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Graduate data analyst

Nexus
Data analyst
Posted: 10 July
Offer description

Nexus IT is a specialized recruitment agency connecting top talent with leading IT firms across the UK. We're currently hiring a Graduate Data Analyst on behalf of a forward-thinking technology consulting company.

This full-time role is ideal for recent graduates or aspiring professionals seeking to establish a career in data analysis.

The successful candidate will join a dynamic analytics team and work on meaningful, real-world projects, gaining hands-on experience under the guidance of seasoned data analysts and consultants.

Please note: Onboarding will be conducted in person at our client’s London office.

Key Responsibilities

As a Graduate Data Analyst, your role will involve supporting data-driven initiatives for both internal and external stakeholders. Core responsibilities include:

* Assisting with data gathering, research activities, and preliminary analysis
* Contributing to the development and maintenance of data pipelines and workflows
* Creating and updating visual dashboards using Power BI
* Writing and optimizing SQL queries for data extraction and analysis
* Presenting findings and insights in an accessible manner for both technical and non-technical audiences
* Documenting data processes, methodologies, and best practices
* Participating in team meetings and collaborative problem-solving sessions
* Continuously enhancing technical skills through real-time project exposure and mentorship

Candidate Profile

We are seeking a motivated and analytical individual who is eager to learn and contribute. The ideal candidate will possess:

* A degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related field
* Proficiency in Microsoft Excel for data manipulation and organization
* Basic understanding of SQL, or a strong interest in developing SQL skills
* Familiarity with data visualization tools such as Power BI or Tableau (preferred, not required)
* Excellent attention to detail and a problem-solving mindset
* Strong communication skills, with the ability to convey insights clearly
* A positive, proactive attitude and a willingness to learn and grow within the role

What You’ll Gain

This opportunity offers a structured pathway into the field of data analytics, with a range of benefits including:

* Competitive salary package of £28,000 – £35,000
* Remote working arrangement, with optional hybrid access for London-based candidates
* Performance-based bonuses
* Reimbursement of professional membership fees
* 28 days of paid annual leave, in addition to UK public holidays
* Enhanced pension scheme
* Paid leave entitlements for UK Armed Forces Reservists
* Access to a 24/7 Employee Assistance Programme, including GP access, mental health support, and wellness services

Our Hiring Process

We aim to make the hiring journey clear, collaborative, and centered around you. The process includes the following key stages:

* Introductory Chat – A casual conversation to understand your interest in the role and share initial insights.
* HR Interview – A deeper dive into your experience, career goals, and how well you align with the client’s team culture.
* Technical Assessment – A hands-on task designed to assess your data analysis skills and problem-solving abilities.

Throughout each step, we encourage open dialogue—feel free to ask questions to ensure the opportunity aligns with your expectations and goals.

Diversity & Inclusion Statement

Our client is committed to fostering an inclusive and equitable workplace. Applications are welcomed from candidates of all backgrounds, and reasonable adjustments can be made throughout the recruitment process.

The organization actively promotes:

* A collaborative and respectful working culture
* Mental health awareness and employee wellbeing
* Equal access to development and advancement opportunities

Applicants must have the legal right to work in the United Kingdom. Unfortunately, our client is unable to sponsor visas for this role at this time.


Seniority level

* Seniority level

Internship


Employment type

* Employment type

Part-time


Job function

* Job function

Information Technology
* Industries

IT Services and IT Consulting

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