Senior Analyst & Data Specialist

CV-Library
Liverpool, Merseyside
13 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer

Hays Technology London, United Kingdom
£310 pd Hybrid Clearance Required

Senior Data Engineer

Hays Technology Abingdon, OX14 5BH, United Kingdom

Test Engineer (SFIA 4) SC / Newcastle #0023

Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£59,000 pa Hybrid Clearance Required

Test Engineer

Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£1 pa Hybrid Clearance Required

Senior Data Engineer

RSM London, United Kingdom
On-site
Posted
11 Apr 2025 (13 months ago)

Senior Analyst & Data Specialist

Location: Liverpool

Working style: Hybrid

About the Role:

In this role, the successful candidate will play a key part in supporting data projects, providing expertise in database development, data security, and documentation. Working closely with the wider data project team, you will help implement a new core platform and support the Finance Domain's reporting requirements. You will interpret raw data, transforming it into actionable insights for senior stakeholders. This role involves daily collaboration with the Data Architect, Head of Data and Analytics, and the Director of Finance, Risk, and Compliance.

Key Responsibilities:

Perform advanced data analysis on large datasets to extract actionable insights.
Identify/interpret trends, patterns and correlations to support strategic and operational decision-making.
Conduct detailed analyses across the business, producing clear, informative outputs and making recommendations that influence key business decisions.
Create clear and concise visualisation's to communicate data insights to both technical and non-technical stakeholders.
Automate reporting processes to enhance efficiency and accuracy.
Collaborate with product, marketing, finance, and operations teams to identify data-driven business opportunities.
Translate business requirements into technical specifications for data extraction and analysis.
Develop methods to ensure data integrity, accuracy, and consistency.
Establish and promote best practices for data management, storage, and security.
Work with IT and Data Engineering teams to optimise data pipelines and infrastructure.

You will need:

Experience in a senior Business Intelligence role, preferably within the finance industry.
Strong SQL skills within a reporting environment.
Proficiency with business reporting software solutions (Power BI preferred).
Detail-oriented approach, with a focus on delivering high-quality, accurate work.
Ability to manage multiple projects and work under tight deadlines when needed.

Desirable Requirements:

Experience with cloud platforms such as AWS, Google Cloud and Azure (or other similar systems)
Knowledge of data governance and compliance regulations (e.g., GDPR).

Additional Information:

The company we are partnered with will not be providing sponsorship for this role.

Inventum Group is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics. If you require any adjustments to apply for a role with us, please let us know in whatever way suits you best. Inventum Group is a Recruitment and ED&I Consultancy Business.

Inventum Group is acting as an Employment Agency in relation to this vacancy

Industry Insights

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

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

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.