Data Analyst

Lorien
London, UK
15 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Microsoft Excel Artificial Intelligence Big Data Spreadsheets Information Engineering Data Transformation Power BI Large Language Models Prompt Engineering Data Analytics Virtual Agents GPT
+1 more
Alteryx

Job description

Tax Automation & Alteryx Data AnalystLocation: London (Hybrid - 2 days per week in office, either Mon/Wed or Tue/Wed)Contract: 12-Month Fixed-Term ContractSalary: £93,000 - £103,000 + Guaranteed Full BonusReports to: Head of Tax TransformationThe Opportunity My client is seeking a highly analytical Tax Automation & AI Data Analyst to join the Tax Transformation team on a 12-month fixed-term basis.This role sits at the intersection of data engineering, automation and applied AI. You will play a key role in helping the Tax function modernise its operating model by combining established automation technologies such as Alteryx with emerging AI capabilities, including LLM-powered tools and Agentic AI solutions. Working directly with tax subject matter experts, you will help transform manual and spreadsheet-heavy processes into scalable, controlled and auditable solutions. This is a hands-on delivery role focused on building practical automation and AI-enabled capabilities rather than leading people. The successful candidate will be passionate about using data and technology to solve business problems, confident engaging with non-technical stakeholders and able to help teams identify new ways AI can create value across Tax operations. Key ResponsibilitiesDesign, develop and maintain Alteryx workflows that automate complex tax and finance processes.Partner with Tax SMEs to identify, prioritise and build a pipeline of automation and AI use cases.Use data engineering and automation techniques to reduce manual processing and improve operational efficiency.Support the development and implementation of AI-enabled solutions, including LLM-based tools, Claude use cases and Agentic AI capabilities.Help the Tax function understand how AI can be practically and responsibly applied to enhance processes and decision-making.Build controlled, auditable solutions within a regulated financial services environment.Source, cleanse, validate and reconcile data from multiple systems and datasets.Develop reporting, dashboards and analytical outputs to support operational and strategic tax activities.Create clear technical documentation and promote adoption of new tools and processes.Work closely with data engineering colleagues to help meet growing demand for automation and AI initiatives across the department.Proactively identify opportunities for continuous improvement and bring forward innovative solutions.

Requirements

Essential Skills & ExperienceMinimum RequirementsStrong analytical and problem-solving skills with the ability to translate business challenges into data-driven solutions.Hands-on experience developing business-critical workflows in Alteryx.Alteryx certification or willingness to obtain certification quickly.Experience working with complex datasets and data transformation activities.Advanced Excel skills.Experience applying AI technologies within business processes, particularly:LLM-based tools (e.g. Claude, ChatGPT or similar)Prompt engineering and AI-assisted workflowsEmerging Agentic AI capabilitiesStrong stakeholder management skills with the ability to engage and influence non-technical users. Desirable ExperienceFinancial Services, Insurance or another highly regulated environment.Experience supporting finance, tax, risk or control-related processes.Knowledge of Power BI or similar visualisation tools.Experience building AI-enabled automation solutions.Understanding of governance, controls and risk considerations when deploying AI capabilities.Exposure to tax, finance transformation or process improvement initiatives. Candidate ProfileWe’re looking for someone who:Has strong Alteryx expertise as their core capability.Is excited by the practical application of AI in business environments.Can bridge the gap between technical teams and business stakeholders.Enjoys helping non-technical colleagues adopt new technologies.Thinks creatively about how data and AI can transform processes.

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