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. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Please take a look at remote.com/handbook to learn more about our culture and what it is like to work here. Not only do we encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply, but we prioritize a sense of belonging. You can check out independent reviews by other candidates on Glassdoor or look up the results of our candidate surveys to see how others feel about working and interviewing here.

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

What this job can offer you

• Data Analysis: support Operational Analytics team (incl. Customer Experience, Onboarding & Mobility, Lifecycle, People and others) by creating an ad hoc data reports and interactive dashboards using SQL and / or Metabase.
• Data Exploration & Quality: contribute to a culture of higher standards by discovering, documenting and working towards improving the quality of our data.
• Data Modelling: collaborate with data engineers and other data analysts and contribute to building the modelling layer of our data warehouse.
• Collaboration: collect requests from stakeholders and translate them into meaningful data. Collaborate with data engineers and other data analysts to create high-quality reports.

Our current core data stack (among other tools) contains Metabase, Retool, dbt, Redshift, Meltano, Airflow and GitLab.

What you bring

• 1-2 years work experience in statistics, data analytics, software engineering or a related field; ideally in a fast-paced environment.
• Strong ability to collaborate and build effective relationships with your colleagues.
• Excellent communication skills and ability to document processes for both business and technical audiences.
• You have a good knowledge of SQL and you know how to work with relational databases such as PostgreSQL and / or Redshift.
• You know how to work with BI tools like Metabase, Looker, Tableau or similar.
• Preferably, you know Git and have a basic knowledge of dbt.
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment.
• You are a kind, empathetic, and patient person.
• It's not required to have experience working remotely, but considered as a plus.

Practicals

• You'll report to: Manager, Data Analytics
• Team: Data, Engineering
• Location: Anywhere in the World, but because of the team’s diversity we will prioritise APAC based candidates
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

Application process

1. Interview with recruiter
2. Interview with future manager
3. (async) Small challenge
4. (async) Challenge Review
5. Interview with team members (no managers present)
6. Prior employment verification check(s)

#LI-DNI

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:

• work from anywhere
• unlimited personal time off (minimum 4 weeks)
• quarterly company-wide day off for self care