ARC IT Recruitment
Process and Data Analyst
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Process and Data Analyst
HR Technology and Change | London, hybrid
Highly competitive salary plus bonus plus benefits
This is a process and data role. Yes, the work sits inside an AI programme, and yes, you will end up understanding a lot about how AI operates. If you are the person who actually maps the process, finds the seventeen exceptions nobody documented, and works out which of them matter, keep reading.
The role
- Our client is rebuilding how its HR function works, moving from people navigating systems to asking questions in plain language and getting reliable answers back.
- You will map HR processes end to end, capturing decision points, roles involved, and exception handling.
- You will run data quality assessments, work out root causes, and get issues fixed at source rather than patched afterwards.
- You will document standards and definitions, maintain the process library, and flag where a process is too vague or inconsistent to automate safely.
- The function is being built now, and you will help write the playbook, not inherit one.
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What we need you to have done
- Process mapping, hands on. Non-negotiable. Real processes, in a real organisation, to a proper level of detail, working directly with the people who own them.
- Minimum two years in a process analyst, business analyst, data analyst, or similar role.
- Experience working with sensitive information and stakeholders across a business. HR is ideal but not required. Finance, risk, legal, operations, or any confidential-data function counts.
- Comfort with data: spotting quality problems, tracing where they come from, tracking them through to a fix.
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Helpful, not essential
- HR or HR systems exposure (Workday, ServiceNow, SuccessFactors, or similar)
- Hands-on experience with AI tooling, automation, or agents
- Process improvement methodologies (Lean, Six Sigma, or similar)
- Data governance frameworks
- Agile delivery experience
What you get
- Real ownership of a domain that matters.
- Genuine exposure to how AI is being deployed responsibly at enterprise scale, from the inside.
- A team that expects you to move around it over time, across HR technology, delivery, and reporting, rather than stay in one lane.
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