Data Analyst Jobs

Professionals who transform raw data into actionable insights. A critical role in driving data-driven decision-making across industries.

Open roles
44
Salary range
£28k – £81k
Hiring companies
36

Data Analysts are the backbone of data-driven organisations, transforming raw data into meaningful insights that inform strategic decisions. They work closely with stakeholders to understand business needs, clean and process data, and create visualisations and reports that communicate findings clearly. Data Analysts are in high demand across sectors, from finance and healthcare to retail and technology, making this a versatile and rewarding career path.

What the role does

Inside the role of a Data Analyst

A typical week for a Data Analyst is a mix of data cleaning, analysis, and reporting, with regular meetings to discuss insights and next steps.

  1. 01
    Gather and clean data from various sources.
  2. 02
    Perform exploratory data analysis to identify trends.
  3. 03
    Create visualisations and dashboards for stakeholders.
  4. 04
    Collaborate with cross-functional teams to understand data requirements.
  5. 05
    Present findings and recommendations in meetings.
  6. 06
    Document and maintain data processes and methodologies.
Salary on the board

£28k – £81k

Based on advertised midpoints across the 198 priced listings posted in the last 12 months. Base salary only.

Salary visibility
2% of listings advertise a salary — up from 0% the year before.
By seniority
£k base
Entry
25
55
14 jobs
Junior
25
38
6 jobs
Mid
30
65
77 jobs
Senior
41
90
30 jobs
Lead
54
87
8 jobs
Skills & tools

What hiring managers ask for

% of 144 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
69%
Power BI
66%
Data Analysis
46%
Excel
33%
Python
31%
Data Governance
23%
Stakeholder Engagement
15%
Data Quality
15%
Data Visualisation
15%
Reporting
14%
Data Modelling
13%
Tableau
12%
Career ladder

From Junior to Principal

A typical UK progression for data analysts. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Data Analyst

    0–2 yrs

    Assist in data collection and basic analysis, supporting senior team members with data preparation and visualisation tasks.

  2. Level 2

    Data Analyst

    2–5 yrs

    Own the end-to-end data analysis process, from data cleaning to reporting, and collaborate with stakeholders to provide actionable insights.

  3. Level 3

    Senior Data Analyst

    5–8 yrs

    Lead complex data projects, mentor junior analysts, and develop advanced analytical models to drive business decisions.

  4. Level 4

    Principal Data Analyst

    8+ yrs

    Strategise and oversee the data analytics function, ensuring alignment with organisational goals and leading innovation in data practices.

Pathway

How to become a Data Analyst

There's no single route, but most people follow some version of these steps.

  1. 1

    Learn the Fundamentals

    Start with a strong foundation in statistics, data manipulation, and visualisation tools. Gain experience through internships or entry-level roles.

  2. 2

    Build Practical Skills

    Work on real-world projects to develop your data analysis and problem-solving skills. Collaborate with cross-functional teams to understand business needs.

  3. 3

    Specialise in a Domain

    Choose a specific industry or domain, such as finance or healthcare, to deepen your expertise and become a go-to resource for complex data challenges.

  4. 4

    Lead and Mentor

    Take on leadership roles, guiding junior analysts and driving strategic data initiatives. Develop advanced analytical models and methodologies.

  5. 5

    Innovate and Influence

    Shape the future of data analytics within your organisation by leading innovation and influencing data-driven decision-making at the highest levels.

Live jobs

44 live roles

See all 44 roles

Data Analyst

This role involves extracting, cleaning, and analysing complex data from multiple sources to generate actionable insights and support business decisions. The analyst will design interactive dashboards, collaborate with stakeholders to understand data needs, and ensure data governance and compliance with regulations like GDPR. Strong skills in SQL, data visualisation tools, and communication are key to translating technical findings for non-technical audiences.

Hypercreate Ltd Broad Street, City And County Of the City Of London, United Kingdom £29,000 – £35,000 pa

Data Analyst

The role involves extracting, cleaning, and analysing complex data from multiple sources to generate actionable insights and support business decision-making. You will build and maintain interactive dashboards and reports using tools like Tableau or Power BI, while ensuring data accuracy and compliance with regulations such as GDPR. Close collaboration with stakeholders is required to understand analytical needs and deliver self-service tools that empower data-driven decisions across departments.

Hypercreate Ltd Brixton Hill, London, United Kingdom £29,000 – £35,000 pa

Data Analyst

You will manage and maintain data quality across multiple large datasets, primarily focusing on ERP systems. Your role involves ingesting new data, performing in-depth analysis, and providing actionable insights to support client decision-making. Collaboration with colleagues to solve complex problems and enhance network performance is also a key responsibility.

Robert Walters Warwick, United Kingdom £40,000 – £45,000 pa
Hybrid Permanent

Data Analyst

The role involves delivering routine and ad-hoc data analysis and reporting, focusing on commercial insights and process improvements. You'll work with stakeholders to meet business needs, ensure data accuracy, and support junior analysts. The position emphasizes Excel-based analysis, data governance, and collaboration within a hybrid working environment.

HealthTrust Europe Birmingham, United Kingdom

Data Analyst

This role involves leading the design and development of Power BI dashboards for key finance KPIs, building robust data models using DAX and Power Query, and translating complex financial data into actionable insights for senior stakeholders. The position is part of a finance team undergoing significant transformation, with a focus on modernizing systems and data infrastructure.

Harnham - Data and Analytics Recruitment London, United Kingdom £45,000 – £55,000 pa
On-site Permanent
Safran logo

Purchasing Data Analyst

The role involves improving data quality and generating performance insights for the Purchasing function using Power BI, ERP systems, and data governance practices. The analyst will develop dashboards, support digital transformation including AI and automation initiatives, and act as a Procure-to-Pay (P2P) subject matter expert. Collaboration with cross-functional stakeholders and system users is central to enhancing purchasing processes and reporting efficiency.

Safran Cwmbran, Gwent, United Kingdom

Trainee Data Analyst (Excel, SQL & Power BI)

This role involves a fully-funded training course in data analytics and business intelligence, covering data management, cleansing, analysis, visualization, and compliance. The course prepares learners for junior roles in data analysis, reporting, and business intelligence across various sectors.

Netcom Online Learning Sheffield, United Kingdom £25,000 – £35,000 pa
Remote Permanent Flexible

Senior Data Analyst

The role involves building and maintaining scalable data pipelines for AI/ML-driven user experience projects using Google Cloud Platform and tools like Airflow and Cloud Composer. The analyst will ensure data quality and system reliability through monitoring with Monte Carlo and Looker, while collaborating closely with product engineering and data science teams. A key focus is on data tracking, ingestion, and alerting across complex distributed systems.

EF Recruitment Victoria, Greater London, London, SW1P 1BX, United Kingdom £500 pd
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

FAQs

Common questions

  • Essential skills include proficiency in SQL, data manipulation, statistical analysis, and data visualisation tools like Tableau or Power BI.

  • Continuously develop your technical skills, gain industry-specific knowledge, and take on leadership roles to advance your career.

  • Data Analysts often work in office settings, collaborating closely with cross-functional teams. Some roles may offer remote or hybrid work options.

  • Salary ranges can vary widely based on experience, location, and industry. For more detailed information, refer to the salary section on this page.

Hiring data analysts?

Post your role in 90 seconds and reach the specialist audience that already reads this page.