At a Glance
- Tasks: Support data cleansing and improvement projects in housing asset management.
- Company: Join a dynamic team focused on enhancing public sector data management.
- Benefits: Competitive pay of £350 per day, with flexible onsite work.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make a real difference in housing data management while developing your skills.
- Qualifications: Experience in data analysis and project management is essential.
The predicted salary is between 72800 - 72800 £ per year.
Salary: £? - ? per year
Requirements
- Experience as a data analyst, ideally within housing, local government, asset management, or a similar public sector environment
- Strong data analysis, reporting, and data quality skills
- Ability to manage and monitor multiple work streams and projects simultaneously
- Good project management and organisational skills, with experience tracking milestones, risks, actions, and dependencies
- Comfortable holding project leads accountable for delivery and providing regular progress updates
- Previous experience with asset data systems such as MRI Asset Management, Orchard, or similar is desirable
- Strong analytical skills, with proficiency in data analysis and reporting tools such as Excel and Power BI
- Ability to work independently while supporting a wider team
- Competent in communicating with both technical and non-technical stakeholders
- Project management experience is ideal
Responsibilities
- Work closely with our lead analyst on the priority data cleansing and improvement project related to our housing asset management system
- Support data validation, cleansing, and quality improvement activities
- Monitor and report on the progress of projects due to be delivered across the team
- Support accountability for project delivery by following up on actions and highlighting slippage where required
- Assist with project coordination, reporting, and stakeholder engagement for the asset management system improvement programme
Technologies
- Excel
- Power BI
We are recruiting for a Data Analyst (Housing) role in Harlow on a 6-month initial contract, offering £350 per day PAYE. The role is based onsite 2 days per week, with 3 days onsite noted in the advert. This is an opportunity to join a housing asset management improvement programme, supporting our lead analyst and wider team on data cleansing, reporting, project coordination, and stakeholder engagement. Recruitment is carried out in line with safe recruitment practices, and we are an equal opportunity agency.
Data Analyst in Harlow employer: 4Recruitment Services
4Recruitment Services is an excellent employer, offering a supportive work culture that prioritises safety and teamwork in the Buckinghamshire area. Employees benefit from comprehensive training and development opportunities, ensuring career growth while working in a vital role that contributes to community well-being. With provided uniforms and PPE, the company fosters a professional environment where every team member is valued and empowered to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Harlow
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like 4Recruitment Services before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like 4Recruitment Services.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like 4Recruitment Services.
We think you need these skills to ace Data Analyst in Harlow
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at 4Recruitment Services, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to 4Recruitment Services, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab 4Recruitment Services’s attention and show the tangible impact of your work.
How to prepare for a job interview at 4Recruitment Services
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at 4Recruitment Services.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at 4Recruitment Services.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at 4Recruitment Services.
