1 to 25 of 123 Economics Jobs in the UK excluding London

indicators (KPIs). Work closely with data engineers to ensure data accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data visualization tools (e.g. More ❯

non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable More ❯

manipulation is highly desirable. Knowledge of CRM systems, especially Salesforce, is a plus. Excellent communication skills, able to articulate complex insights to non-technical stakeholders. A degree in Business, Economics, Data Science, or a related quantitative field. A proactive, curious approach with a passion for exploring data and identifying strategic opportunities. AND FOR YOU: Potential for professional development within a More ❯

explain data insights to non-technical stakeholders A strategic thinker who can connect insights to business objectives Self-motivated, curious, and proactive in uncovering opportunities Degree in Marketing, Business, Economics, Statistics, Data Science, or related field Rewards & Benefits: Discretionary Bonus Scheme 9% pension contribution each month 33 days annual leave (including English statutory bank and public holidays) Option to buy More ❯

explain data insights to non-technical stakeholders A strategic thinker who can connect insights to business objectives Self-motivated, curious, and proactive in uncovering opportunities Degree in Marketing, Business, Economics, Statistics, Data Science, or related field Rewards & Benefits: Discretionary Bonus Scheme 9% pension contribution each month 33 days annual leave (including English statutory bank and public holidays) Option to buy More ❯

explain data insights to non-technical stakeholders A strategic thinker who can connect insights to business objectives Self-motivated, curious, and proactive in uncovering opportunities Degree in Marketing, Business, Economics, Statistics, Data Science, or related field Rewards & Benefits: Discretionary Bonus Scheme 9% pension contribution each month 33 days annual leave (including English statutory bank and public holidays) Option to buy More ❯

policies, while maintaining clear documentation of pricing models and strategies. What you'll need to succeed A background in distribution is required for this role. Bachelor's degree in Economics, Business, Mathematics, Statistics, Finance, or a related field. A Master's degree or certification in pricing are a plus. 2+ years of experience in dynamic pricing, revenue management, or a More ❯

Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate technical More ❯

improvements in reporting and outputs, making use of automation and technology where possible. Skills & experience required: Degree (or equivalent) in a numerate or analytical subject such as Mathematics, Statistics, Economics, Data Science, or Business Analytics. Ideally 12 months’ commercial experience in a data-led role (e.g. placement year, internship); exceptional recent graduate talent will also be considered. Advanced Excel skills More ❯

Works well in cross-functional teams and contributes to team rituals (e.g. planning, retrospectives). Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or Computer Science, and 2–3 years of experience in an analytics or commercial insights role—preferably with exposure to pricing, promotions, or trading analytics. Benefits Wellbeing & Lifestyle Benefits More ❯

sales, marketing, and customer success teams to support growth strategies. Translate data-driven insights into recommendations for improving product adoption and customer experience. Requirements Bachelor’s degree in Business, Economics, Data Analytics, Computer Science, or related field. Excellent communication skills in German (C1+) and English (fluent). Interest in SaaS business models, metrics, and emerging technologies. Ability to work independently More ❯

sales, marketing, and customer success teams to support growth strategies. Translate data-driven insights into recommendations for improving product adoption and customer experience. Requirements Bachelor’s degree in Business, Economics, Data Analytics, Computer Science, or related field. Excellent communication skills in German (C1+) and English (fluent). Interest in SaaS business models, metrics, and emerging technologies. Ability to work independently More ❯

sales, marketing, and customer success teams to support growth strategies. Translate data-driven insights into recommendations for improving product adoption and customer experience. Requirements Bachelor’s degree in Business, Economics, Data Analytics, Computer Science, or related field. Excellent communication skills in German (C1+) and English (fluent). Interest in SaaS business models, metrics, and emerging technologies. Ability to work independently More ❯

Excellent communication skills able to simplify complex analysis for any audience. Proven expertise in SQL, plus experience with Excel, Power BI or Tableau. Degree-level education in maths, statistics, economics, or similar. Experience with board reporting and senior stakeholder engagement. Experience within enforcement, compliance or other regulated services. (Desirable) Knowledge of case management systems, operational metrics, or tools like Python More ❯

Excellent communication skills—able to simplify complex analysis for any audience. Proven expertise in SQL, plus experience with Excel, Power BI or Tableau. Degree-level education in maths, statistics, economics, or similar. Experience with board reporting and senior stakeholder engagement. Experience within enforcement, compliance or other regulated services. (Desirable) Knowledge of case management systems, operational metrics, or tools like Python More ❯

to the Job Description for comprehensive details of the roles key duties and requirements. Person Specification Qualifications Essential Educated to Degree level in a relevant subject (such as Mathematics, Economics, Statistics or a related quantitative or analytical discipline) or equivalent level of qualification or significant equivalent previous proven experience in analytics. Desirable Information Management Qualification or other relevant qualification e.g. More ❯

Ensure data accuracy and compliance with regulatory standards. What We're Looking For Strong analytical skills with proficiency in SQL, Excel, and Power BI/Tableau. Background in finance, economics, or data science. 3+ years of experience in financial analysis or business intelligence roles. Experience in SaaS, energy, or tech sectors is a plus. Excellent problem-solving and communication skills. More ❯

Ensure data accuracy and compliance with regulatory standards. What We're Looking For Strong analytical skills with proficiency in SQL, Excel, and Power BI/Tableau. Background in finance, economics, or data science. 3+ years of experience in financial analysis or business intelligence roles. Experience in SaaS, energy, or tech sectors is a plus. Excellent problem-solving and communication skills. More ❯

Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is a plus. More ❯

Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is a plus. More ❯

Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business model is a plus. More ❯

interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not More ❯

using tools like Power BI, Tableau, and Excel Support PMO operations with data integrity, governance reporting, and continuous improvement initiatives What We're Looking For: Degree in Finance, Business, Economics, Data Science or related field 3-5 years' experience in data, financial, or commercial analysis Strong background in financial reporting and CPP analysis Advanced Excel skills and proficiency in data More ❯

monthly reports to demonstrate campaign success. Support process improvements to make reporting more efficient as the business grows. You: A recent graduate with a degree in Data Science, Statistics, Economics, Marketing, Business, or a related field. Strong analytical mindset with excellent attention to detail. Comfortable working with tools like Excel, and ideally some exposure to SQL, Python, or data visualisation More ❯

complex data clearly and persuasively A problem-solving mindset with the ability to tailor analysis to different client needs Strong organisational skills and attention to detail A degree in economics, maths, science, politics, or similar is preferred Connells Group UK is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability More ❯