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Data Analyst Jobs

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

Open roles
46
Salary range
£25k – £250k
Hiring companies
39
View 46 live roles → Get an alert

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

£25k – £250k

Based on advertised midpoints across the 94 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
25
50
7 jobs
Junior
25
40
4 jobs
Mid
26
90
55 jobs
Senior
40
90
15 jobs
Lead
50
80
4 jobs
Director
100
250
1 job
Skills & tools

What hiring managers ask for

% of 116 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

SQL
64%
Power BI
62%
Data Analysis
41%
Python
29%
Excel
29%
Data Governance
24%
Reporting
15%
Stakeholder Engagement
14%
Data Pipelines
13%
Data Quality
13%
Azure
12%
Data Transformation
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

46 live roles

See all 46 roles →

Worldwide Specialist Solutions Architect - Analytics, Messaging Services, Data & AI GTM

This role involves guiding EMEA customers in designing and implementing event-driven, messaging-based architectures on AWS. The specialist will focus on modernizing legacy systems by migrating to managed services like Amazon SNS, SQS, and MQ, while advising on best practices for scalability, reliability, and cost-efficiency. The position emphasizes deep technical engagement, thought leadership, and collaboration with product teams to shape future messaging solutions.

Amazon Talent Acquisition Sw1A2Dx, SW1A 2DX, United Kingdom
Hybrid Permanent
See all 46 roles →
Top hirers

Companies hiring data analysts

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Hiring locations

Where this role is hiring

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

London

Location
14 open

Birmingham

Location
3 open

Edinburgh

Location
1 open

Leicester

Location
1 open
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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