National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Leap29
cheshire, gb
1 day ago
Create job alert

body {font: normal 400 13px/16px 'Open Sans', Roboto, sans-serif;color:#333;margin:10px;}p,span,div,b,i,u{ line-height: 120%; font-family: 'Open Sans',Roboto,sans-serif; }

Job Title:Data Analyst / Database Administrator (MS SQL)
Location:Cheshire
Sector:Finance

About the Role:
We’re looking for a talented Data Analyst/Database Administrator (MS SQL) with experience in the finance sector, preferably within large institutions. This is a hands-on role where you’ll work with complex SQL queries to provide critical business insights and support data-driven decision-making.

Key Responsibilities:

Manage and maintain the MS SQL databases ensuring optimal performance and security.


Write, optimize, and execute complex SQL queries to extract, analyze, and deliver required business information.
Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
Support database performance tuning, monitoring, and troubleshooting.
Ensure the accuracy and integrity of data through regular audits and checks.

Requirements:

Proven experience as a Data Analyst/Database Administrator working with MS SQL.


Strong knowledge of SQL query optimization, database management, and performance tuning.
Experience in the finance sector, with a preference for candidates with exposure to large institutions.
Excellent analytical and problem-solving skills, with a keen eye for detail.
Ability to work independently and collaboratively in a fast-paced environment.

Why Join Us?
Be a part of a dynamic team where your SQL expertise will directly impact business outcomes. If you enjoy working with complex data in a high-demand environment, this is the perfect opportunity for you!

Apply today with your updated CV through the website!

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.