Application deadline: 14 November, 2025
Job Description:
Title: Graduate Analytics Consultant
Department: Delivery and Services
Grade: 2
Salary: £35,000-£37,500
Location: London & Hybrid*
Hours: 40 per week
Line Manager: Consulting Services Manager
Members of the Delivery team will be required to travel to client site, based on business need.
About Us
Vizify design and build smart solutions for modern decision makers. Our data experts combine consulting, analytics and technology to provide high-impact analytical solutions underpinned by the power of cloud computing and market leading platforms.
The Vizify Services team bring expertise in data management, data visualisation, data science and enablement. The result? Solutions that are crafted to deliver genuine business insight, enabling you to focus on what matters most: making good decisions using data our clients can trust.
Vizify are proud creators of Unify, a custom application which has been designed to drive adoption of data-based solutions. Unify provides a solid framework for enterprise grade solution delivery – whilst providing an easy to use, beautiful interface. We integrate the world’s best technology in Unify, allowing organisations of any size to make the most out of their investments.
Our projects follow a structured five-stage delivery process — Discovery, Design, Development, Deployment, and Documentation — ensuring we deliver robust, scalable, and well-documented data solutions that drive measurable results.
Vizify partners with the world’s leading technology companies, including Snowflake, Microsoft (Azure and PowerBI), Tableau (Salesforce) and Alteryx.
Job Summary
As a Graduate Analytics Consultant, you’ll join our growing delivery team and play a key role in delivering client projects across the full data lifecycle. You’ll work alongside experienced consultants to design and build modern data solutions — from engineering robust data pipelines, to crafting insightful dashboards, to developing data applications that bring insights to life.
This is a hands-on role where you’ll gain exposure to real-world data challenges while learning the best practices in analytics consulting, data engineering, and client delivery.
Key Responsibilities
Weighting of responsibilities against our performance pillars are as follows:
Delivery: 70% | Firm Building: 10% | Development: 20%
Project Delivery:
- Contribute to client projects across all five stages: Discovery, Design, Development, Deployment, and Documentation.
- Assist in gathering and understanding business requirements to translate them into data solutions.
- Perform data extraction, cleaning, transformation, and analysis using SQL, Python, and cloud-based tools.
- Build and maintain data pipelines and data models to support analytics and reporting needs.
- Design and deliver insightful dashboards and reports using Tableau or Power BI, ensuring they are visually clear and actionable.
- Support the testing, deployment, and documentation of data solutions to ensure quality and repeatability.
- Collaborate with clients and internal stakeholders to present insights and recommendations clearly and confidently.
- Follow internal project management and quality assurance processes to ensure timely and high-standard delivery.
Firm Building:
- Contribute to the development of internal tools, templates, and best practices to improve project delivery efficiency.
- Participate in knowledge-sharing sessions, lunch & learns, and internal training activities.
- Support the creation of case studies, thought leadership, and IP development based on project learnings.
- Contribute to recruitment, onboarding, and community initiatives that strengthen the firm’s culture.
- Engage in continuous improvement projects, suggesting new technologies or processes that enhance how the firm operates.
- Represent the company at events, meetups, or conferences to build the firm’s reputation and network.
Personal & Professional Development:
- Take ownership of your learning and development, building both technical and consulting skills.
- Proactively seek feedback and mentoring from senior consultants and managers.
- Develop proficiency in the firm’s preferred tools and platforms, including Tableau, Power BI, Snowflake, Azure SQL, Python, Streamlit, and Azure Cloud.
- Work towards certifications or learning paths relevant to data analytics, engineering, or cloud technologies.
- Stay informed about emerging trends in data, AI, and analytics to bring innovative ideas to projects.
- Demonstrate curiosity, critical thinking, and a growth mindset in everything you do.
Preferred Skills and Experience
- A degree in a relevant field such as Data Science, Computer Science, Mathematics, Engineering, or Economics.
- Strong analytical and problem-solving skills, with attention to detail.
- Basic understanding of SQL and Python for data analysis and transformation.
- Familiarity with data visualisation tools such as Tableau or Power BI.
- Interest in data engineering and cloud platforms, ideally Azure and Snowflake.
- Curiosity about data applications and modern frameworks like Streamlit.
- Excellent communication skills and an ability to explain technical ideas to non-technical audiences.
- A proactive and collaborative approach to working in project teams.
How to Apply
To apply for this role, please send your CV and cover letter directly to careers@vizify.co.uk, with the subject line “Graduate Analytics Consultant – April 2026 Intake” before 14 November, 2025.
Application Process
Our recruitment process begins once the application deadline has passed. We carefully review all applications and invite shortlisted candidates to take part in several stages designed to help us get to know you — and for you to get to know us. The process includes a screening interview, a first-round interview with the relevant team, a skills assessment, and a final-round presentation and meet-and-greet with the wider team. You’ll only be invited to the next stage if you’re successful in the previous one, and we’ll keep you updated at every step. We aim to issue job offers around three months before the advertised start date, giving you plenty of time to prepare for joining our graduate programme.
