2 of 2 Remote Data Extraction Jobs in Lancashire

Data Analyst Location: Remote-first (monthly visit to Nottingham HQ - travel expensed) Salary: £30,000-£45,000 (DOE) The Company A fast-growing UK consumer lender recently acquired by a global fintech, focused on transparent, short-term credit that helps customers cover essential, time-critical costs. With significant investment and an ambitious growth plan (new products and expanded lines … of credit), the business is scaling its data capability to drive smarter acquisition and pricing decisions. The Role This is a hands-on analytics role sitting in Marketing & Pricing. You'll analyse broker and lead-gen performance, optimise pricing and targets, and turn large datasets into clear, commercial recommendations. Expect variety: building dashboards, running A/B tests, diagnosing … visualisation tools. Translate findings into clear actions for Marketing, Commercial and senior leadership. Support new product lines (e.g., line of credit) with sizing, test design and success metrics. Improve data acquisition and quality from external partners; define specs, checks and SLAs. Contribute to forecasting and planning by feeding robust performance assumptions. Document logic, maintain reproducible code, and champion best More ❯

professional courses.. they partner with thousands of schools, universities, and businesses to empower learners worldwide. You'll be joining an insights team of 10, working at the heart of data-driven decision making. The Role This is an early-career role, ideal for a recent graduate or someone with 1-2 years' analytics experience. As a Customer Insight Analyst … you'll work across multiple datasets including learning, transactional, and operational data, turning numbers into meaningful stories that shape strategic decisions. You'll gain broad exposure to reporting, stakeholder communication, and insight generation in a supportive, collaborative team. Key Responsibilities Develop and manage Power BI dashboards and reports, taking ownership of the backlog. Use SQL for data extraction and transformation across multiple business sources. Translate complex datasets into actionable insights and clear recommendations. Collaborate with stakeholders to understand business needs and deliver solutions. Build engaging data visualisations that bring insights to life. Support data governance and quality assurance processes. Present findings to stakeholders in a clear and confident way. Skills & Experience Essential: SQL skills with More ❯