Analytics Engineer

Worldwide | Nov. 13, 2026

Report as Closed

Company: Artefact LatAm

Country: Worldwide

Salary: $18,000 - $24,000

Type: Remote

Employment: Full-time

Description: Artefact is a leading global consultancy dedicated to accelerating the adoption of data and artificial intelligence to generate a positive impact on people and organizations.

At Artefact LatAm, we are a leading consulting firm focused on accelerating the adoption of data and artificial intelligence to generate positive impact

As Tech Manager, you will lead the technical vision and strategic execution of advanced solutions in Data Engineering, BI and AI, guaranteeing scalable and high-impact architectures. You will be the catalyst for complex digital transformations, managing multidisciplinary teams and acting as the critical bridge between clients' business objectives and technological innovation. Your approach will integrate excellence in delivery, data governance and talent development, consolidating global standards that position the company as a technical benchmark in the market.

• Training in Industrial Civil Engineering/Mathematics/Computing, or related career
• 1 to 2 years of work experience in:
  • BI Projects
  • Visualization tools such as PowerBI, Tableau, QikView or others
  • BI solutions in cloud environments (for example, Azure and Power BI Service)
  • Data sources (SQL Server, MySQL, API, Data Lake, etc.)
  • Development of queries in SQL
  • Development of data models for analytical uses and ETL programming
• Professional English

We are Artefact, a leading global consultancy in creating value through the use of data and AI technologies. We seek to transform data into commercial impact throughout the entire value chain of organizations, working with clients of various sizes, sectors and countries. We are proud to say that we are enjoying significant growth in the region, and that is why we want you to join our team of highly trained professionals, in order to address complex problems for our clients.

Our culture is characterized by a high degree of collaboration, with a constant learning environment, where we believe that innovation and solutions come from each member of the team. This drives us to action, and generate deliverables of high quality and scalability.

• Collect and analyze data from various sources to identify patterns and trends. Extract significant insights to understand the current and future performance of the business.
• Create data models adapted to different projects and sectors.
• Create and optimize reports, panels and dashboards for effective presentation of information, using BI tools such as Tableau, Power BI or QlikView.
• Identify opportunities for process improvement through data analysis.
• Maintain and update databases to guarantee their integrity and quality.
• Provide training and support to the team in the use of Business Intelligence tools. Collaborate with diverse teams to create comprehensive solutions. Understand customer needs and propose improvements and proactive solutions.
• Monitor data science and machine learning models. Maintain data quality in information flows. Manage the security and scalability of cloud BI environments.

• Budget of 500 USD per year for training, whether courses, memberships, events or others.
• Rapid professional growth: A mentoring plan for training and career advancement, evaluation cycles for increases and promotions every 6 months.
• Up to 11 days of additional vacation time than legal. This to rest and be able to generate a healthy balance between work and personal life.
• Participation in the company's profit bonus, in addition to bonuses for referred workers and for clients.
• Half-day off for birthdays, as well as a small gift.
• Fortnightly lunches paid for with the team in our hubs (Santiago, Bogotá, Lima and Mexico City).
• Time flexibility and work per day. objectives.
• Remote work, with the possibility of becoming hybrid (Office in Santiago de Chile, paid Cowork in Bogotá, Lima and Mexico City).
• Extended Post Natal for men, and difference coverage paid by the health system for women (Chile)

...and more!

• Knowledge of Python or R
• Management of Big Data in order to establish reporting

Apply here:

Web: Apply here

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