Analytics Engineer

LATAM

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Capchase

Flexible SaaS funding, fast capital, B2B BNPL, and non-dilutive growth financing from experts in SaaS and high-growth startups.

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Capchase is the growth partner for ambitious software-as-a service (SaaS) companies. Our mission is to help founders grow their businesses faster through non-dilutive capital, market insights and community support. To carry out this mission, we've received $700M+ in funding from some of the best VCs in the space like 01A Advisors (BrightHire, Master Class),  Bling Capital (Airtable, Gitlab, Lyft, Square), SciFI (Stripe, Brex), Caffeinated (OpenDoor, Airtable) and QED (Nubank, Klarna).
In a little over two years, we’ve provided billions in funding to thousands of companies, expanded operations to ten countries in the US and Europe, and grown our team from four co-founders in May 2020 to 110 Capchasers today.
Since our launch in 2020, we’ve achieved several milestones:➡  3K+ companies registered💰 More than $2 billion in funding made available to the best software companies across the US and Europe 🏃 5,000 plus months additional runway generated 🙌 Over 100 Capchasers working across 14 cities around the world representing over 20 nationalities 🌎 10 countries in which we operate 📈 2,300% annual company growth👫 Built an awesome culture.�
An analytics engineer is a position that can own the Analytics requirements end to end. This means transforming the raw data in ways that abstract the technical complexities into a way that can be consumed. On top of that, this position should be able to expose this data to Looker for business.

🧠 The Must have:

  • Experience with modern data warehousing technologies (Bigquery, Snowflake, Redshift).
  • Proficiency in SQL.
  • Experience working with some BI tools already (Looker, Tableau, Metabase, HiSense, ...) Especially if the candidate has either own maintenance of the tool / implemented it from scratch / had a predominant role of developing on this.

💡 The Nice to have:

  • Be very experienced in Looker.
  • Experience having used SQL-based data transformation tools such as DBT or Dataform

📊 Useful info

  • 100% remote. We do have an office in Madrid and Barcelona, so if you are in the area you can work from there as well.
  • Flexible hours
  • Benefits depending on Location
  • Stock options.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Tags: Airtable BigQuery Data Warehousing GitLab Looker Metabase Redshift Snowflake SQL Tableau

Perks/benefits: Equity Flex hours

Regions: North America South America
Job stats:  10  2  0

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