Asset Data Analyst

Northenden
10 months ago
Applications closed

Related Jobs

View all jobs

Assistant Housing Asset Data Analyst

Metering Data Analyst

Technical Building Data Analyst

Systems and Data Analyst

Data Engineer

Data Engineer - Design Configuration

Asset Data Analyst

Salary Up to £39,248

Location Didsbury, Manchester

Permanent, Full Time

Reporting to the Data and Planning Manager, you will play a key role in supporting the delivery of Great Places’ Corporate Plan, Asset Management, and Sustainability Strategies. This role’s primary responsibility is to provide research, analytical insights, and quality assurance across the organisation. You will ensure data accuracy and integrity, meeting both internal and external requirements. Effective collaboration with surveyors, compliance and technical officers, and colleagues across teams such as repairs, development, and neighbourhoods will be essential for success in this role.

What you’ll be doing



Ensure accurate, up-to-date data to support data-driven decisions across the business.

*

Analyse and interpret data to identify trends, provide insights, and inform.

*

Create reports and visualisations for wider Assets team and key stakeholders on asset performance, condition, and sustainability.

*

Support the Asset Strategy Manager in processing and communicating performance data.

*

Provide access to asset and stock data for internal teams, supporting the Divestment Strategy.

What you’ll need

*

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

*

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

*

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

*

Project management experience.

*

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

*

Familiarity with SQL, Power BI, and data warehouse reporting and extraction (advantageous).

*

Strong attention to detail with the ability to meet deadlines under pressure.

*

Effective communication and collaboration with staff and stakeholders to share or gather information and resolve issues.

*

Commitment to delivering high-quality customer service.

*

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 Analysis & Assurance Officer at Great Places

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.