At a Glance
- Tasks: Support data governance in social housing by analysing and mapping data entities.
- Company: Join a dynamic team focused on improving data quality in social housing.
- Benefits: Competitive daily rate, remote-first work, and opportunities for face-to-face collaboration.
- Other info: Ideal for hands-on contractors who thrive in complex environments.
- Why this job: Make a real impact on data governance in the social housing sector.
- Qualifications: Experience in social housing and strong data analysis skills required.
You will support a focused data governance initiative within a social housing environment. You will analyse housing-specific data entities and map how data is created, read, updated and deleted across key systems, processes and user groups. You will work closely with data, technology and business stakeholders to improve data ownership, lineage, quality controls and lifecycle management across core operational platforms.
You will:
- Produce a CRUD matrix across key housing data entities, including tenants, properties, assets, tenancies, repairs, compliance, arrears and contacts.
- Map data entities against core systems, integrations, processes and user roles.
- Identify data ownership, stewardship responsibilities, lineage and lifecycle controls.
- Highlight data quality issues, duplication, manual re-keying, unclear ownership and control gaps.
- Support the development of data governance artefacts, including data dictionaries, quality rules and metadata documentation.
- Facilitate workshops with business, technical and operational stakeholders.
- Translate complex data flows into clear, business-facing documentation.
- Deliver structured outputs quickly.
Rate: £500 per day, subject to experience
Contract: Initial 3 months
Location: Remote-first / hybrid, with occasional face-to-face collaboration
Start: ASAP
You will need:
- Recent social housing experience.
- Strong data-focused business analysis experience.
- Experience of data governance, data quality, data migration, MDM or data lifecycle projects.
- Proven experience producing CRUD matrices, data flow diagrams and data mapping documentation.
- Understanding of housing data across areas such as tenants, properties, assets, repairs, compliance, tenancy management or income.
- Strong stakeholder engagement and workshop facilitation skills.
- Confidence working with Excel, mapping tools and structured datasets.
- An understanding of relational databases, schemas or SQL would be advantageous.
This role will suit a hands-on contractor who can quickly understand a complex housing systems landscape, work independently and deliver practical data governance outputs with minimal hand-holding.
Contract Data Governance Business Analyst - Social Housing in London employer: itecopeople
As a Contract Data Governance Business Analyst in the social housing sector, you will join a forward-thinking team that values collaboration and innovation. Our remote-first and hybrid work culture promotes flexibility while ensuring meaningful face-to-face interactions, fostering a supportive environment for professional growth. With a focus on data quality and governance, we offer unique opportunities to make a tangible impact in the community, enhancing your skills and career trajectory in a vital industry.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Data Governance Business Analyst - Social Housing in London
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We think you need these skills to ace Contract Data Governance Business Analyst - Social Housing in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Contract Data Governance Business Analyst - Social Housing at itecopeople, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at itecopeople.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at itecopeople
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
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Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
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Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
