At a Glance
- Tasks: Lead HR data quality initiatives and ensure accurate reporting across global datasets.
- Company: Join a major HR transformation programme with a focus on Workday.
- Benefits: Competitive salary, hybrid work model, and opportunity to impact global HR data.
- Other info: Dynamic role with excellent career growth in a collaborative environment.
- Why this job: Be part of a high-impact project improving HR data quality across 40 countries.
- Qualifications: Experience with Workday HCM data structures and strong analytical skills required.
The predicted salary is between 33000 - 65000 £ per year.
Requirements
- Strong hands‑on experience with Workday HCM data structures, reporting, and HR master data management.
- Extensive experience analysing HR master data across Workday, legacy HR systems, finance systems, and country‑level sources to identify mismatches, duplicates, and inconsistencies.
- Proven ability to investigate recurring data issues and define sustainable corrective actions across global datasets.
- Experience defining and implementing data quality rules, validation checks, and KPI frameworks across HR data domains.
- Strong understanding of data governance, ownership models, and global data stewardship across multi‑country environments.
- Ability to design and deliver Workday reports and dashboards covering data quality, audit findings, remediation progress, and KPI tracking.
- Ability to partner with HR, Finance, Technology teams, and country‑level data stewards to translate audit findings into actionable remediation plans.
- Ability to build and maintain structured issue logs and remediation backlogs, including ownership, severity, status, and resolution tracking.
- Ability to capture and translate requirements from non‑technical stakeholders into clear Workday reporting and data specifications.
- Ensure all reporting, data definitions, and reconciliation logic are fully auditable and aligned with governance and compliance standards.
Responsibilities
- Lead HR master data reconciliation, root cause analysis, and data quality remediation across Workday, legacy HR systems, finance platforms, and local country data sources.
- Ensure audit findings are translated into clear, trackable actions for country‑level data stewards.
- Define and implement robust data quality frameworks, governance structures, and reporting capabilities.
- Work closely with HR, Finance, Workday teams, and country data stewards to drive a trusted and controlled global HR data environment.
- Design and deliver Workday reports and dashboards covering data quality, audit findings, remediation progress, and KPI tracking.
- Investigate recurring data issues and define sustainable corrective actions across global datasets.
- Partner with stakeholders to translate audit findings into actionable remediation plans.
- Build and maintain structured issue logs and remediation backlogs with ownership, severity, status, and resolution tracking.
- Capture non‑technical requirements and translate them into clear Workday reporting and data specifications.
- Ensure reporting, data definitions, and reconciliation logic remain auditable and aligned with governance and compliance standards.
- Technologies
- Architect
- Support
We are hiring a Workday Data Architect / Senior Data Quality Specialist for a 6–12 month outside IR35 contract on an open day rate.
This is a hybrid role based in London or Birmingham, with two days per week onsite.
You will join a major HR transformation programme focused on establishing Workday as the single source of truth for HR master data across approximately 40 countries.
This is a high‑impact global programme where we are looking to improve the quality, consistency, and reliability of HR data across Workday, legacy systems, finance platforms, and local country sources, while driving measurable improvements in governance, reporting, and compliance.
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StudySmarter Expert Advice🤫
We think this is how you could land Workday Data Architect in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Workday Data Architect in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Workday Data Architect at Harvey Nash, 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 Harvey Nash.
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 Harvey Nash
✨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!
✨Be Ready to Dive Deep into Technical Questions
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!
✨Help Them Understand Your Work Style
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.
✨Pitch Your Value Proposition
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!
