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A leading technology consulting firm in Colombia is seeking a Junior Data Analyst to transform data into insights and support decision-making. As part of a collaborative corporate team, you will design machine learning models and perform statistical analysis. The ideal candidate will have a Master's degree in a relevant field and experience with data manipulation using Python. This role offers a dynamic work environment with the possibility to work remotely up to 2 days per week.
We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible.
Our process typically begins with a brief virtual/phone conversation to get to know you. The objective is to learn about you, understand your motivations, and make sure we have the right job for you.
This is followed by Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager and other people related to your future role.
We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities.
Depending on the position, we may ask you to take a Case study. This could be a role play, a technical assessment, a problem-solving scenario, etc.
Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfil your career expectations in a fast growing organization.
As a Junior Data Analyst, you will be part of our corporate team, working closely with various departments to transform data into insights and value-added solutions that support strategic decision making and improve performance across the organization.
We are proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Remote policy: Possibility to work remotely up to 2 days per week