Service Delivery Automation Analyst

Jobgether

United Kingdom

On-site

GBP 65,000 - 90,000

Full time

4 hours ago
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Job summary

Jobgether partners with a UK-based employer to recruit a Service Delivery Automation Analyst. You will transform complex payroll operations into automated workflows across multiple countries, using n8n, Alteryx, SQL, APIs, and LLM-based solutions.

Collaborating with payroll specialists, operations teams, Product, Engineering, and Data, you will own automation projects from discovery through testing, deployment, and continuous improvement, ensuring accuracy and auditable processes.

Qualifications

  • 3+ years in operations automation, payroll ops or related.
  • Hands-on production workflows using n8n, Alteryx, Make, Zapier, Power Automate.
  • Experience with LLMs to transform unstructured text into data.
  • Experience integrating systems through APIs, webhooks and other methods.
  • Strong SQL and data skills across multiple sources.
  • Ability to turn complex processes into clear rules and data requirements.

Responsibilities

  • Map end-to-end payroll processes and how data moves between systems.
  • Identify automation opportunities by evaluating tasks, issues, impact and risk.
  • Improve processes by removing steps and preventing errors before payroll.
  • Translate policies into documented, version-controlled rules with dates.
  • Build, integrate, and maintain automated workflows across platforms.
  • Apply AI to extract information and route cases appropriately.
  • Choose rule-based, AI, and human review mix; maintain auditable records.
  • Ensure reliability with audit trails, error handling and alerts.
  • Prototype and test solutions with shadow testing and parallel runs.
  • Monitor performance, troubleshoot, and continuously improve or retire solutions.
  • Partner with Product, Engineering and Data for broader improvements.
  • Handle sensitive data respecting privacy and security standards.

Skills

Automation
SQL
Workflow automation
LLMs
APIs
Communication

Tools

n8n
Alteryx
Make
Zapier
Power Automate
SQL
APIs

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Service Delivery Automation Analyst based in United Kingdom.

As a Service Delivery Automation Analyst, you will transform complex operational processes into reliable, efficient, and scalable automated workflows.

You will work at the intersection of operations, data, and technology, helping improve the accuracy and predictability of payroll processes across multiple countries.

Through hands‑on automation, process analysis, and practical AI applications, you will reduce repetitive work and prevent errors before they affect payroll.

You will take ownership of defined automation projects from initial discovery and solution development through testing, deployment, and continuous improvement.

Working closely with payroll specialists, operations teams, Product, Engineering, and Data, you will turn business needs into effective technical solutions.

This role offers an opportunity to apply tools such as n8n, Alteryx, SQL, APIs, and large language models to real‑world operational challenges.

Accountabilities
  • Map end‑to‑end payroll processes to understand how information moves between systems, where validation and calculations occur, and how deadlines, country‑specific requirements, and exceptions affect operations.
  • Identify automation opportunities by evaluating repetitive tasks, manual checks, recurring issues, business impact, implementation effort, and potential risks.
  • Improve existing processes by removing unnecessary steps and preventing missing information, avoidable requests, and errors before they reach payroll.
  • Collaborate with payroll and operations specialists to translate policies and complex requirements into documented, version‑controlled rules, including effective dates and required data.
  • Build, integrate, and maintain automated workflows using tools such as n8n, Alteryx, and LLM‑based solutions, connecting service platforms, payroll systems, databases, APIs, and internal tools.
  • Apply AI practically to interpret requests, extract information from documents and emails, and route cases appropriately, ensuring outputs are validated before they affect payroll.
  • Select the right approach for each problem, combining rule‑based logic, workflow automation, AI, and human review as appropriate. Keep legal and policy requirements transparent, auditable, and documented.
  • Build reliability into every workflow through audit trails, error handling, alerts, exception queues, and approval controls, ensuring records are not silently altered, dropped, or excluded.
  • Prototype and test solutions against real payroll scenarios, edge cases, and exceptions, using shadow testing and parallel runs before deploying changes to live processes.
  • Improve payroll operations through automated information sharing, payroll‑input validation, pay‑impacting exception detection, and reconciliation between payroll and invoices.
  • Monitor automation performance after launch, troubleshoot issues, measure outcomes, and continuously improve or retire solutions that do not deliver the expected results.
  • Partner with Product, Engineering, and Data teams on broader platform improvements, translating operational insights into clear requirements and practical examples.
  • Handle sensitive payroll information responsibly by following privacy, security, and responsible‑AI standards, escalating uncertain or compliance‑sensitive cases for appropriate review.
Requirements
  • At least 3 years of relevant experience in operations automation, process improvement, business or process analysis, payroll operations, internal tooling, or a related field.
  • Hands‑on experience building, deploying, and maintaining production workflows using tools such as n8n, Alteryx, Make, Zapier, Power Automate, or similar platforms.
  • Practical experience using large language models (LLMs) to transform unstructured text and documents into usable data, with the judgment to recognise when straightforward rule‑based automation is more reliable.
  • Experience integrating systems through APIs, webhooks, and other integration methods.
  • Strong SQL and data skills, including the ability to investigate, combine, validate, and analyse information from multiple sources.
  • Ability to structure complex processes, inconsistent inputs, and unusual cases into clear rules and data requirements.
  • A strong focus on accuracy, quality controls, and discrepancy investigation, particularly when errors could affect employee pay.
  • Clear communication skills and the ability to explain technical concepts to non‑technical colleagues, ask effective questions, and challenge requests constructively when automation is not the best solution.
  • A proactive, ownership‑driven approach, with the ability to manage projects from problem identification through implementation, testing, launch, monitoring, and ongoing maintenance.
  • Comfort working with operational specialists and technical teams in a dynamic environment, taking responsibility for defined projects while contributing to wider improvements.
Nice To Have
  • Experience with multi‑country payroll, Employer of Record (EOR) services, finance operations, or HR operations.
  • Understanding of payroll concepts such as gross‑to‑net calculations, payroll cut‑offs, statutory deductions, taxable benefits, expense taxability, and reconciliation.
  • Experience building tools to validate or reconcile payroll or financial data.
  • Familiarity with Zendesk or other customer service platforms and their automation capabilities.
  • Hands‑on experience with n8n or Alteryx, although comparable automation tools are also relevant.
  • Experience with prompt design, AI agents, or retrieval‑augmented generation (RAG) workflows.
  • JavaScript or Python skills for data transformations.
  • Experience measuring operational improvements through metrics such as first‑time accuracy, processing time, service‑level performance, and error rates.
How Jobgether Works

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?
Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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