Rarefied talent in big data technology and analytics

Remote Analytics Engineer

FluentU

Job Description

Are you an analytics engineer looking to take the next step in your career?

Are you looking for a company where DBT is central to their data workflow?

Are you looking for a company where remote is built into the company DNA, and not coronavirus-induced?

Do you want to work at a company where the leadership is engaged with BI and sees it as a strategic priority?

Do you want a central role in crafting the BI strategy, and building a data team?

Do you want to reach and make a positive impact on millions of people?

Note: we're also hiring for other positions

This job might be for you if you:

  • like being able to set your own hours and work from home
  • like exercising your creativity and experimentation
  • like having responsibility
  • like working collaboratively
  • like having a dependable, reliable stream of work
  • want to make the world a better place
  • are comfortable with a fast-changing environment.

You should NOT take this job if you:

  • have a strong need/desire for in-person social interaction at work
  • dislike asynchronous communication
  • like following instructions and being told what to do
  • don't like needing to come up with ideas
  • don't have a real interest or experience in online education.

ABOUT US

FluentU is an online education company that helps people learn languages with real-world videos, including movie trailers, music videos, news and inspiring talks. We have a website, iOS app (usually among the top 50 grossing iOS education apps), and Android app. Founded in 2011, we’re a profitable, stable company with long-term focus, and we’re proudly self-funded. And we've been remote/distributed since day one.

We get 5 million visitors per month on our blogs, 100,000+ people on our email list, and many more receiving web and mobile notifications.

This is a unique opportunity to play a pivotal role on our business intelligence strategy, which is still in the early stages. We've worked with a reputable consultancy until now, and you'll be our first dedicated hire focused specifically on BI data engineering, empowered to build a program from the foundation up.

JOB DESCRIPTION

As our first analytics engineer, you will be responsible for:

  • working in an agile/kanban style methodology while balancing long-term data modeling & infrastructure planning
  • interpreting & executing analytics feature requests from senior stakeholders
  • planning & documenting work to be done, with regular feedback to stakeholders to minimize unnecessary work
  • maintaining & improving the entire data pipeline from start to finish, from extracting data from SaaS API's to configuring display options/creating charts for end users in Looker, eg:
    • using data-extractor-as-a-service tools such as Stitch to extract data on a scheduled basis & oversee automated loading behavior
    • Creating & maintaining proprietary extraction tools, such as Bash scripts on Google Cloud instances
    • managing the DBT ETL pipeline
    • acting as Looker Admin (development, security & administration)
  • Using software engineering best-practices (such as version control, component-based software/architecture, DRY code etc).
  • Implementing testing frameworks & subjecting all work to QA

You would work closely with the founder of FluentU and our other leadership.

HOW WE WORK

We’re a 100% distributed/remote team. Here’s a little bit more about how we work:

  • Almost all of our communication is text-based (mostly via Asana) and we value clear communication, among other things.
  • Most things are not urgent. We take pride in having a calm work environment.
  • We also have a flat collaborative environment.
  • We make decisions based on logic/reason.
  • We believe in getting things done and continuous improvement.

QUALIFICATIONS

Our ideal candidate:

  • can work in a fast-paced environment and be responsive to new requirements
  • is terrific at written communication
  • can explain technical concepts to a non-technical audience
  • understands basic principles around content marketing
  • is comfortable managing their own time and workflow independently
  • can juggle multiple projects & work streams concurrently
  • has most or all of the following technical skills:
    • experience working collaboratively using Git
    • has strong SQL skills (we use BigQuery Standard SQL)
    • understands data modelling concepts, à la Kimball dimensional modelling
    • exceptional understanding of data manipulation (ie joins, data granularity, referential integrity, uniqueness/primary/foreign keys etc)
    • some knowledge of sql database performance
    • Looker, dbt & google cloud knowledge (can be easily learned if you possess the above skills)
    • ideally linux/cloud architecture & python skills but these are not mandatory.
  • has a deep interest in language learning or online education.
  • is able to work a minimum of 25+ hours per week (pay is hourly) and is looking for something long-term.

HOW TO APPLY

Please click here and fill out the form.

Interested in this position?
Company Website
Additional Job Details
Employment Type:
Full Time