Um Projeto: Fundação Estudar

Data Analyst, Intern

Udacity

CANDIDATE-SE

Udacity

Join one of the most exciting companies in Silicon Valley that is poised to disrupt the way we live our daily lives. Named CNBC’s Top 50 Disruptors and on its way to becoming the brand for the way we learn to get jobs, Udacity is looking for people to join its Data team to have a 10X impact on the world. If you love a challenge, can take risks and truly want to make a difference, read on.

At Udacity, our mission is to democratize education. We aim to bring accessible, affordable, engaging, and highly relevant higher education to the world. We believe that education is no longer limited to four years or four walls – it’s a lifelong pursuit. Technology is advancing rapidly, and there is a growing skills gap between job-seekers and career opportunities that Udacity is dedicated to closing through education. To do this, we’re rethinking how education is made and delivered by empowering our students to advance themselves personally and professionally, and help them land their dream job.

The Data Analyst Intern will report to the Student Services Director and work closely with the Udacity Marketing, Services and Engineering Teams for a internship owning and contributing to several projects! You’ll learn how to provide rigorous data analysis to help shape and optimize our student acquisition funnel and our Nanodegree programs.
Responsibilities:

Build dashboards and tools that provide insight around key metrics for our Marketing and Student Services teams, including enrollments, engagement, leading indicators, and more.
Ad hoc analysis and data modeling to understand and predict behavior trends, in order to optimize growth and engagement
Provide organizational support to ensure data integrity, consistent data definitions, and efficient data storage.
Collaborate with cross-functional team members including product managers, and other software engineers to deliver compelling products/services
Requirements:

A current college student in engineering, computer science, applied math, statistics, or related technical field
Strong attention to detail
Ability to take direction and feedback, but also work independently as needed
Experience with at least one scripting language (e.g. Python)
Experience with at least one statistical software package (e.g. R, Pandas)
Experience with relational databases and SQL
Experience with Udacity free courses or Nanodegree programs is a plus
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Observação: Essa oportunidade é de responsabilidade da empresa anunciante e, portanto, a execução de seu processo seletivo e o contato com os candidatos são feitos pela própria anunciante, e não pela equipe do Na Prática.

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