Data Engineer – Process Analysis (Mid Level) in Niuro

FULL_TIME

  Remote (Chile) | Senior | Full time | Data Science / Analytics

Gross salary $2500 - 3000 USD/month

7 applications
Replies between 1 and 3 days
Last checked today
Niuro is a company dedicated to connecting projects with elite technological teams, collaborating with leading companies based in the United States. Our mission is to simplify the global acquisition of technology talent through innovative solutions that optimize efficiency and quality. We provide autonomous, high-performance technical teams that specialize in partnering with top-tier U.S. companies. Our focus is on enabling continuous professional growth by offering training in both technical and soft skills, as well as leadership development opportunities. We manage all administrative operations, including hiring, payroll, and training, so our teams can focus exclusively on delivering exceptional technical results. Through a collaborative environment and an emphasis on talent development, we strive to help our professionals realize their full potential.

Key Responsibilities

As a Data Engineer specializing in process analysis, your role will focus on supporting and improving operational processes within industrial environments, with a particular emphasis on the hydrometallurgical sector. Your core responsibilities will include the collection and documentation of critical process parameters, continuous monitoring and control of variability in those process metrics, and the execution of detailed statistical and trend analyses. You will also be responsible for process balancing and inventory management, including maintaining inventories of strategic inputs and spare parts essential to operations. Additionally, you will generate comprehensive operational reports that drive informed decision-making and propose initiatives aimed at continuous process improvement. Your role involves collaboration on software development efforts that facilitate data analysis and process efficiency. Importantly, you will provide innovative suggestions based on data insights to enhance operational performance and drive forward-looking improvements across the industrial processes.

Requirements

Education: Candidates must hold a degree as a civil or applied engineer specializing in chemical, metallurgical, or mining engineering, or alternatively, a bachelor's degree in mathematics or physics.
Experience: Applicants should have at least one year of hands-on experience applying data science principles to hydrometallurgical or industrial process environments, demonstrating a solid understanding of industrial operations and data-driven analysis.
Technical Skills: Advanced programming abilities in Python and Visual Basic are essential for this role, accompanied by strong proficiency in Microsoft Office, especially Excel. Experience working with the PI System, including Asset Framework (AF) and Data Archive components, at a user level is crucial. Candidates must have a robust knowledge of data science methods and mathematical modeling techniques applicable to process improvement and analysis.
Other Requirements: Due to the nature of the role and collaboration needs, residence in Chile is mandatory.

Desirable Skills and Experience

While not explicitly stated, candidates with additional experience in advanced statistical software, data visualization tools, or knowledge of other process automation technologies would find their skills highly complementary to this role. Familiarity with other industrial data management systems or frameworks, along with a background in continuous improvement methodologies such as Six Sigma or Lean Manufacturing, would also be beneficial. Strong analytical problem-solving skills, adaptability in dynamic environments, and excellent communication abilities to translate technical data for operational teams would enhance effectiveness.

What We Offer

We provide involvement in impactful, technically rigorous industrial data projects that foster both professional growth and sectoral innovation. Our work environment is highly process-focused and technically solid, encouraging collaboration and continuous innovation. Niuro offers the flexibility of 100% remote work within Chile, allowing team members to work from the location that suits them best.
We are committed to supporting career development through ongoing training and leadership opportunities. After successfully completing a trial period, candidates receive stable full-time employment, reinforcing our long-term investment in talent. Joining Niuro also means becoming part of a global community dedicated to excellence in technology, all supported by robust administrative infrastructure to enable focus on impactful work.

Partially remote You can work from your home some days a week.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Chile.

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About Niuro

Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality. — Niuro's full profile

Data Engineer – Process Analysis (Mid Level)
Niuro •   Remote (Chile)
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