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

Nominate & Attend

Data Analyst

Leeds
5 days ago
Create job alert

Data Analyst ** (Contract)

Duration: 6 Months (Possibility for extension)

Location: Leeds/Hybrid (2 days on site)

Rate: A highly competitive Umbrella Day Rate or Salary is available for suitable candidates

Role Overview

As a Data Analyst, you will play a pivotal role in interpreting complex data to produce high-quality information, analysis, and research. Collaborating with teams across Modern Workplace and the wider bank, you'll leverage data and customer research to enhance our products and services, ensuring they are accessible and impactful.

Key Responsibilities:

Perform standard data management tasks using established procedures to support team initiatives.
Conduct data deep dives, extracting insights from both structured and unstructured data sources to inform recommendations.
Review, interpret, and challenge data to identify key drivers, risks, and opportunities.
Collaborate with various feature teams to build comprehensive data sets that address key commercial questions.
Produce high-quality reports, dashboards, and visualisations that facilitate informed decision-making.
Ensure data accuracy, integrity, and security across all analyses and reports.

Skills & Experience:

You possess a curiosity for research and design, with a desire to make a meaningful difference for colleagues.
Your passion for data and storytelling drives you to solve problems innovatively through analytical insights.
You excel in communication, effectively influencing both technical and non-technical audiences while crafting intuitive visuals to convey your findings.
You bring creativity and imagination to the table, consistently seeking innovative and agile approaches to challenges.
Proficiency in low-code PowerBI and/or Tableau.
Strong data visualisation skills, with the ability to tailor communication methods to suit your audience.
Experience in coding with SQL and other scripting languages, such as Python.
A track record of seeking out new data sources and employing innovative techniques to manipulate data effectively.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment

Related Jobs

View all jobs

Data Analyst

Data Analyst

Business Analyst and PMO - Banking, Investment, Financial, Trading

Senior Data Analyst

Business Intelligence Consultant

Data Analytics Governance Analyst Banking

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.

LinkedIn Profile Checklist for Data Engineering Jobs: 10 Tweaks to Maximise Recruiter Visibility

As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.

Part-Time Study Routes That Lead to Data Engineering Jobs: Evening Courses, Bootcamps & Online Masters

Data engineering is at the heart of modern digital transformation. From building scalable ETL pipelines in finance to designing real-time analytics platforms in e‑commerce, organisations across the UK are investing heavily in data infrastructure. As a result, demand for skilled data engineers—professionals who can ingest, process, store and serve vast volumes of data—is soaring. Yet many aspiring engineers cannot pause their careers to study full time. Thankfully, an extensive range of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master's Programmes—allows you to learn data engineering while working. This in-depth guide covers every route: foundational modules and short courses, hands‑on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re a database administrator, software developer or business analyst aiming to pivot into data engineering, this article will help you map out a tailored path to build in-demand skills without interrupting your professional or personal life.

The Ultimate Assessment-Centre Survival Guide for Data Engineering Jobs in the UK

Assessment centres for data engineering positions in the UK rigorously test your ability to design, build and optimise data pipelines under real-world conditions. Employers use a blend of technical challenges, psychometric assessments, group exercises and interviews to see how you handle data architecture, collaboration and problem-solving at scale. Whether you’re focusing on batch processing, stream engineering or data warehousing, this guide will lead you through every stage with actionable strategies to stand out.