Curriculum Engineer Data Analytics - Barcelona, España - Ironhack

Ironhack

Empresa verificada

Barcelona, España

hace 2 semanas

Publicado por:

Isabel García

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Descripción

#About Ironhack

Ironhack is an edtech company that was founded to disrupt the way tech education works We are a global marketplace for tech talent, where we offer bootcamps and partner with companies to empower students to create a new career path in tech, get that next promotion, or start their own company.

Quick facts:

Operations in 10 locations worldwide
Graduated over students
200+ global team members
Venture capital backed

#Why join Ironhack
Our culture is characterized by collaboration, which is the way we roll.

We like to take on challenges with a smile on our face We work in flat hierarchies with open communication.

Join Ironhack and we guarantee a bootcamp-paced learning experience in a high growth environment, where together we can change the future of education

Our global benefits:

Learn to code, design, or analyze data: Enroll in our parttime courses for free
Flexible work environment (and remote friendly depending on role)
A mentor the first 3 months of onboarding
Individual career development plans with courses to help you build new skills
Amazing events with our students, teambuilding activities and company retreat

#About the gig
A large part of the success of Ironhack depends on the curriculum and educational experience of the student.

The Curriculum Engineer is a critical role to ensure we have best-in-class educational outcomes and content, ensuring that our programs lead to high student satisfaction and success.

We're looking for a Data Analyst Curriculum Engineer that will take our Data Analytics program to the next level. The Curriculum Engineer will report to the Education Team Manager, and is based in Spain while being remote-friendly.

#Responsibilities

Create engaging instructor

- and student-facing content for our Data Analytics courses including lessons, exercises, labs, mini-projects, and more

Implement data pipelines and insight for understanding how we measure and improve our curriculum's effectiveness and relevance via assessments and classroom insights
Architect and implement data

- and outcomes-driven educational program and be aggressively passionate about ensuring quality and outcomes

#Requirements:

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Energised by education: You love creating learning materials, finding ways to innovate and improve on ways to improve student attainment. We're looking for people that enjoy teaching/mentoring others, that are involved in the community, and are as comfortable teaching in a classroom as they are debugging a Python script.
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Great communication skills: you're able to listen, share ideas, convey your ideas with clarity and confidence and build productive relationships with your colleagues
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Teaching/mentorship/leadership: you have experience teaching others to develop new skills and knowledge in data analysis and/or science. You're also able to work with teachers and local teams to change and innovate how teaching and learning are done
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Creating educational materials: you're able to:

Make lesson plans
Design a syllabus
Create learning and assessment activities
Design engaging learning experiences (inclass, hybrid, remote (think Zoom, and elearning)

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Languages: Excellent written and spoken English and ideally, another language such as Spanish, Portuguese, French or German
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A can-do attitude and a good sense of humor.
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Growth mindset and an eye toward continuous improvement
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Technologies, tools, & skills with professional experience**:

Competent in data analytics frameworks (Numpy, Pandas, Juypter)
Data visualization and telling stories with data (e.g. Tableau)
The problemsolving mentality around data analytics
Statistics (Inferential, descriptive)
Python (2+ years)
Git (1+ years)
SQL databases (2 + years)
Machine Learning (e.g. SciKit Learn, TensorFlow)
Familiarity with big data endtoend pipelines
Understanding of RESTful APIs and Web Scraping

Nice to have:

Knowledge of intermediate to advanced statistics (Probability theory, Distributions, etc.)
Familiarity with data analytics tools, e.g., R, MatLab, PowerBI

Department

Education

Locations

Barcelona

Remote status

Fully Remote

Employment type

Full-time