667 Business Intelligence jobs in Bengaluru

About Us

Eagle Eye Networks is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with artificial intelligence (AI) and analytics to make businesses more efficient and the world a safer place. The Eagle Eye Cloud VMS (video management system) is the only platform robust and flexible enough to power the future of video surveillance and intelligence. Eagle Eye is based in Austin, Texas, with offices in Amsterdam, Bangalore, and Tokyo.

Eagle Eye Networks is a dynamic, fast-moving company. We value the benefits of face-to-face collaboration, and we believe it is more enjoyable and productive. The synergy of in-office interaction is critical to our culture and your presence is essential for Eagle Eye Networks' success.

Summary

The Revenue Operations Team at Eagle Eye Networks is responsible for driving revenue growth. This team includes the Revenue Analytics team, which manages an on-prem analytics stack to provide descriptive, predictive, and prescriptive analytics. A key role within this team is the senior data engineer, who will be responsible for data ingestion, database availability, and data accuracy.

You will lead the design, automation, and orchestration of our revenue data infrastructure. You'll build robust ELT pipelines using dbt and Airflow, manage internal SQL servers, and ensure data quality and compliance across tools. We have our own internal cloud, so Kubernetes experience is a must.

Key Responsibilities

• Own, develop and automate dbt-based data models
• Design and manage Airflow DAGs
• Develop internal APIs and data pipelines
• Maintain compliance and infrastructure
• Partner with Platform Engineering

Must-Have Skills

• dbt Core, Apache Airflow, Airbyte
• Strong SQL and Python
• Docker, Linux, Git
• Kubernetes Experience
• Prior experience with messy data in non standard environments
• Must have owned end to end data pipelines

More About Eagle Eye Networks

Eagle Eye Networks is leveraging artificial intelligence on its true cloud platform to dramatically reshape the video surveillance and security industry. The Eagle Eye Cloud Video Management System (VMS) is a smart cloud video surveillance solution, purpose-built to help businesses improve safety, security, operations, and customer service. Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS. Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations. The Eagle Eye VMS has strong APIs for the secure integration of third-party systems and works with thousands of industry cameras, so customers don't have to "rip and replace" their existing infrastructure. Eagle Eye Cloud VMS is the only platform robust enough to power the future of video surveillance.

Eagle Eye Networks is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

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Dell Technologies is driven by data. Our business is built on the understanding that data creates value and drives progress. So, we take the stewardship of our data very seriously. That's the vital role played by Business Intelligence teams within Business Support. Internal clients across Dell rely on us to analyze, test, validate, and maintain the integrity of data. We make use of leading-edge software and tools to collect, mine, and interpret data and the statistical analyses and reports we produce to inform decisions with a global impact.

Join us to do the best work of your career and make a profound social impact as a Business Intelligence Advisor on our Field Marketing Team in Bangalore, India

What you'll achieve

As a Business Intelligence Advisor, you will evaluate business data to produce meaningful insights and metrics, identifying trends that improve business performance. You will encourage best practices and knowledge sharing within the organization, and as a trusted advisor to the business you will also end users to determine information requirements.

You will:

• Analyze data, formulate conclusions and provide summary analysis and interpretation to business leadership
• Consult with business to identify new reports needed to support business requirements
• Simplify and standardize reports at regular intervals, define and influence metrics definitions from a global perspective
• Design, run and implement reporting to support the business and collaborate with other groups to provide feedback and help in process improvement
• Follow industry trends and discuss them with the internal business teams

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:

Essential Requirements

• Ability to collaborate in a team environment with proven expertise in reporting
• Excellent technical aptitude and presentation skills
• Good understanding of specific data intelligence and experience with business processes

Desirable Requirements

• Proven experience in similar roles
• 5 to 8 years of experience
• Bachelor's degree

Who we are

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

Application Closing Date: 10-August-2025

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Job ID:R

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.

Company
- ADCI - Karnataka

Job ID: A

Position Title: Senior BI Specialist

Experience: 5 to 9 Years

Location: Bangalore

Notice Period: Immediate to 60 Days

Department: Data & Analytics

Employment Type: Full-time

Role Overview:

We are looking for a seasoned Senior Business Intelligence (BI) Specialist to become part of our Data & Analytics team. The ideal candidate should have 59 years of practical experience in creating and implementing scalable BI solutions utilizing tools such as Power BI, QlikView, Qlik Sense, Tableau, and Power Platform.This role demands expertise in data modeling, SQL, and UI/UX-focused dashboarding, along with a comprehensive understanding of BI architecture and its integration with cloud and enterprise systems. The candidate will collaborate closely with business stakeholders, data engineers, and product owners to convert data into strategic insights.

Key Responsibilities:

• Develop, manage, and maintain interactive BI dashboards and reports using Power BI, QlikView, Qlik Sense, Tableau, and Power Platform.
• Convert business requirements into scalable BI and analytics solutions using data modeling, SQL, DAX, and Qlik scripting.
• Implement UI/UX best practices to create intuitive, user-friendly dashboards and visualizations.
• Collaborate with stakeholders to gather requirements and define technical specifications.
• Ensure data consistency, accuracy, and performance in BI systems.
• Collaborate with Data Engineering and Governance teams to manage data availability and quality.
• Encourage self-service BI adoption by publishing datasets and enabling data reusability.
• Stay informed on modern BI tools, practices, and enterprise data strategies.

Required Skills:

• Hands-on experience with Power BI, QlikView, Qlik Sense, and/or Tableau.
• Proficient in SQL, data modeling, and ETL/ELT pipelines.
• Strong understanding of BI architecture, semantic modeling, and data governance.
• Proven ability to apply UI/UX principles to dashboard design.
• Strong communication skills and ability to interact with business and technical stakeholders.
• Self-motivated, solution-oriented, and able to work independently and within a team.

Preferred Skills:

• Experience with Power Platform (Power Automate, Power Apps, Power Virtual Agents ).
• Familiarity with Microsoft Fabric, Azure Data Services, Dataflows, Datamarts.
• Scripting abilities in DAX, M, Qlik Script, or Python (optional).
• Knowledge of row-level security, incremental refresh, and data gateway setup.
• Exposure to cloud-based BI deployment and enterprise reporting strategies.
• Familiarity with Agile/Scrum delivery methodology.
• Experience in multi-tool environments (e.g. Qlik + Power BI).

Role**: Business Intelligence Engineer

Required Technical Skill Set: Business Intelligence Engineer

Desired Experience Range: 7 - 10 yrs

Notice Period: Immediate to 90Days only

Location of Requirement: Bangalore

We are currently planning to do a Virtual Interview

Job Description:

Primary Skill:

• Proficient in SQL and Python.
• Proficient in snowflake and Databricks . Tableau

Secondary Skills:

• The Senior Business Intelligence Engineer, is responsible for designing, developing visually compelling and engaging reports that drive business decisions.
• Works remotely across time zones, this role leads technical efforts to build data pipelines, gather requirements and work with executive stakeholders.
• The role calls for strong communication skills-oral, visual and written.

Roles and responsibilities:

• Collaborate closely with Product, Stakeholders, and Engineering teams to gather requirements and define hypotheses.

• Design, develop, and deploy robust, scalable data models and data pipelines.

• Lead design, development and maintainence of scalable data pipelines and ETL processes.

• Develop, implement and optimize dashboards/reports using BI tools(Tableau, PowerBI)

• Ensure data integrity, accuracy, and consistency across all reports and other deliverables.

• Mentor to early in career and junior engineers while fostering a culture of learning and collaboration.

• Work closely with Product Manager, Data Engineering, and data science team to develop integrated and advanced analytical solution which powers business decision.

• Work remotely with stakeholders across the different timezones.