What Jobs are available for Data Analytics in Bangalore City?
Showing 271 Data Analytics jobs in Bangalore City
Marketing Data Science & Analytics
Posted 1 day ago
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Job Description
Greetings fro Netsach - A Cyber Security Company.
We are looking for Marketing Data Analyst Contractor. Will work on enabling timely, accurate and actionable reporting for business & operations as well as omni channel marketing.
Job Title: Marketing Data Science & Analytics
Exp: 3+ yrs - 10yrs
Location: Bangalore, Onsite/WFO
Duration: 1yr Contact + Extension
Face to Face Interview is mandatory for final round.
Interested candidates please share your updated resume at and please post netsachglobal.com
Responsibilities:
- Ensuring frictionless creation and delivery of business C marketing operations reporting at varying cadences (e.g., daily, weekly, monthly etc)
- Building and maintaining the Omni-channel Marketing Insight hub
- Continuously improving and evolving the above.
- Partnering with the Omni-channel marketing team to ensure usability, making recommendations, and overseeing ongoing optimization
Qualifications:
- 3+ years of experience in SL with strong knowledge in it
- Strong working understanding of spreadsheets (Excel, Google Sheets)
- Fluent with data visualization tool such as tableau with 2+ years of experience in it
- Understanding of core marketing principles and multi-channel marketing campaigns (email, web, paid, in product, etc.)
- Experience working on a marketing team
- Passionate about informing actionable insights using data and analytics
- An eye for the nuances in data and strong A skills
- Proactive thinker C self-starter
- Familiarity with task management tools like Jira, Monday, etc
Thank You
Emily Jha
Netsach - A Cyber Security Company
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Marketing Data Science & Analytics
Posted 1 day ago
Job Viewed
Job Description
Greetings fro Netsach - A Cyber Security Company.
We are looking for Marketing Data Analyst Contractor. Will work on enabling timely, accurate and actionable reporting for business & operations as well as omni channel marketing.
Job Title: Marketing Data Science & Analytics
Exp: 3+ yrs - 10yrs
Location: Bangalore, Onsite/WFO
Duration: 1yr Contact + Extension
Face to Face Interview is mandatory for final round.
Interested candidates please share your updated resume at and please post netsachglobal.com
Responsibilities:
- Ensuring frictionless creation and delivery of business C marketing operations reporting at varying cadences (e.g., daily, weekly, monthly etc)
- Building and maintaining the Omni-channel Marketing Insight hub
- Continuously improving and evolving the above.
- Partnering with the Omni-channel marketing team to ensure usability, making recommendations, and overseeing ongoing optimization
Qualifications:
- 3+ years of experience in SL with strong knowledge in it
- Strong working understanding of spreadsheets (Excel, Google Sheets)
- Fluent with data visualization tool such as tableau with 2+ years of experience in it
- Understanding of core marketing principles and multi-channel marketing campaigns (email, web, paid, in product, etc.)
- Experience working on a marketing team
- Passionate about informing actionable insights using data and analytics
- An eye for the nuances in data and strong A skills
- Proactive thinker C self-starter
- Familiarity with task management tools like Jira, Monday, etc
Thank You
Emily Jha
Netsach - A Cyber Security Company
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AI & Data Analytics Engineer
Posted 1 day ago
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Job Description
Overview
We are seeking a highly motivated Data Analytics & Transformation Analyst to join our Internal Audit department. This role will play a critical part in modernizing and streamlining our testing processes through automation, artificial intelligence (AI) , advanced analytics, and innovative coding solutions. The Analyst will collaborate with auditors and stakeholders to design, develop, and implement automated and AI-driven testing frameworks that enhance efficiency, accuracy, and insight in our audit practices.
Key Responsibilities
- Automation & AI Development: Design, build, and maintain automated and AI-enhanced testing solutions to support audit activities, streamline manual processes, and increase data-driven insights.
- Coding, Scripting & AI Integration: Develop, document, and maintain scripts and tools (e.g., Python, SQL, R, or similar languages), incorporating machine learning and natural language processing (NLP) models for anomaly detection, predictive analytics, and intelligent audit sampling.
- Data Transformation, Analytics & AI Modeling: Extract, transform, and analyze large datasets using advanced analytics and AI techniques to identify anomalies, trends, and potential risk indicators.
- Testing Optimization: Partner with internal auditors to understand testing objectives and translate them into automated and intelligent approaches that improve efficiency, accuracy, and reliability.
- Tool & Process Innovation: Research and recommend emerging technologies, including AI, generative AI, and machine learning frameworks, that can be applied to audit testing and continuous monitoring.
- Collaboration: Work closely with Internal Audit team members and cross-functional stakeholders to ensure AI-enhanced solutions meet business requirements and align with audit objectives.
- Documentation & Training : Prepare clear documentation of automated and AI-driven testing processes and provide training/support to the audit team on the use of automation and AI tools.
Qualifications:
Experience and Skills:
- Bachelor’s Degree in data Analytics, Computer Science, Information Systems, Accounting Information Systems, or a related field.
- 10 Years+ hands-on coding experience with languages such as Python, R, SQL, or similar.
- Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience integrating machine learning models into business workflows.
- Understanding of AI ethics , model validation, and bias detection.
- Experience with data manipulation, automation frameworks, and analytics tools.
- Strong understanding of data integrity, data quality, and transformation processes.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills to explain technical concepts to non-technical stakeholders.
Desirable Skills:
- Experience in internal audit, risk management, or compliance functions.
- Experience using generative AI tools (e.g., ChatGPT, GitHub Copilot) for process documentation, analysis, and code generation.
- Familiarity with audit testing methodologies or audit management software.
- Familiarity with audit testing methodologies or AI-assisted audit analytics .
- Experience with data visualization tools (Power BI, Tableau, Qlik, etc.).
- Exposure to ETL tools, APIs, or cloud-based data platforms.
- Knowledge of process mining , continuous auditing, and AI-based risk detection.
Soft Skills:
- Effective collaboration and communication skills, with a proven ability to work with interdisciplinary teams.
- Strategic thinker with a proactive approach to fraud risk assessment and process optimization.
- Commitment to upholding data integrity, confidentiality, and ethical standards in all forensic and data-driven activities.
Travel:
- Between 25%-50% travel is required
Amphenol Corporation is an equal opportunity employer and we encourage applications from all qualified candidates.
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Environmental Sustainability Data Analytics Manager
Posted 2 days ago
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Job Description
Date: Oct 8, 2025
Location:
Bangalore, India,
Company: Teva Pharmaceuticals
Job Id: 63749
**Who we are**
Together, we're on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It's a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world's leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization's Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we're always looking for new ways to continue making a difference, and new people to make a difference with.
**How you'll spend your day**
1. Data Collection and Processing Promote and ensure accurate and efficient collection, processing of periodic environmental data collection processes environmental sustainability data.
2. Data Integrity and Standardization Management Monitor, validate, Investigate, communicate and support improvements implementations to enhance data accuracy, consistency, and reliability.
3. Quantitative Data Reporting and DisclosureConsolidate and report (internally and externally) data in alignment with Sustainability team expectations and Reporting system format;Regulatory or ranking platforms expectations.Validate per-assured data and escort assurance processes
4. Data Analysis, Interpretation and communicationConduct in-depth analyses to answer management queries, identify trends, insights, and opportunities for improvement. Operate predictive model to support environmental performance forecasting and decision-making (e.g. Decarbonization Model). Provide clear and data visualizations to support effective communication, different stakeholders and business needs.
5. Advisory on Data Management EnhancementProvide insights and recommendations for data management improvements through lessons learned sessions and prioritized projects
**Your experience and qualifications**
Data Management & Processing
Proficiency in Excel (advanced), Power Query, and data wrangling techniques
Experience with ETL processes (Extract, Transform, Load)
Understanding of data integrity, quality control, and standardization
Data Analytics & Modeling
Competency in data analysis using tools such as:
Power BI developer (for dashboards and visualizations)
Python or R (for deeper statistical or trend analysis) - optional but preferred
Experience operating or maintaining predictive models (e.g., emission forecasting, MACC, cost-benefit analysis)
**Reports To**
Director Transformation and PMO
**Already Working @TEVA?**
If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply:Internal Career Site ( internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.
**Teva's Equal Employment Opportunity Commitment**
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
EOE including disability/veteran
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Entry-Level Graduate - Data Analytics
Posted today
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Job Description
Responsibilities include:
- Assisting in the collection and extraction of data from various sources.
- Performing data cleaning and pre-processing to ensure data accuracy and consistency.
- Conducting exploratory data analysis to identify trends, patterns, and anomalies.
- Supporting senior analysts in developing reports and visualizations to communicate findings.
- Learning and applying statistical methods and data modeling techniques.
- Collaborating with cross-functional teams to understand data needs and provide analytical support.
- Participating in team meetings and contributing to data-driven discussions.
- Documenting data sources, methodologies, and findings.
- Gaining proficiency in data analysis tools such as SQL, Python (Pandas, NumPy), and R.
- Assisting in the development of dashboards and performance metrics.
- Researching and staying updated on new data analytics tools and techniques.
- Contributing to a data-informed culture within the organization.
The ideal candidate will have completed a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline. While prior professional experience is not required, internships or academic projects involving data analysis are a plus. A strong understanding of statistical concepts and analytical thinking is necessary. Proficiency in Microsoft Excel is expected, and familiarity with SQL and a programming language like Python or R is highly advantageous. Excellent problem-solving abilities, attention to detail, and strong communication skills are required. Eagerness to learn and a passion for uncovering insights from data are paramount. This internship provides a fantastic foundation for a career in data analytics.
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Sr Team Manager Credit Data Analytics
Posted 2 days ago
Job Viewed
Job Description
**Job Family Group:**
Finance
**Worker Type:**
Regular
**Posting Start Date:**
October 3, 2025
**Business unit:**
Finance
**Experience Level:**
Experienced Professionals
**Job Description:**
**Senior Team Manager- Credit Risk Data Analytics**
It is recognized that the size and complexity of Shell Trading & Supply (T&S) has increased substantially over the past few years and the expectations around risk management from a regulatory perspective have also shifted for Energy Trading. As a result, and also recognising the potential to unlock additional value from enhanced risk management of our trading activities, a strategic decision has been made to make a major investment over the next 3-4 years to strengthen the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence.
The **Credit Data Analytics** team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting.
This role relates to Trading & Supply division (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally.
**Principal Accountabilities:**
+ The candidate will be responsible to lead and manage a high performing team that supports the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise.
+ Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis.
+ **Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations.**
+ Ensure reporting and analytical tools have clear and appropriate documentation and controls.
+ Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics - e.g. Spotfire, Power BI and/or other visualisation tools.
+ Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools.
+ Train users on how to conduct analysis in tools developed and supported by Risk.
+ Provide support and direction to Risk colleagues.
+ Collaborate with and support Commercial / Credit / Market Risk / Valuation teams with production reporting, transformation projects and other ad-hoc requests.
**Technical/Experience Requirements for the role:**
+ 2-5 yrs of team management will be required for this role and a min. of 8 years of professional experience on the following requirements below:
+ Commodities Trading Risk Management
+ **Credit Risk Managment-** Strong knowledge of Credit Risk fundamentals required and a desire to develop knowledge in other risk areas, such as Market or Operational Risk, preferred.
+ Credit Risk concepts - ECL (Expected credit loss), Net Credit Exposure, PFE (Potential Future Exposure), Credit Reserves
+ Technical Skills - SQL Server, BI tools like PBI or Tableau
+ **Experience with advanced Excel, SQL, Alteryx and/or database knowledge desirable.**
+ Experience in data visualisation - Power BI, Spotfire, QlikSense or other, preferred.
+ Finance or Mathematics Degree preferred
+ CFA or GARP certificates preferred
+ Prior risk experience within **commodity markets** , such as LNG, Oil, Gas, Power and/or Carbon preferred.
+ **Exposure to the types of conceptual, quantitative and data challenges faced in a complex trading environment with multiple ETRM's and sources of data is preferred.**
+ Excellent attention to detail, methodical, organized and able to plan to meet deadlines.
+ Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines
+ Self-starter, highly motivated, outcome driven.
+ Good judgement to provide advice, question discrepancies, escalate issues.
+ Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data.
+ Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.
**An Innovative place to work**
There's never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.
Our business has been built on a foundation of innovative technology and skilled employees. By providing energy to sustain people's lives for more than a hundred years, Shell has become one of the world's leading companies.
Join us and you'll be adding your talent and imagination to a business with the ambition to shape the future. At Shell, everyone does their part.
**An Inclusive place to work**
Shell is working to become one of the most diverse, equitable, and inclusive organizations in the world. We are taking steps to create an environment where everyone - from our employees, to our customers, partners, and suppliers - feels valued, respected, and has a strong sense of belonging.
To achieve this, we must ensure all people are treated fairly, irrespective of their race, color, religion, age, gender, sexual orientation, gender identity, marital status, disability, ethnic origin, nationality, or other status.
To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment - one where you can express your ideas, extend your skills, and reach your potential.
We're closing the gender gap - whether that's through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
We're striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.
**A rewarding place to work**
Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.
We're huge advocates for career development. We'll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.
-
**DISCLAIMER:**
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.
**Set Up Your Job Alerts ( can be a part of the future of energy. Together at Shell, we are transitioning to become a net-zero emissions business while providing the energy that people around the world need today. Working with experienced colleagues , you'll have the opportunity to develop your skills, in an environment where we value honesty, integrity and respect for one another. At Shell, you progress as we tackle the energy challenge together.
#PowerYourProgress
Visit our careers site ( has a bold goal: to become one of the world's most diverse and inclusive companies, a place where everyone - from our employees to our customers, partners and suppliers - feels valued, respected, and has a strong sense of belonging.
Find out more about DE&I at Shell ( is a global group of energy and petrochemical companies, employing 96,000 people across more than 70 countries.
Whether they work on our platforms and pipelines, or in our offices and research labs, people are key to our success. They collectively determine our culture and we expect them to behave according to our values: honesty, integrity, and respect for people.
Learn more about our purpose and strategy ( **_If you need any assistance or support while applying for a job, please contact us at_** ** ** _"_
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Graduate Data Scientist - Big Data Analytics
Posted 2 days ago
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Job Description
Key Responsibilities:
- Collect, clean, and transform large datasets from various sources.
- Perform exploratory data analysis to identify patterns, anomalies, and insights.
- Develop and implement statistical models and machine learning algorithms for predictive analytics.
- Visualize data and present findings in a clear and concise manner to stakeholders.
- Collaborate with cross-functional teams to understand data needs and deliver actionable recommendations.
- Assist in the design and execution of A/B tests and other experiments.
- Utilize big data technologies and tools (e.g., Hadoop, Spark) for data processing and analysis.
- Contribute to the development of data pipelines and reporting dashboards.
- Stay updated with the latest trends and techniques in data science and analytics.
- Ensure data quality and integrity throughout the analysis process.
Qualifications:
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundation in statistical modeling, probability, and quantitative analysis.
- Proficiency in programming languages like Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Familiarity with SQL for database querying.
- Exposure to big data technologies and cloud platforms is a plus.
- Excellent problem-solving abilities and attention to detail.
- Strong communication skills, both written and verbal.
- Ability to work independently and as part of a team.
- A keen interest in uncovering insights from data and driving business decisions.
This is an excellent opportunity to build a career in data science within a leading organization located in **Bengaluru, Karnataka, IN**. We are seeking individuals who are analytical, curious, and eager to learn.
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Lead Data Analytics (Python / R, PowerBI),
Posted 1 day ago
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Job Description
Role & Responsibilities
About the Role:
Data Analytics Engineer is an Individual Contributor role who provides actionable insights to multiple stakeholders ( both internal and external ) & will be part of the centralized data team in Freight Tiger and owns both the compute & publish layer for all the products of FT.
Key Responsibilities -
Data Analysis and Insights:
Analyze complex datasets to extract meaningful insights and identify trends, patterns, and opportunities.
Collaborate with business stakeholders to define and refine data requirements.
Provide actionable recommendations to support decision-making processes.
Reporting & Visualization:
Design, develop, and maintain interactive and insightful dashboards and reports in Power BI.
Leverage Power BI features like DAX, Power Query, and advanced charting to create visually compelling and user-friendly reports.
Ensure reports and dashboards are optimized for performance and scalability.
Manage reporting layer (PowerBI), dashboards deployment and version control.
Stakeholder Collaboration:
Partner with cross-functional teams to gather and document reporting requirements.
Communicate findings and insights effectively to both technical and non-technical audiences.
Act as a liaison between business users and technical teams to ensure alignment.
Data Governance and Quality:
Maintain data accuracy, consistency, and integrity in all reporting solutions.
Advocate for best practices in data visualization, analytics, and governance.
Ensure compliance with organizational and regulatory data policies.
Leadership and Mentoring:
Lead and mentor junior analysts to develop their skills in data analytics and visualization.
Promote a culture of data-driven decision-making across the organization.
Tool and Technology Expertise:
Stay updated with the latest advancements in Power BI and other analytics tools.
Evaluate and implement new BI tools and methodologies to enhance reporting capabilities.
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Trainee Intern Data Science
Posted 24 days ago
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Job Description
Company Overview – WhatJobs Ltd
WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.
Position: Data Science Trainee/Intern
Location: Commercial Street
Duration: 3 Months
Type: Internship/Traineeship (with potential for full-time opportunities)
Role Overview
We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.
Key Responsibilities
- Collect, clean, and analyze datasets to derive meaningful insights.
- Assist in building and evaluating machine learning models.
- Work with visualization tools to present analytical results.
- Support the team in developing data pipelines and automation scripts.
- Research new tools, techniques, and best practices in data science.
Requirements
- Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
- Understanding of statistics, probability, and data analysis techniques.
- Familiarity with machine learning concepts.
- Knowledge of Google Data Studio and BigQuery for reporting and data management.
- Strong analytical skills and eagerness to learn.
- Good communication and teamwork abilities.
What We Offer
- Hands-on experience with real-world data science projects.
- Guidance and mentorship from experienced data professionals.
- Opportunity to work with a global technology platform.
- Certificate of completion and potential for full-time role.
Company Details
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Analyst - Data Science
Posted today
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Job Description
+ **Job Title:** Analyst Data Science **About** **us** : With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.Join us to create a career worth celebrating. **About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. **About the role** **: Experience / skills required:**
+ 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
+ Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
+ Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
+ Strong language coding skills required in Python/pyspark.
+ Knowledge & experience in SQL database & MLOps.
+ Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
+ Good to have skills in Natural Language Processing, Big Data Analytics, etc.
+ Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
+ Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
+ Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results
+ **Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.Feel inspired? Then this may be the opportunity for you. _If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
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