Job Details

Graduate Data Consultant

About

Description

We're a high-growth data analytics consultancy on a mission to help enterprise businesses unlock the full potential of their data. With offices in the UK, India, and South Africa, we specialise in cutting-edge cloud analytics solutions, transforming complex data challenges into actionable business insights. We partner with some of the biggest brands worldwide to modernise their data platforms, enabling smarter decision-making through Snowflake, Databricks, Matillion, and other cloud technologies. Our approach is customer-first, innovation-driven, and results-focused, delivering impactful solutions with speed and precision. At Snap, we’re not just consultants—we’re problem-solvers, engineers, and strategists who thrive on tackling complex data challenges. Our culture is built on collaboration, continuous learning, and pushing boundaries, ensuring our people grow just as fast as our business. Join us and be part of a team that’s shaping the future of data analytics!

Responsibilities

Learning new technologies and concepts as directed by the Delivery Lead
Creating demo content and proof of concepts (PoCs) for client engagements based on briefs provided
Building internal systems and capabilities, such as reporting tools, according to given specifications Working on client-facing, billable projects for Snap Analytics
Promptly addressing any challenges or issues with the Development Lead Documenting new technologies for training and knowledge-sharing with team members
Contributing to the overall team success by taking on additional tasks when needed

Qualifications

2:1 university degree or higher (predicted or achieved)
Genuine interest in data and analytics, with a strong desire to learn more about cloud technologies
Demonstrable technical skills or a strong aptitude and willingness to learn A clear sense of ownership and accountability
Observant, insightful and eager to contribute
Excellent communication skills Motivated, ambitious, and able to thrive in a fast-paced environment
Desired Technical Skills - exposure to the below is useful but not compulsory Exposure to Python or other programming languages
Experience with data integration tools Familiarity with data modelling and database concepts
Understanding of data warehousing Knowledge of data visualisation techniques and tools
Interest in data science and machine learning