Data Analyst

DeadlineThe deadline for applications is the 16th of NovemberWhat we doAlma Economics combines unparalleled analytical expertise with the ability to communicate complex ideas clearly.We are a team of economists, social researchers, data scientists, developers and creatives working together on critical issues facing our society today. Our work spans multiple policy areas, including education, health and social care, housing and homelessness, the environment, public finance, and international development, among others.Our diverse staff combine decades of experience in economic and social research at the highest levels with the ability to develop state-of-the-art tech tools and powerful communications.We work with some of the most forward-thinking organisations in the voluntary, public, and private sectors. Our clients include most UK government departments, the Welsh Government, the Scottish Government, councils across the country, arms-length bodies, and several leading charities.Internationally, we work with major supranational organisations including the World Bank, UNICEF, the WHO, the OECD, and the European Commission, as well as a number of national governments in Europe, Africa, the Middle East and Asia.Who we want to work withWe are seeking a detail-oriented Data analyst to join our dynamic team. The ideal candidate will bring a solid foundation in data analysis, a strong command of Python and SQL, and experience with data visualisation tools. This role requires excellent communication skills and the ability to work collaboratively across multidisciplinary teams, including economists and client-facing stakeholders.Key Responsibilities:Analyse and interpret complex data sets to drive business insights and support decision-making.Write efficient, well-structured SQL queries and Python scripts for data extraction, transformation, and analysis.Design and develop compelling dashboards.Communicate findings and recommendations clearly to both technical and non-technical audiences.Collaborate closely with cross-functional teams, including economists and business stakeholders.Maintain high standards of documentation and data governance.Apply sound data analysis methodologies and statistical techniques to solve real-world problems.RequirementsEssential:University-level degree in Statistics, Computer Science, Engineering, or a related field.Previous professional experience in data analytics or a relevant role.Proficient in Pandas and SQL, with hands-on experience in data manipulation and querying.Good knowledge of Excel.Strong analytical, problem-solving, and critical thinking skills.Excellent communication and interpersonal skills.Detail-oriented, with a strong commitment to producing high-quality work.Comfortable working in a collaborative, team-oriented environments.Good working knowledge in English.Desirable:Familiarity with statistical modelling.Experience with data visualization platforms such as Tableau or Power BI.Working arrangementsYou will have the opportunity to make a significant contribution to the work we do from day one.Alma Economics is a friendly and informal place, and our offices are designed for both work and play. Our team consists of enthusiastic and talented individuals, who love learning and are always ready to support others.We do not have a one-size-fits-all WfH policy. Most staff members work from home for one or two days during a typical week, while it is also possible to arrange to WfH for more extended periods (e.g., 2-4 weeks) to visit family or travel.While most staff work 5-day weeks, for most full-time positions we also offer the option of a 4-day working week, either from day one or as an arrangement employees can transition into later in their Alma career.Our offices can accommodate disabled access, and we are committed to providing all necessary support to colleagues that require it, but we are also happy to consider remote working arrangements for applicants with disabilities or health conditions that prevent them from working on-site.We welcome candidates from all backgrounds and ensure that no one receives less favourable treatment on the grounds of age, gender, sexual orientation, disability or physical condition, marital status, race, or religion.