:
- Experience with data-specific programming languages/packages such as R or Python Pandas.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.
- Knowledge of machine learning techniques and concepts.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
About Amazon.com:
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About Team
The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team's primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience.
Overview of the role:
An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics.
Basic Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proficiency in automation using Python
- Excellent oral and written communication skills
- Experience with SQL, ETL processes, or data transformation
Preferred Qualifications
- Experience with scripting and automation tools
- Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK
- Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB
- Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions
- Understanding of cloud services, serverless architecture, and systems integration
Key job responsibilities
As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations.
Responsibilities:
- Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
- Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
- Development of dashboards and reports.
- Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations.
- Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases.
- Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.
- Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Internal job description
Retail Business Service, ARTS is a growing team that supports the Retail Efficiency and Paid Services business and tech teams. There is ample growth opportunity in this role for someone who exhibits Ownership and Insist on the Highest Standards, and has strong engineering and operational best practices experience.
Basic qualifications:
- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.
- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.
- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)
- Expert-level SQL.
- Proficiency with one or more general purpose programming languages (e.g. Python, Java, Scala, etc.)
- Knowledge of AWS products such as Redshift, Quicksight, and Lambda.
- Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
Preferred qualifications:
- Experience with data-specific programming languages/packages such as R or Python Pandas.
- Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR.
- Knowledge of machine learning techniques and concepts.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our client is looking for an ambitious and detail-oriented Junior Data Analyst to join their growing Business Intelligence team. This hybrid role is perfect for an entry-level professional eager to apply analytical skills and learn from experienced data professionals within a supportive environment in Bengaluru, Karnataka, IN .

Responsibilities:

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights that support business decision-making.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to visualize data and key metrics.
• Collaborate with senior analysts and business stakeholders to understand data requirements and deliver relevant insights.
• Support the testing and validation of data models and reports.
• Contribute to the documentation of data processes and methodologies.
• Identify opportunities for process improvements in data collection and analysis.
• Learn and apply new data analysis techniques and tools.
• Assist in preparing presentations and summaries of findings for various audiences.
• Ensure data accuracy and integrity throughout the analysis process.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis concepts and statistical methods.
• Familiarity with SQL for data extraction and manipulation is a strong plus.
• Exposure to business intelligence tools (e.g., Tableau, Power BI, Looker) is advantageous.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills, with the ability to work effectively in a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Prior internship experience in data analysis or a related field is preferred.

This hybrid position requires a commitment to working both remotely and from our client's office in Bengaluru, Karnataka, IN , fostering collaboration and team integration. Our client is committed to nurturing talent and provides excellent opportunities for professional growth in the field of data analytics and business intelligence. If you are a motivated graduate looking to launch your career in data, this role is for you.

Our client is looking for an enthusiastic and detail-oriented Junior Data Analyst to join their growing business intelligence team. This internship offers an excellent opportunity for recent graduates to gain hands-on experience in data analysis, reporting, and data visualization. You will work closely with senior analysts and business stakeholders to extract insights from large datasets, contributing to informed decision-making across the organization. The ideal candidate has a strong analytical aptitude, a passion for data, and proficiency in basic data manipulation tools.

Responsibilities:

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Support the creation of reports and dashboards using BI tools (e.g., Tableau, Power BI).
• Collaborate with team members to understand data requirements and translate them into analytical tasks.
• Conduct research and gather information to support data-driven projects.
• Help in validating data accuracy and integrity.
• Learn and apply new data analysis techniques and tools.
• Document data sources, methodologies, and findings.
• Contribute to team meetings and provide input on data analysis strategies.
• Assist in presenting analytical findings to team members.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with data manipulation tools such as Microsoft Excel (including pivot tables, VLOOKUP).
• Exposure to SQL or Python for data analysis is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively as part of a team.
• Eagerness to learn and adapt to new technologies.
• Strong organizational skills and the ability to manage multiple tasks.

This internship is based in **Bengaluru, Karnataka, IN**, and requires the intern to be physically present in the office.

Description
Are you a customer obsessed, flexible, smart and analytical, strategic yet execution focused, hungry and passionate about e-commerce, with a strong work ethic? If yes, this opportunity will appeal to you. We are looking for a Business Intel Engineer II to drive challenging projects across multiple teams and locations unlocking potential of multiple Stores across the world. The ideal candidate will share Amazon's passion for the customer, always driving trade-off decisions through the prism of Amazon's customers/sellers.
We are looking for a talented, self-driven and experienced Senior Business Intelligence Engineer to lead our advanced analytics wing for FBA Product and Business team. This pivotal role provides you opportunity to work with an exceptionally innovative team of product and program leaders, slice and dice multi-dimensional high depth data mines, build complex data models to provide data driven insights for high impact decisions spanning across Merchant and Customer experience improvement Product/Program initiatives.
To be successful in this role, you will have the ability to roll up your sleeves, innovate, and quickly become a subject matter expert to assess business performance across sellers and market segments. You will be a self-starter who is willing to work hands-on, is comfortable with ambiguity and large data sets. You will also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. You will have demonstrated proficiency in SQL across variety of databases, BI tools, R or Python to analyze large data sets.
Please note that this job will be based out of BLR37 once that office space is open.
Key job responsibilities
Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets.
Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
About the team
The Emerging Marketplaces Experience Organization (EMXO) FBA drives the best FBA seller experience across multiple Emerging marketplaces. We work closely with stakeholders across the US, LATAM, MENA and APAC. We deliver solutions (program and product) that cater to the entire spectrum of FBA life cycle (such as Inbound, Inventory management, capacity management, inventory placement etc.) in partnership with stakeholders.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our client is looking for an ambitious and detail-oriented Junior Data Analyst to join their Business Intelligence team. This is a fully remote internship designed to provide hands-on experience in data analysis, reporting, and visualization. You will work closely with experienced analysts and data scientists to support various business functions by transforming raw data into actionable insights. This is an excellent opportunity for recent graduates or students seeking to build a career in data analytics. You will be instrumental in assisting with data collection, cleaning, processing, and the creation of dashboards and reports. Your contribution will help inform strategic decision-making across the organization.

Key Responsibilities:

• Assist in collecting and compiling data from various sources.
• Perform data cleaning, transformation, and validation to ensure data accuracy and integrity.
• Support the development and maintenance of business intelligence dashboards and reports using tools like Tableau, Power BI, or similar.
• Conduct basic data analysis to identify trends, patterns, and anomalies.
• Assist in creating ad-hoc reports to address specific business questions.
• Collaborate with senior analysts to understand data requirements and project objectives.
• Learn and apply statistical methods and data visualization techniques.
• Document data sources, methodologies, and reporting processes.
• Participate in team meetings and contribute to discussions on data-related projects.
• Gain practical experience with SQL for data extraction and manipulation.
• Assist in identifying opportunities for process improvements in data management and reporting.

Qualifications:

• Pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and techniques.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Exposure to SQL is beneficial.
• Proficiency in Microsoft Excel or Google Sheets.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills, comfortable working in a remote team environment.
• Eagerness to learn and adapt to new technologies and tools.
• Ability to work independently and manage tasks effectively.

This internship offers a valuable learning experience and the chance to contribute meaningfully to data-driven initiatives in a supportive, remote-first environment.

Description
About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online.
About the role: Amazon's Finance Operations, Accounting & Analysis (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking a Business Intelligence Engineer to support our Amazon Music team.
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be good at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.
The person will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
This person will own the production and delivery of suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve:
1) Delivery of standardized performance metrics for global customers (Vendors) and stakeholders (Amazon Music) providing operational bandwidth to Amazon music teams to focus on business partnering initiatives.
2) Partner with existing BI leader in executing defined roadmap of projects.
3) Provide ad-hoc support to Amazon music finance and business services for SQL report creation, modification and optimization.
4) Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates.
Tools used include:
1. SQL (Oracle and Redshift)
2. ETL tools (internal)
3. Excel
4. Tableau
5. Report scheduling tools (internal)
Basic Qualifications
- 4+ years of experience as an analyst or engineer in the data/BI space
- Experience with data visualization using Tableau, Quick sight, or similar tools
- Experience with SQL
- Retrieve and analyze data using SQL, Excel, and other data management systems
Preferred Qualifications
- Bachelor's degree in Computer Science, Computer Information Systems, or related fields
- 4 to 5 years of relevant work experience of SQL with 2 to 3 years of experience writing SQL queries
- Experience in Microsoft Excel
- Ability to work in a fast-paced and rapidly-changing environment with experience managing multiple priorities and projects
- Excellent written, verbal, listening and communication skills
- Experience with reporting tools like Tableau or other BI packages
- Team player - FP&A experience to develop forecasting models, and report variance against goals will be an added advantage
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