(Senior) Data Analyst

About Euromonitor Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role The Analytics team is currently looking for a data analyst and programmer to work on improving Analytics process and code that is essential for Euromonitor’s internal Forecast Model process that supports the update of our internal Passport data. The successful candidate will have solid programming foundation in either Python or R , understand the cloud computing services and have a genuine interest in data analytics. Besides working on the internal Forecast Model process, the data analyst will likely be involved in our consulting projects that require similar skills. A typical consulting analytics project starts with the identification of our clients’ objectives. Then the most optimal solution is identified, given all available data and the client’s objectives. The proper data treatment is extremely important since it yields robust results during the solution development stage. The results presentation to a client concludes the project. Requirements What you’ll do • Development of a new and improvement of an already existing code that treats the data, performs various mathematical transformations and statistical computations. • Participation in internal peer review meetings and contribution to the best solution search process as well as giving comments on already created preliminary solutions • Draw conclusions based on the results • Monitoring for latest developments in the field to make sure we use cutting edge programming and cloud solutions • Proper documentation of each project and sharing best practices What we’re looking for • A relevant experience of at least 18 months is required for senior role. • Communication skills and English fluency (both oral and writing). • Excellent organisational skills and creativity. • Advanced R knowledge. • Advanced knowledge of SQL . • Ability to automate complex data analysis processes • Understanding of data flows, migrations , ETLs , pipelines, and other similar tools • Understanding of process scaling and parallelization. • Understanding on how to write a production-ready code. • Knowledge in econometrics, statistics and economics. • Knowledge of Dockers, Rest API, JSON data format would be an advantage • Knowledge of cloud computing services platforms providers (Azure, GCS, other) • Experience in SPARQL, JavaScript, HTML or similar would be an advantage • A genuine interest in Artificial Intelligence and related fields like data science and Machine learning would be an advantage. • The confidence and ability to take the post forward with the minimum of supervision. • M.A. degree in statistics, econometrics, data science, mathematics, economics , or similar field. Highly skilled candidates with a B.A. will also be considered. #LI-HYBRID #LI-RP1 Benefits Our values: We seek individuals who act with integrity We look for candidates who are curious about the world We feel that as a community, we’re stronger together We seek to enable people to feel empowered We welcome candidates who bring strength in diversity International: We have a multinational workforce and communicate daily across our 16 global offices. Hardworking and Sociable: Our staff balance hard work with enjoyment, offering flexible hours and regular social events, including after-work meetups, summer and Christmas parties. Committed to Making a Difference: Our Corporate Social Responsibility Programme provides two volunteering days annually; donation amounts for new starters and supports local and international charities through various initiatives. Excellent Benefits: We offer competitive salaries, private health insurance, and generous holiday allowances, amongst much more! Opportunities to Grow: We provide extensive training and development, promoting from within and across departments, and rewarding talent. Equal Employment Opportunity: Euromonitor International does not discriminate based on race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability, genetic information, age, membership in an employee organisation, or other non-merit factors