Principal Data Analyst @ Sunscrapers

2 tygodni temu

Warsaw, Polska Sunscrapers Pełny etat

Principal Data Analyst with leadership experience 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.

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
Principal Data Analyst with leadership experience 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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