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Marketing Data Analyst - Reelgood

Marketing Data Analyst - Reelgood


Jornada Laboral:
Completa

Detalles de la oferta

Nuestro cliente Reelgood es un startup bien financiado de Silicon Valley que busca un Data Analyst para su departamento de Marketing. La posición es sólo para candidatos ubicados en Quito con excelente inglés hablado y escrito y trabajará remotamente junto al resto del equipo que también se encuentra en Quito, Ecuador.

El proceso de selección es manejado por Buscojobs.

Company Summary
Reelgood is the complete, unified guide to the world of online streaming content, with the ability to track & initiate all your content across 150+ streaming sources from a single interface. Reelgood currently has 2.5 million monthly users. Reelgood has a distributed team of 20 people across the world and is based in San Francisco. Our culture is result oriented and very flexible, we communicate constantly on “Always On” and via slack. Reelgood also has annual retreats for the team to work collectively. Reelgood employees have 20 days of PTO and a personal tech budget to use. Reelgood in the Press:

https://techcrunch.com/2019/12/06/reelgood-raises-6-75-million-for-its-universal-streaming-guide/
https://www.wsj.com/articles/the-internet-gave-us-great-tvnow-wheres-our-great-tv-guide-1538917200
https://www.businessinsider.com/tv-shows-like-stranger-things-dark-american-horror-story-2019-7

Job Overview
We are looking for a data analyst to join our team fully dedicated to supporting company objectives in SEO, marketing, PR, link-building, and data sales. You are ideal for the job if you are comfortable working with loosely defined problem spaces. Perseverance is second nature to you, and you aren’t phased if you have to go back to the drawing board when you get new insight or feedback that changes the direction of your work. You are excited about learning new concepts and technologies quickly. You love pop culture, media hacking, psychology, and using data to tell a story. The location is in Quito and an office at a coworking space will be provided.

Responsibilities
The data science and marketing teams you will join have the following responsibilities (among others):
Building machine learning models that are served in production to personalize any users experience and make our products smarter.
Packaging data and building statistical projections to take full advantage of our data for business purposes.
Querying data for general analysis and for research style posts.
Keeping up with what’s new or trending in our space, and proactively presenting the team with data we can use to capitalize on every opportunity.
Putting together compelling visuals or assets (using whatever software you are comfortable with) like charts and graphs that can easily be understood and interpreted by the average person.

Qualifications (Ideal)
Strong skills formally defining problems and then solving them with analytical rigor.
Strong skills presenting data graphically to convey the results of a particular project. Preferably using user friendly mediums like Google data studio.
Ability to communicate complicated results of data science across teams.
Experience using statistical computing languages to manipulate data and draw insights from large data sets.
Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience building cohesive and compelling narratives with complicated data sets.
Experience fetching/cleaning/normalizing data from a variety of sources for statistical analysis.
Strong exposure to relational databases.
Strong skills in conducting extensive research projects mainly focused on data, with the ability to find data outside the scope of what is easily available.
Proven experience with SQL on significant amounts of data and some experience with R or Python.


Nivel Jerárquico: Empleado

Salario Nominal: Desde $ 2000 Hasta $ 4000

Requisitos



Estudio Mínimo Necesario: Grado Terciario - Licenciaturas Completo

Marketing Data Analyst - Reelgood


Jornada Laboral:
Completa

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