What this job can offer you

• 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.
• Data Analysis: support Operational Analytics team by creating an ad hoc data reports and dashboards.
• 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

• 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.
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment.
• Strong experience in SQL and previous experience with dbt.
• Strong experience with Metabase or other data visualisation tools.
• Proficiency with Git.
• It's not required to have experience working remotely, but considered as a plus.

Practicals

• You'll report to: Manager, Data Analytics
• Team: Data
• Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify; Argentina, South-Korea, New-Zealand
• 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 exercise stage 
4. Interview with team members (no managers present)
5. Prior employment verification check (Read more at remote.com/employment-checks)
   
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