8 of 8 Economics Jobs in the North West

Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or equivalent experience. Desirable Postgraduate qualification in health informatics, data science, or related field. Evidence of continuing professional development (CPD). Disclosure and Barring Service Check This More ❯

Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with emerging tools, trends, and best practises in data and analytics. More ❯

Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with emerging tools, trends, and best practises in data and analytics. More ❯

ensuring compliance with standards. Participate in continuous improvement efforts for data processes, sources, and architecture. Required Qualifications Bachelor’s or Master’s degree in Business, Data Science, Computer Science, Economics, Engineering, or a related field. 2–4 years of experience in a BI, data analysis, or reporting role. Strong skills in BI tools such as Power BI, Tableau, Qlik , or More ❯

committee-level review. Support FS Product & Marketing initiatives and broader Retail projects. Mentor and develop Senior Analysts within the team. *About you* A degree in a numerate discipline (e.g. Economics, Maths, Accounting) or 5+ years' experience in a commercial analytics role - ideally in Online Retail or Financial Services. Strong SQL and SAS skills (or equivalent), with advanced Excel and solid More ❯

Additional Tools - Experience with other BI tools such as Power BI, Looker, or Google Data Studio. Strong mathematical foundation – expertise in areas such as econometrics, game theory, and behavioural economics are a plus but by no means essential. Prior industry experience - e-commerce, marketplace platforms, or travel tech preferred. 🏡 What will we offer you? At Awaze, we’re building a More ❯

on ad-hoc projects for senior management or regulators. What We're Looking For: To thrive in this role, you should possess: A Bachelor's Degree in Finance, Accounting, Economics, Business, or a related field-or related work experience. Strong analytical skills with the ability to analyse and manipulate large datasets. Excellent time management skills to meet deadlines and manage More ❯

multi-territory brand. The role You'll own the entire ecommerce web stack end-to-end: the Shopify experience, the subscription engine, the CRO programme, the tooling and the economics that sit underneath. Your mandate is to turn traffic into customers, customers into subscribers, and subscribers into profitable repeat buyers—through sharp UX, smart vendor choices, clean data and relentless … standards. Test culture, not just running tests. Data & instrumentation → GA4/GTM, event models, pixels, server-side tracking, consent. One dashboard everyone trusts. No more arguments about numbers. Subscription economics → Sign-up flows, swap/skip, save and win-back journeys. Fewer rage cancels, better retention, higher LTV. Global expansion → Consistent performance across markets. Localisation where it actually moves conversion … Evidence you've built or transformed an e-commerce stack (vendor selection, implementation, optimisation) → A testing portfolio with learnings that stuck and became standards → Proof you've improved subscription economics (attach rate, retention, LTV) → Examples of keeping a platform fast, clean and scalable (fewer apps, better performance, happier customers) Success looks like (12 months) ✓ Conversion up, AOV up, page load More ❯