Principal Data Analyst @ Sunscrapers
1 month ago
What's important for us?
- At least 7 years of professional experience as a data analyst/engineer
- Proficiency in Python
- Excellent experience of complex SQL query writing on Snowflake or alternatives
- String experience with BI tools like Looker, Tableau, Sigma
- Good expertise in relational databases, especially PostgreSQL
- Expertise in DBT and DBT Cloud
- Proficiency in data architecture and modeling
- Excellent communication skills, written and verbal
- Passion about good engineering practices and ability to inspire the team
- Experience with Git version control systems
- Passion, self-reliance and ‘get things done’ approach
- Proactiveness and positive attitude to work (and life:))
- Fluent English (C1 or above)
- Intellectual curiosity and interest in venture & startups
- Self-drive and passion for taking ownership of your work and delivering outcomes
- Ability to demonstrate high self-sufficiency to take on and lead projects end to end
You will score extra points for:
- Team or project leading experience
- Expertise in Snowflake, Redshift, BigQuery or Databricks
- Ability to design, implement and monitor data pipelines, ETL/ELT processes
- Proficiency in AWS cloud, especially ECS, Lambda, SQS, DynamoDB, S3, RDS
- Experience with infrastructure and deployment automation with Terraform
- Experience with Airflow
- Experience with NiceGUI or alternatives like Streamlit
As a Principal Data Analyst you’ll design and implement a system supporting the investment process for the US-based venture capital firm. You’ll need to integrate data from multiple systems and sources to enable data insights, machine learning and data-driven decision processes.
,[Work hands-on with data capture, data extraction, analysis, reporting, and visualization to drive data-driven decision-making , Working closely with the product team in US (east and west coasts) , Proactivity in finding solutions based on discussions with product and data engineering teams , Translating business needs into technical requirements , Partner with stakeholders to resolve key data issues involving the quality and consistency of data for analytical purposes , Enhance the organization's capabilities for self-service data and analytics , Build and manage data visualization in BI tooling , Tackling most challenging technical problems and finding solutions , Rapidly iterate based on team feedback and quickly produce useful results and tooling ] Requirements: Data visualization, Python, SQL, Snowflake, BI, Looker, Tableau, Relational database, PostgreSQL, dbt, Cloud, Communication skills, Git, Redshift, BigQuery, Databricks, Data pipelines, ETL, AWS Cloud, ECS, AWS ECS, AWS Lambda, Amazon SQS, AWS DynamoDB, AWS S3, Amazon RDS, Terraform, Airflow Additionally: Remote work, MacBook, Knowledge sharing, Flexible working hours, Competitive compensation, Sport subscription, Private healthcare, Flat structure, Small teams, International projects.-
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