Published date Posted on Indeed on Oct 12, 2021 (4 d ago)

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance (learn more about how it works). We're backed by A+ investors and our team is world-class, literally and figuratively, as we're all scattered around the world. Please check out our public handbook to learn more about our culture. We encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply. You can also check out independent reviews by other candidates on Glassdoor. If this job description resonates with you, we want to hear from you!

All of our positions are fully remote. You do not have to relocate to join us!

How we work

Remote is fully remote (ah!) and we love Working Async. This means you get to do your own schedule no matter the timezone. The Remote Engineering team uses a simple approach to productivity and task management and you can read more about it in The Remote Flow.

The position

This is an exciting time to join Remote and make a personal difference in the global employment space as a Marketing Data Engineer joining our Growth team.

We are looking for an experienced Marketing Engineering professional who is excited about working with marketing data and systems in the cloud. You should have a love of data, SQL, Python, Analysis and a great understanding of data administration.

Key responsibilities

  • Help us set up and run a best-in-class marketing data pipeline
  • Work with the relevant engineering teams to provide underlying structured data for analysis. This includes architecting and managing the collection, storage, extraction, transformation, load, and querying of data across an evolving and diverse Martech stack:
    • Hubspot (CRM)
    • SFDC (CRM)
    • Funnel / Meltano (ETL) for ad platforms
    • Segment (CDP)
    • GA (Web)
    • GCloud ->Big Query (Query)
  • Run advanced statistical quantitative analysis.
  • Assist with data visualisation and representation as needed.

Requirements

  • Masters in a technical subject (Computer Science, Programming, Statistics) or equivalent relevant experience.
  • Experience designing, building and running a cloud-based data pipeline for a marketing function. Segment experience an advantage.
  • Strong Python / R, and SQL skills
  • ETL, dashboarding skills.
  • Strong debugging and problem-solving skills.
  • Able to work and make decisions independently.
  • A kind, empathic, and patient person.
  • Someone who loves working with people and solving problems with them.
  • One who cares deeply about diversity and inclusion.
  • Fluent written and spoken English.
  • It's not required to have experience working remotely, but considered a plus.

Remote Compensation Philosophy

Remote’s Total Rewards philosophy is to ensure fair unbiased compensation and fair pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labour practices and therefore pay a minimum annual salary of USD 40,000 per year, in all locations throughout the world. Actual compensation may vary based upon geographical location, experience, and/or skill level. However, it will never be below our minimum global compensation mentioned.

Benefits

You can learn more about the benefits we're offering to all internal employees at Remote by visiting our public Benefits & Perks Handbook page.

Practicals

  • You'll report to: Sr. Marketing Analytics Manager
  • Team: Growth
  • Location: Anywhere in the World
  • Start date: As soon as possible

Application process

  • (async) Profile review
  • Interview with recruiter
  • Interview with future manager
  • Interview with team
  • (async) Offer

How to apply

Please fill out the form below. Don't forget to add your CV (ideally as a PDF) and a cover letter (at most a single page) explaining why do you think there's a match between this particular role and your profile. Thank you!


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