Job Description :

Job Title: Manager - Data Analysis

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 dedicated 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.

Diageo is a global leader in premium drinks, with an outstanding collection of brands across spirits, beer, and wine categories. Our portfolio includes iconic brands such as Johnnie Walker, Smirnoff, Guinness, Captain Morgan, and Tanqueray, among many others. We are dedicated to celebrating life every day, everywhere, through our exceptional products, innovation, and commitment to responsible drinking. With a rich heritage and a passion for craftsmanship and quality, Diageo continues to inspire and delight consumers around the world.

Our ambition is to be one of the best performing, most trusted and respected consumer products company in the world. Being part of the Digital and Technology (D&T) team, you'll contribute to our vision and strategy, which is to create competitive advantage for Diageo, delivering insights and solutions with flawless quality and speed of execution.

Job Description:

We are seeking a motivated and thorough Data Analyst to join our DA&I team. In this role, you will help transform raw and curated data into relevant insights that support business decision-making across Diageo. You will work with a variety of datasets, apply analytical techniques, and communicate findings clearly to stakeholders.

This role is ideal for an analyst with strong foundational skills who is looking to deepen their experience, grow technically, and supply to high-value analytical work.

Responsibilities:

. Collect, clean, and transform datasets from multiple sources to support analytics and reporting.

. Develop, maintain, and enhance datasets, data systems, and simple data pipelines.

. Perform exploratory data analysis, identify trends, profile data and generate regular analytical outputs.

. Use statistical and analytical techniques to uncover patterns, opportunities, and issues.

. Build clear, compelling dashboards and visualizations to support decision-making.

. Work with cross-functional teams to understand their data needs and deliver fit-for-purpose solutions.

. Document data processes, logic, and analytical methodologies in a clear and structured way.

. Monitor data quality, flag issues, and contribute to continuous data quality improvements.

. Stay informed about emerging analytics practices, tools, and techniques.

. Support the evolution of DA&I capabilities, processes, and ways of working.

Skills and qualifications:

Must haves:

. Bachelor's degree in a quantitative discipline (e.g., Statistics,

Mathematics, Computer Science, Economics, Engineering, etc.).

. 5+ years of experience as a Data Analyst or in a similar analytical role

. Strong proficiency in SQL and Excel for data manipulation and analysis.

. Familiarity with Python or R for basic analysis or automation (not expertlevel).

. Experience building dashboards in Power BI or similar tools.

. Good understanding of relational databases and fundamental data warehousing concepts.

. Strong analytical and problem-solving skills with high attention to detail.

. Ability to communicate insights clearly to both technical and non-technical audiences.

. Strong organizational skills and ability to manage multiple tasks in a fast-paced environment.

. Proactive, curious, and eager to learn new skills and technologies.

. Good understanding of Agile methodologies (Scrum, SAFe) and collaboration tools (ADO, JIRA).

. Good interpersonal skills, with the ability to build effective working relationships.

. Experience with data management and/or product management. Nice to have:

. Innovative mindset, with the ability to identify efficiency opportunities or process improvements.

. Experience supporting stakeholders in prioritizing analytics needs.

. Exposure to mentoring or supporting peers (not formal leadership).

. Additional experience with Python for data analysis or automation.

. Master's degree in a relevant field (optional, not required).

. Experience or interest in data management, governance, or foundational data engineering concepts.

. Familiarity with industry tools such as Qlik, Databricks, Azure Data Factory, Alation, SAP, MDG, Stibo, etc

Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.

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.

Ourambitionistocreatethebestperforming,mosttrustedandrespectedconsumer 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.

Worker Type :

Regular

Primary Location:

Bangalore Karle Town SEZ

Additional Locations :

Job Posting Start Date :

2026-04-27

Manager - Data Analysis

CRM & Data Analysis Manager