Data Analyst

Lorien

AI AutomationmidLondon Area, United KingdomhybridfulltimeInsurance and Employee Benefit Funds, Insurance, and Insurance Agencies and BrokeragesAlteryxLLMClaudeAgentic AIPrompt EngineeringData EngineeringExcelAI Automationposted 23 Jul
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Tax Automation \& Alteryx Data Analyst Location: London (Hybrid – 2 days per week in office, either Mon/Wed or Tue/Wed) Contract: 12-Month Fixed-Term Contract Salary: £93,000 – £103,000 + Guaranteed Full Bonus Reports to: Head of Tax Transformation The 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 Responsibilities * Design, 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. Essential Skills \& Experience Minimum Requirements * Strong 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 workflows * Emerging Agentic AI capabilities * Strong stakeholder management skills with the ability to engage and influence non-technical users. Desirable Experience * Financial 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 Profile We'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.