Data Analyst Jobs

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

Open roles
43
Salary range
£28k – £81k
Hiring companies
41

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 218 UK listings priced in pounds 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
37
8 jobs
Mid
30
65
74 jobs
Senior
41
90
30 jobs
Lead
54
86
9 jobs
Director
70
118
6 jobs
Skills & tools

What hiring managers ask for

% of 139 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
69%
Power BI
65%
Data Analysis
45%
Excel
32%
Python
31%
Data Governance
22%
Stakeholder Engagement
14%
Reporting
14%
Data Quality
14%
Data Modelling
13%
Data Visualisation
13%
Stakeholder Management
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

43 live roles

See all 43 roles
Experis logo

Data Analyst

The role involves developing SQL databases, SSRS reports, and data models while maintaining ETL processes that feed into an established data warehouse. The analyst will create high-quality Power BI dashboards to translate business challenges into reliable data solutions and collaborate with cross-functional teams to enhance reporting capabilities and analytical maturity within a patient-focused healthcare organisation.

Experis Crawley, West Sussex, United Kingdom £30,000 – £35,000 pa
Experis logo

Data Analyst

The role involves developing Power BI dashboards and SSRS reports, building and maintaining SQL databases and data models, and supporting ETL processes for a data warehouse. The analyst will work closely with business teams to enhance reporting capabilities and drive data-driven decision-making within a patient-focused healthcare organisation. This position is part of a growing Business Intelligence team undergoing digital transformation.

Experis Stirling, Stirling And Falkirk, United Kingdom £30,000 – £35,000 pa

Data Analyst

This role involves managing and analysing environmental, geotechnical, and remediation datasets to support project teams with accurate data insights. The analyst will clean, validate, and quality-check data, maintain databases, and produce reports and visualisations. The position focuses on ensuring data integrity and supporting data governance within an environmental consultancy.

Penguin Recruitment Bristol, United Kingdom £28,000 – £32,000 pa
On-site Permanent

Data Analyst

Design and build Power BI reports and dashboards while developing and maintaining the underlying data pipelines using SQL and modern data platforms. Work closely with stakeholders across operations, finance, and HR to translate business needs into technical reporting solutions. Focus on improving data quality, governance, and scalability within a growing data environment.

Applause IT Recruitment Ltd United Kingdom £45,000 – £50,000 pa

Data Analyst

This role involves transforming complex data into actionable business insights using Power BI, SQL, and dbt, with a focus on customer, operational, and financial performance. You'll work across retail brands to build dashboards, investigate trends, and drive data-informed decisions in a hybrid setup. The position emphasizes ownership, stakeholder collaboration, and improving data quality and culture.

Truespeed Bath, Somerset, United Kingdom £35,000 – £40,000 pa

Data Analyst

Data AnalystShape the future of data in a business undergoing major cloud transformationAre you a data professional who loves turning complex data into powerful business insights? Do you want to be part of a large-scale cloud transformation programme where your...

Jackson Hogg Gateshead, Tyne & Wear, United Kingdom £35,000 – £40,000 pa

Data Analyst

This role involves working with large datasets, building and maintaining dashboards, and providing clear insights to help the business understand customer behavior and the impact of product changes. You'll also establish consistent KPIs and support product and commercial teams with ad-hoc analysis.

Cathcart Technology Manchester, United Kingdom £38,000 – £45,000 pa

Data Analyst

Data Analyst – Finance & OperationsCambridge | £40,000–£45,000 | Permanent, full time | Hybrid (up to half your time from home after probation)If you're a data analyst who gets a genuine kick out of turning messy numbers into a story...

Pure Resourcing Solutions Cb12Jh, United Kingdom £45,000 pa
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.

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