Data Governance & Quality Analyst

Solihull
3 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

Data Analyst (Financial Markets, Data Mapping, Modelling)

Risk and Finance Data Governance Analyst - AVP & VP

Data Governance & Quality Analyst

Solihull based (Hybrid working, in office 2 days per week)

£50K - £60K

This role involves working in a wider Data & BI team but being the sole Data Governance & Quality Analyst within the team and business.

Working for a leading global organisation, they are looking for a data governance expert, engaging with leadership and other key stakeholders in the organisation and external providers to drive adoption of good data management practice across the business.

Role responsibilities:

Work collaboratively across the business functions to implement and drive a suite of Data Governance policies, practices, and procedures to ensure consistency, accuracy, and compliance.
Be the data governance expert, engaging with leadership and other key stakeholders in the wider business and external providers to drive adoption of good data management practice across the business.
Oversee the generation, review and use of metrics associated with data governance and quality assurance to ensure adherence to policies and report findings.
Drive the creation of a metadata repository solution and the improvement of current data and report dictionary solutions.
Embedding a strong data management culture within the organisation by advocating the Data Governance strategy and proactively challenging colleagues.
Attend the data governance board and co-ordinate broader data governance activities.
Work with data owners and stewards to identify data quality challenges and implement data improvement plans.
Continually looking for innovative ways to make improvements based on the latest trends and research.Experience needed:

Can demonstrate experience in a technical data quality related function.
Experience in designing and implementing a process related to data quality assurance oversight.
Experience of designing, analysing an interpreting metrics to identify weaknesses in processes.
Strong stakeholder management skills - demonstrable experience of implementing data governance frameworks and influencing at a senior level to gain buy in and acceptance.
Solid understanding of data quality concepts, standards, and industry best practices.
Proficient in data profiling techniques and data quality assessment methodologies.
Knowledge of data governance frameworks, data stewardship, and data lifecycle management.
Familiarity with data management technologies, databases, and data warehousing concepts.
Understanding of relevant data protection and privacy regulations (e.g., GDPR, CCPA).Please apply asap if interested. Great perks and flexibility in role. GleeIT

Data Governance & Quality Analyst

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.