Data Analyst - Excel

Parkside
Mansion House, City and County of the City of London, EC2R 8BP, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Adria Solutions Derbyshire, United Kingdom
£40,000 – £50,000 pa

Data Analyst

ARM City of London, United Kingdom

Data Analyst

Carbon 60 United Kingdom

Data Analyst

Technical Prospects Ltd Dudley Hill, BD4 9LR, United Kingdom

Data Analyst / Data Engineer

The Digital Bench Ltd Australia
£65,000 – £90,000 pa

Data Analyst - Sc cleared

CBSbutler Holdings Limited trading as CBSbutler Reading, Berkshire, United Kingdom
£80 – £83 ph
Posted
3 Feb 2026 (3 months ago)

Our client is looking for a detail-focused individual with strong Excel skills to support our quality assurance processes and data validation efforts. The role involves ensuring data accuracy, performing quality checks, and supporting continuous improvement initiatives across projects.
  
This is initially a 3 month temporary position that may last longer.

 The role will start ASAP
 
Salary £15.50-£16.00ph DOE working 9.00-5.30 Monday to Friday, office based in Cannon Street EC4M

Key Responsibilities:

Use Microsoft Excel to analyse and validate data, ensuring accuracy and consistency.
Perform quality assurance checks on datasets and processes to identify errors or discrepancies.
Collaborate with teams to resolve data issues and improve data quality.
Maintain documentation of quality assurance procedures and findings.
Support process improvements by identifying areas where data integrity can be enhanced.
Assist in preparing data summaries or insights as needed to support decision-making.   
  
Required Skills and Qualifications:

Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data manipulation techniques.
Excellent attention to detail and analytical skills.
Experience with quality assurance or data validation processes.
Ability to identify data inconsistencies and troubleshoot issues effectively.
Good communication skills for working with cross-functional teams.
Ability to manage multiple tasks and prioritise work efficiently.   
  
Desirable Attributes:
Familiarity with other data tools or quality frameworks is a plus.
Proactive approach to problem-solving and continuous improvement

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.