Revolut Work from Home Jobs; Hiring Data Analyst – Apply Now

Remote Data Analyst Job Openings in India 2026!!!

Revolut announced job vacancy for the post of Data Analyst (Engineer). The place of posting will be at Remote (Work from Home). Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Revolut
Required Qualifications	Graduate
Skills	Python, SQL, or other programming languages
Category	Data Analysis
Work Type	Remote

Their Data Analyst team solves complex problems with smart, practical solutions. Data Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. They’re looking for a Data Analyst who can dig into their complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them. This is an opportunity to apply your skills while picking up new ones and delivering value for millions of customers around the world.

Job Details

Θ Positions: Data Analyst (Engineer)

Θ Job Location: Remote (Work from Home)

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: NA

Roles and Responsibilities:

• Understanding our business and its processes through data
• Applying this knowledge of data to help Product and Support teams
• Developing documentation and data governance
• Owning the entire ETL process
• Designing key metrics to measure different aspects of the business
• Creating and maintaining new aggregated views and tables to simplify data querying
• Providing clean data sets, modelling data in a way that empowers end users to answer their own questions

Required Skills & Qualifications:

• 2+ years of experience in an analytical role, creating impactful data-driven solutions
• A solid background/education in a quantitative discipline
• Great skills with Python, SQL, or other programming languages
• Evidence of exceptional mathematical and statistics knowledge
• Experience in banking, fintech, or financial services

How to Apply

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Disclaimer:

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