Asset Data Quality Officer

Northenden
1 week ago
Create job alert

Asset Data Quality Officer

Salary Up to £39,248

Location Didsbury, Manchester

Permanent, Full Time

You will have a key role in supporting the delivery of Great Places’ Corporate Plan, Asset Management and Sustainability Strategies. Your primary responsibility is to manage and monitor all change requests received from the organisation, ensuring that quick turnaround times are applied to implement change, minimising impact on stock reconciliation, compliance active and rent and service charge income.

You will provide quality assurance of data and performance information to ensure accuracy and integrity of data. This will require building effective communication channels with surveyors, compliance & technical officers as well as cross departmental colleagues in teams such as repairs, development and neighbourhoods.

What you’ll be doing



Comply with Great Places' Equality and Diversity, Health and Safety, and Safeguarding Policies.

*

Undertake relevant training and development opportunities.

*

Contribute to the delivery of the Great Places competency framework.

*

Manage property-related requests (disposals, acquisitions, buy-backs, etc.) including managing and processing the handover of newbuild properties, and ensure all required information is accurately recorded in relevant systems.

*

Consult with stakeholders to verify data and ensure compliance activities are captured and systems updated.

*

Monitor stock reconciliation and report on asset and stock list movements.

*

Ensure timely processing of changes and lead weekly meetings with stakeholders to report on progress.

*

Provide business assurance through quality checks and act as an audit point for processes.

*

Collect, organize, and analyse data to provide operational insights.

*

Support the Asset Strategy Manager in processing, analysing, and interpreting performance data.

*

Create visualizations and reports to communicate findings to stakeholders.

*

Provide business assurance re: quality checks and act as audit to the process.

*

Ensure the Assets team provides detailed, efficient, and effective asset information and reports.

*

Support the wider Assets team with data analysis, management, and reporting capabilities.

*

Provide access to asset and stock data for internal teams, supporting the Divestment Strategy and decision-making across the business.

What you’ll need

*

Proficiency in the full Microsoft Office suite, with advanced knowledge of Microsoft Excel.

*

Experience working with large data sets, including analysing, comparing, and effectively communicating results.

*

Experience with asset or property data within the housing sector (desirable).

*

Knowledge of SQL, Power BI, and data warehouse reporting and extraction (advantageous).

*

Strong attention to detail, with the ability to complete tasks accurately and on time under pressure.

*

Ability to collaborate effectively with staff and stakeholders to gather information and resolve issues.

*

High standard of customer service.

*

Project management experience.

*

Excellent written and verbal communication skills.

*

Ability to work independently.

What we need from you

Strong attention to detail, analytical skills, and ability to communicate data effectively.

Highly organised, reliable, and target-driven, with excellent time management and the ability to work independently or as part of a team.

A commitment to understand the challenges and opportunities that exist in the communities in which we work. We particularly value lived experience in social housing

A passion to advocate on behalf of people and communities

Respecting professional boundaries and conducting yourself in a professional manner at all times.

A commitment to work in partnership with others for the benefit of Great Places

A commitment to continuous learning and improvement

Ability to work flexibly and when needed outside normal working hours to ensure service continuity

An ability to work in uncertainty

To be professional and work with integrity, inclusivity, and respect for diversity

What we give you in return for your hard work and commitment

Pension ¦ DC scheme (up to 10% contribution from both colleagues and Great Places)

WPA ¦ Healthcare auto enrolled at no contribution level with £1250 of savings available - option to increase & add family members

Annual leave ¦ Start at 26 days annual leave, increasing up to 30 days within 5 years + Bank Holidays

Reward & Recognition ¦ You Count Rewards are individual reward’s for going ‘above & beyond’

Professional Fees ¦ The business pays the cost of one professional membership fee for each colleague

The Market Place ¦high street, restaurant & supermarket discounts, gym memberships, cycle to work, smart tech loans and much more

Ways of Working¦ We offer some hybrid and flexible working

Health and Wellbeing Initiatives ¦ Our colleagues enjoy wellbeing campaigns throughout the year, with activities designed around our four pillars of wellbeing, these include career wellbeing, mental wellbeing, physical wellbeing and financial wellbeing

*Please note this role is known as Asset Change & Audit Officer at Great Places

Related Jobs

View all jobs

Asset Data Officer

Asset Data Analyst

Data Quality Specialist

Data Quality Specialist

Data Quality Specialist

Data Quality Specialist

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.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.