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Graduate Data Analyst

Pimlico Enterprises
Bristol
2 months ago
Applications closed

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Job Title:Graduate Data Analyst

Location:Remote (United Kingdom)

Salary:£30,000 – £35,000 per annum


Overview

On behalf of our client, a respected organization in the business consulting and services sector, we are pleased to announce an exciting opportunity for aGraduate Data Analyst. 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 £30,000 – £35,000
  • 38-hour work week
  • 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


Hiring Process

The selection process is designed to be transparent and candidate-focused. It includes the following stages:

  1. Initial Conversation– An informal discussion to explore your interest in the role
  2. HR Interview– A comprehensive review of your background, motivations, and fit within the client’s team culture
  3. Technical Assessment– A practical evaluation of your analytical and data handling capabilities

Candidates are encouraged to ask questions at each stage to ensure mutual alignment.


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


Important Note

Applicantsmust have the legal right to work in the United Kingdom. Unfortunately, our client isunable to sponsor visasfor this role at this time.


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