Senior Data Analyst / Senior BI Analyst
New
R
RestaumaticData analytics
Zdalnie/ hybrydowo/stacjonarnie (w zależności od Twoich preferencji)Full-TimeSenior
Salary16,000 - 21,500 PLN per month
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Job Details
- Languages
- En B2
- Experience
- Minimum 2 lata doświadczenia na stanowisku Senior Data Analyst, Senior BI Analyst lub pokrewnym.
- Required Skills
- AWSPythonSQLGoogle AnalyticsTableauGrafanaData modeling
Requirements
- Have at least 2 years of experience as a Senior Data Analyst, Senior BI Analyst, or in a related role.
- Demonstrate very good SQL skills, including query optimization and analysis of complex data models.
- Have experience with BI tools, particularly Tableau, Looker Studio, Grafana, or similar tools.
- Know Google Analytics and Google Tag Manager.
- Understand data modeling and the creation of scalable, useful analytical structures.
- Be able to organize work independently, prioritize tasks, and manage analytical projects end to end.
- Be able to communicate complex data clearly to non-technical people.
- Have aspirations to take on a leadership role in the future.
- Nice to have: experience with analytical databases such as DuckDB and Iceberg-format data.
- Nice to have: experience with dbt.
- Nice to have: Python and data analysis libraries.
- Nice to have: AWS ecosystem experience, including Glue or Athena.
Responsibilities
- Build and develop the organization’s data ecosystem.
- Identify, source, and integrate data needed to analyze processes and support business activities.
- Model data and create logical analytical layers that make data easy to use.
- Design and create reports and dashboards using BI tools such as Tableau or Looker Studio.
- Conduct in-depth ad hoc analyses and prepare recommendations for business decisions.
- Work with product, marketing, sales, and operations teams to understand their needs and deliver insights.
- Participate in optimization projects and support A/B tests.
- Ensure data consistency, quality, and availability across the organization.
- Educate teams on using data and analytical tools.
- Be ready to launch and scale the Data Department in the future.
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