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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.
Key Responsibilities:
- 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
- Advanced R/Python 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.
- Flexible work time with the perfect work/life balance
- Competitive salary with wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks
- Intelligent and fun colleagues working in a constructive and inspiring atmosphere
- Salary: EUR 33,000 - EUR 40,000
Our values
- We act with integrity
- We are curious about the world
- We are stronger together
- We seek to empower
- We find strength in diversity
Hardworking but sociable: our staff know how to work hard but also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with.
Committed to making a difference: We think that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities.
Excellent benefits: we offer highly competitive salaries, healthcare insurance, food vouchers, saving fund, plus generous holiday allowances and in many offices a Core Hours policy allowing flexible start and finish times to each day.
Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our managers and directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
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