1 to 25 of 1,193 Economics Jobs in England

data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who More ❯

modelling and data analysis Python programming experience for data analysis and automation Understanding of data integration processes Bachelor's degree in a quantitative field (Computer Science, Data Science, Engineering, Economics, etc.) Desired Skills & Experience Direct experience and/or demonstrable interest in renewable energy and energy markets Familiarity with cloud platforms such as Microsoft Azure/Fabric, AWS, or Google More ❯

data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who More ❯

data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who More ❯

data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who More ❯

data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team who More ❯

desire to learn and develop core analytical skills Understand your strengths and weaknesses and train accordingly YOUR SKILLS AND EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience. 1 – 2 years of More ❯

Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience Stock options in a high-growth startup Private Health insurance Pension Apply for this job indicates a required field First Name Last Name Preferred More ❯

both written and spoken. Qualifications: Experience: 1-3+ years in business analytics or related roles within Fintech, Banking, or Telecom sectors. Degree: Degree in Business, Data Science, Statistics, Economics, Mathematics, Computer Science, or related fields. Certifications or a Master’s degree (e.g., MBA, MS in Business Analytics) are a plus. Tools: Experience with visualization and analysis tools like Tableau More ❯

in a business context. Qualifications: Experience: 1-3+ years in business analytics or related roles within Fintech, Banking, or Telecom sectors. Degree: Degree in Business, Data Science, Statistics, Economics, Mathematics, Computer Science, or related fields; a Master’s or certification (e.g., MBA, MS) is a plus. Tools: Experience with visualization and analysis tools such as Tableau, Power BI, SQL More ❯

Privacy and Compliance: Adhere to data privacy regulations and compliance requirements while handling sensitive and confidential data. QUALIFICATIONS Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Economics, or Computer Science. A master's degree is a plus. At least 5 years of professional experience as a Data Analyst or in a similar role, demonstrating proficiency in data More ❯

Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience Benefits Competitive base salary Stock options in a high-growth startup Private Health insurance Pension Seniority level Seniority level Not Applicable Employment type Employment More ❯

process improvements, and ensuring compliance with regulatory and internal policies, while maintaining clear documentation of pricing models and strategies. What you'll need to succeed 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 ❯

assist in business planning; Engage in forecasting, scenario analysis, and business case creation; Provide ad hoc data insights and support for strategic projects. Qualifications: Bachelor’s degree in Business, Economics, Data Science, Statistics, or related field; 2–3 years of experience in data analytics or business analysis, with a focus on market research; Proficient in SQL and at least one More ❯

portfolio companies. Support data governance and ensure data integrity and accuracy across reports and analytical models. Qualifications: Bachelor’s degree in a quantitative field such as Data Science, Finance, Economics, Computer Science, or related discipline. 3+ years of experience in a data analytics role, ideally within private equity, investment management, or financial services. Expert-level proficiency in Power BI, including More ❯

and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're eager More ❯

audiences. Familiarity with tools like Jira for backlog and task management (a plus). Understanding of data privacy considerations in analytics. Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field (preferred). Why Join Us Work with a talented, collaborative team on meaningful, high-impact projects. Help shape the future of analytics in a fast-growing More ❯

with Power BI and SAP is beneficial but not essential. Ability to manage and analyse large data sets, with some advanced analytical or statistical expertise. Education: Degree in business, economics, statistics, or a related field preferred. Personal Attributes: Excellent communication and presentation skills, with the ability to influence stakeholders at all levels. Strong problem-solving and analytical mindset. Proactive and More ❯

analyst Develop and manage key client relationships, managing requests while educating clients on data best practice. What You’ll Bring Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics, Natural Sciences) or Social Sciences, with heavy emphasis on quantitative methods. 3–5+ years in a data strategy, digital strategy, or performance marketing role (agency or client-side) A deep More ❯

otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.Proficient in business intelligence tools More ❯

otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.Proficient in business intelligence tools More ❯

otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.Proficient in business intelligence tools More ❯

noise Experience in mentorship and management, ability to display empathy in difficult situations and lead by example BONUS POINTS Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science. Working knowledge of key industry tools and sources such as TGI, IPA Touchpoints, BrandWatch, Meltwater, YouGov Profiles + YouGov BrandIndex. Familiarity with data visualisation More ❯

data processes. - AI & Innovation - Participate in the deployment of AI solutions leveraging internally available tools to improve portfolio insights and data interpretation. Qualifications - Bachelor’s degree in STEM, Finance, Economics, Data Science, or related discipline. - 4–5 years of experience in data analysis, preferably in financial services or private credit/asset management. - Strong Excel, Power BI and PowerPoint skills. More ❯

data processes. - AI & Innovation - Participate in the deployment of AI solutions leveraging internally available tools to improve portfolio insights and data interpretation. Qualifications - Bachelor’s degree in STEM, Finance, Economics, Data Science, or related discipline. - 4–5 years of experience in data analysis, preferably in financial services or private credit/asset management. - Strong Excel, Power BI and PowerPoint skills. More ❯