THE FOUNDATION OF YOUR OPERATIONS
Data Scientist
Location
Austria
Posted
107 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Scientist
FL3XX
• Build, maintain, and improve Quick Suite dashboards, analyses, datasets, and Paginated Reports for aviation KPIs (revenue, fleet utilization, delays, crew duty, etc.). • Use SQL to query and validate data from our Redshift layer and underlying PostgreSQL sources. • Perform data cleaning, outlier detection, and light transformation. • Create and manage QuickSight namespaces, users, folders, permissions, and Row-Level Security rules. • Own parts of the ETL pipeline: monitor refreshes, debug failures, and help prepare for incremental / future Spark-based processing. • Segment and prepare data to support operator-isolated dashboards and targeted reports. • Identify, investigate, and resolve data quality issues and discrepancies (e.g., duplicate records, freshness alerts). • Add and test new calculated fields and data sources to meet evolving reporting needs. • Communicate insights clearly through visualizations, annotated screenshots, and concise one-pagers to sales, product, and management teams. • Collaborate with the Product Owner and management to translate business requirements into practical BI deliverables.
Job Requirements
- University degree in Computer Science, Data Science, Statistics, or equivalent practical experience.
- Strong analytical mindset and proven ability to manipulate and interpret large datasets.
- Proficient in SQL (complex analytical queries, CTEs, window functions) and Python (pandas, boto3 preferred).
- Hands-on experience with Amazon QuickSight (or Quick Suite) — ideally 2+ years building dashboards, datasets, calculated fields, RLS, and (bonus) Paginated Reports.
- Good understanding of data governance, data quality, and multi-tenant isolation concepts.
- Excellent written and spoken English — you can explain complex topics clearly and concisely.
- Curious, eager to learn, and proactive about acquiring new skills.
- Ability to summarize findings and create intuitive, insightful visualizations (portfolio or examples strongly preferred).
- Comfortable working collaboratively with product, engineering, sales, and management teams.
- Structured, rigorous, and detail-oriented in delivery — you finish what you start.
- Experience with ETL processes and working with large datasets (Redshift, S3, or similar cloud warehouse experience a plus).
Benefits
- Health insurance
- Flexible working arrangements
- Professional development
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