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SatoshiLabs

Data Analyst

Reposted 4 Days Ago
In-Office or Remote
29 Locations
Junior
In-Office or Remote
29 Locations
Junior
The Data Analyst will gather, transform, and analyze data from multiple sources to provide actionable insights through reports and visualizations.
The summary above was generated by AI

We invented the world’s first hardware wallet and created an entirely new industry. We set industry standards including Passphrases, Shamir Backup and Recovery seeds. We value transparency with open-source hardware and software, and we’re dedicated to securing individual freedoms and privacy. We are a self-funded, independent innovator. We are Trezor.

We’re looking for Data analyst to help us make better management decisions using information from our available data (e.g. product usage). The main task of the data analyst is to gather, and transform data from multiple sources, run statistical analysis or visualisation and communicate the findings in a clear and objective way.

👉 What will your duties be?
  • Understanding the product & business requirements in order to formulate the problems to solve and define the data needed to do so

  • Make sense data from various sources

  • Performing cleaning, transformation, and validation of data to ensure its quality

  • Exploring and visualising data

  • Performing statistical analysis to derive business insights

  • Clearly communicating the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations

✍️ What makes you the perfect candidate?
  • Experience with BI tools such as Tableau or Metabase

  • Proficiency in SQL and relational databases

  • Familiarity with cloud-based data platforms and warehouses (e.g. Keboola or Google Cloud, Snowflake or BigQuery)

  • Experience with app tracking tools (e.g., Google Analytics)

  • Strong problem-solving skills and attention to detail, independence, systematicity, reliability and thoroughness

  • Great (clear, factual) communication and teamwork abilities

  • Experience with product data is advantage

  • Experience with script language like Python or R for data analysis / data science and proficiency in some data visualization tools such as Matplotlib, Plotly, D3.js, ggplot, etc. are advantage

  • Experience with popular statistical and machine learning techniques, such as clustering, linear regression, KNN, decision trees, etc. is an advantage

🤝 What will you get in return?
  • Possibility to receive part of your compensation in bitcoin

  • Budget for professional development (training programs, courses, and workshops of your choice)

  • A lot of flexibility - you can set the ratio between coming to the office and working from home

  • Comfortable office space (including gym, foosball, billiard table, PS4, 3D printer, etc.) with free on-site parking

  • Friendly working environment, regular company events and fun get-togethers

  • Other benefits like a MultiSport card or company mobile phone tariff

👋 Sounds good? We want to hear from you: just submit your CV. We’ll definitely get in touch with you as soon as we review your application, most likely within a week.

Top Skills

BigQuery
D3.Js
Ggplot
Google Analytics
GCP
Matplotlib
Metabase
Plotly
Python
R
Snowflake
SQL
Tableau

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