At a Glance
- Tasks: Analyse and manage data to support remediation activities for National Savings and Investments.
- Company: Join a reputable organisation focused on financial services and data integrity.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Active SC Clearance is essential; inclusive hiring practices for candidates with disabilities.
- Why this job: Make a real impact by ensuring data quality and supporting critical remediation projects.
- Qualifications: Degree in a numerate field or equivalent experience; knowledge of R or Python required.
The predicted salary is between 40000 - 50000 £ per year.
On behalf of National Savings and Investments, we are looking for a Remediation Data Analyst for an 18 Month Inside IR35, Hybrid contract - up to 2 days per week in London.
An active SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to undergo checks. (Please note, due to the exceptional requirements of this position (short-term nature of this role and speed at which we require a postholder in situ) preference may be given to candidates who meet all of the essential criteria and hold active security clearance.)
- Purpose of role in the organisation
- Act as an expert in NS&I data, including how it is structured, interpreted, manipulated and quality assured to support remediation activity.
- Produce and undertake data-related activities, including data extracts, to support delivery of the remediation programme.
- Produce analysis and reporting that provides stakeholders with clear, accurate insight and information relating to remediation activities.
Key Responsibilities
- Remediation data activities
- Develop and maintain the data, code and processes that support remediation, including optimisation, documentation and quality assurance of the existing code base.
- Maintain expert knowledge of relevant data structures, content, capabilities, limitations and known quality issues.
- Interrogate and interpret remediation and wider data in NS&I analytical data repositories using appropriate tools, analytical techniques and quality controls.
- Provide analytical support to the remediation programme, producing insight and evidence to inform decisions and delivery activity.
- Explain analysis clearly to stakeholders with varying levels of data literacy, including non-technical audiences.
- Remediation population management
- Undertake updates to the remediation population as required, ensuring changes are controlled, tested and documented.
- Understand how the remediation population is created, including the data features, controls and testing used to reduce delivery and data quality risk.
- Regular, repeatable processes and reporting
- Undertake regular data-related processes at the required frequency, applying appropriate controls and following established, documented procedures.
- Validate and assure work undertaken by other members of the team.
- Remediation data development
- Identify and recommend changes or enhancements that improve efficiency, control, quality or repeatability of remediation data processes.
- Translate remediation programme needs into clear specifications for data, process and reporting enhancements.
- Test new data items as they are added, confirming they meet requirements and raising issues through the appropriate route.
- Raise, track and support resolution of data issues, ensuring impacts and actions are clearly recorded.
- Document processes as they are amended, enhanced or newly developed.
- Development
- Take ownership of ongoing development, maintaining expertise in relevant data sources, tools and operational processes.
Essential qualifications
- Degree-level qualification, or equivalent experience, in a numerate, analytical or statistical subject.
Essential skills and experience
- Experience delivering data outputs that support business-critical, operational or remediation activities.
- Experience handling operational, case-level data with appropriate attention to accuracy, control and confidentiality.
- Working-level knowledge of R or Python and their respective ecosystems, including experience writing, developing and optimising code for complex programmes and scripts.
- Working-level knowledge of business intelligence or data visualisation tools, such as Tableau or Power BI, and experience applying a range of visualisation techniques to communicate insight clearly.
Essential technical knowledge
- Expert-level knowledge of Excel, including advanced formulas, data manipulation and quality checking techniques.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident
As a member of the Disability Confident Scheme, the Department for Business and Trade guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy.
In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group.
This scheme encourages candidates with a disability and/or neurodivergence to apply.
Armed Forces Covenant
The Dept for Business and Trade guarantees to interview veterans or spouses / partners of military personnel who meet all the essential criteria for the vacancy.
In cases where we have a high volume of ex-military candidates / military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group.
In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.
In applying for this role, you acknowledge the following "this role falls in scope of the Off Payroll Working in the Public Sector legislation.
Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs.
As such the payment to the intermediary and your income resulting from this contract will be different".
#J-18808-Ljbffr
Remediation Data Analyst in London employer: Public Sector Resourcing, managed by AMS
As a leading employer in the public sector, we offer a dynamic work environment that prioritises employee well-being and professional growth. Our Liverpool-based team thrives on collaboration and innovation, providing ample opportunities for career advancement while contributing to meaningful projects that enhance workplace health and safety. Join us to be part of a supportive culture that values your expertise and encourages continuous learning.
Contact Details:
Public Sector Resourcing, managed by AMS Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remediation Data Analyst in London
✨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 Public Sector Resourcing, managed by AMS 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 Public Sector Resourcing, managed by AMS.
✨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 Public Sector Resourcing, managed by AMS.
We think you need these skills to ace Remediation Data Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Public Sector Resourcing, managed by AMS, 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 Public Sector Resourcing, managed by AMS, 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 Public Sector Resourcing, managed by AMS’s attention and show the tangible impact of your work.
How to prepare for a job interview at Public Sector Resourcing, managed by AMS
✨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 Public Sector Resourcing, managed by AMS.
✨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 Public Sector Resourcing, managed by AMS.
✨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 Public Sector Resourcing, managed by AMS.
