Senior Pay Data Analyst

Evri
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Scientist


Were Hiring! Senior Pay Data Analyst!

Location: Morley/Hybrid

At Evri, our service providers are at the heart of everything we do. Making sure they are paid fairly, accurately and on time is essential to building trust and keeping our operations running smoothly.

As a Senior Pay Data Analyst, you'll play a vital role in delivering Evri's Fair Pay commitments. In this highly analytical role, you will use advanced SQL, Databricks and data modelling to ensure pay is accurate, compliant and fair!
Acting as a senior escalation point and subject matter expert, you will support complex pay modelling, system configuration and high-priority operational issues.
Working closely with finance, payroll, operations and technology teams, you will be translating complex data into clear, actionable insight for senior stakeholders.


This role suits an experienced analyst who thrives in a fast-paced, real-time operational environment and enjoys balancing deep technical work with business impact.

Interested? Take a look below to understand what you'll be doing as a Senior Pay Data Analyst:

  • Supporting fair, accurate and timely pay for our service providers, in line with Evri Fair Pay and National Living Wage requirements
  • Using SQL and reporting tools ...

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.

Jobs

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.

Careers

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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.