At a Glance
- Tasks: Support client projects and develop internal capabilities in data analytics.
- Company: Snap Analytics, a high-growth data consultancy transforming data into insights.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Why this job: Join a passionate team and make a real impact with data-driven solutions.
- Qualifications: Bachelor's degree in STEM and a keen interest in data and analytics.
- Other info: Collaborative culture focused on continuous learning and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: Bristol, UK (Hybrid)
Start Date: 6th April 2026
Employment type: Full-time
Seniority level: Entry level
Job function: Information Technology and Consulting
Industry: Information Technology & Services, IT Services and IT Consulting
Salary: ÂŁ49,500.00-ÂŁ65,000.00 (based on skills and experience)
Why this role exists
As demand for dataâdriven decisionâmaking continues to grow, so does the need for expert guidance in turning raw data into actionable insights. At Snap Analytics, we partner with enterprise businesses worldwide to modernise their data platforms and unlock the full potential of their data.
We're looking for Graduate Data Consultants who can bridge the gap between technical analysis and strategic impact. This role is central to helping our clients solve complex business problems through data, whether thatâs building dashboards, designing data models, or advising on analytics strategy.
Youâll be joining a collaborative, curious, and clientâfocused team thatâs passionate about making data meaningful. If you enjoy learning new technologies, experimenting with tools, and helping organisations make smarter decisions, this could be a great fit.
What youâll be doing
As a Graduate Data Consultant, youâll play a central role in supporting client projects and developing internal capabilities. Youâll work closely with delivery leads and team members to deliver meaningful outcomes.
Your responsibilities will include:
- Exploring and learning new technologies and concepts with guidance from your Delivery Lead
- Creating demo content and proof of concepts (PoCs) for client engagements
- Building internal tools and systems, such as reporting solutions, based on defined specifications
- Supporting Snapâs client projects by contributing to highâquality, billable deliverables
- Documenting new technologies and sharing knowledge across the team
- Getting involved in wider business activities where needed, including finance, marketing, and sales support
In your first 3â6 months, success might look like:
- Gaining handsâon experience with cloud analytics tools like Snowflake, Databricks, and Matillion
- Delivering your first PoC or internal tool that adds measurable value
- Building strong relationships within the team and contributing to collaborative problemâsolving
What youâll need to succeed
- A bachelorâs degree in a STEM related subject (predicted or achieved)
- A genuine interest in data, analytics, and cloud technologies
- Technical aptitude or demonstrable skills, with a willingness to learn and grow
- A proactive mindset with a strong sense of ownership and accountability
- Clear and confident communication skills
Bonus points if you have:
- Exposure to programming languages like Python and SQL
- Familiarity with data integration tools
- Understanding of data modelling and databases
- Awareness of data warehousing concepts
- Experience with data visualisation tools and techniques
This role might not be the right fit if youâre looking for:
- A highly specialised role focused on one technology or domain
- A rigid environment with little room for experimentation or growth
A bit about Snap Analytics
Weâre a highâgrowth 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 cuttingâedge 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 decisionâmaking through Snowflake, Databricks, Matillion, and other cloud technologies. Our approach is customerâfirst, innovationâdriven, and resultsâfocused, delivering impactful solutions with speed and precision.
At Snap, weâre not just consultants... weâre problemâsolvers, 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 thatâs shaping the future of data analytics!
Graduate Data Consultant employer: Snap Analytics
Contact Detail:
Snap Analytics Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Graduate Data Consultant
â¨Tip Number 1
Get to know the company inside out! Research Snap Analytics, their projects, and their culture. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
â¨Tip Number 2
Practice your communication skills! As a Graduate Data Consultant, you'll need to explain complex data concepts clearly. Try explaining your past projects to friends or family to get comfortable with your storytelling.
â¨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insights into the role and might even lead to a referral!
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining Snap Analytics!
We think you need these skills to ace Graduate Data Consultant
Some tips for your application đŤĄ
Show Us Your Impact: When you're putting together your application, make sure to include clear examples of your work and the impact it had. We want to see how you've made a difference in previous roles or projects, so donât hold back!
Align Your Experience: Tailor your application to highlight relevant experience that aligns with the role's focus. If you've worked with data, analytics, or cloud technologies, let us know how that experience makes you a great fit for the Graduate Data Consultant position.
Thoughtful Responses Matter: Take your time with any application questions. A thoughtful response shows us that youâre genuinely interested in the role and have put in the effort to understand what we do at Snap Analytics.
Craft a Compelling Resume: Your resume should not only list what you did but also explain why it mattered. Highlight your achievements and how they relate to the skills we're looking for. And remember, apply through our website for the best chance!
How to prepare for a job interview at Snap Analytics
â¨Know Your Data
Make sure you brush up on your knowledge of data analytics and cloud technologies. Be ready to discuss any relevant projects or experiences you've had, especially those involving tools like Snowflake or Databricks. This will show your genuine interest in the field and your technical aptitude.
â¨Showcase Your Problem-Solving Skills
Prepare specific examples of how you've tackled complex problems in the past. Whether it was through a university project or an internship, highlight how you approached the challenge, the steps you took, and the impact of your solution. This aligns perfectly with what Snap Analytics is looking for in a Graduate Data Consultant.
â¨Ask Thoughtful Questions
Interviews are a two-way street! Prepare some insightful questions about Snap Analytics' approach to data challenges or their team culture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
â¨Communicate Clearly and Confidently
Practice articulating your thoughts clearly. Whether discussing your resume or answering technical questions, confident communication is key. Remember, they want to see how you can bridge the gap between technical analysis and strategic impact, so make sure your passion for data shines through!