At FL3XX, we solve the biggest problems in business aviation: How to save time in your daily workflow.
We do this with a global team of aviation enthusiasts made up of aerospace engineers, aviation software designers and platform developers supported by product, sales and marketing specialists.
We are on a mission to enable a world where anyone can fly anywhere on short notice. We therefore automate and optimize the entire process, thus enabling you to make quick and informed decisions.
Job Description
This is a remote position.
We have an exciting new opportunity for a Data Scientist / BI Engineer to join the BRIGHT team and help evolve FL3XX’s embedded business intelligence platform.
You will play a key role in improving our historical BI dashboards (powered by Amazon Quick Suite) and making our aviation data more actionable for mid-to-large operators. The role is autonomous, hands-on, and gives you real ownership over a product used daily by charter, fractional, and aircraft management companies.
This position is based in Vienna, Austria, or fully remote.
Your Responsibilities
* 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.
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).
Nice-to-Have (but very welcome)
* Domain knowledge in aviation, fleet management, or travel operations.
* Experience with Amazon Q (topics, synonyms, generative BI) or similar NLQ tools.
* Familiarity with data prep/joins in QuickSight or similar BI tools.
* Exposure to boto3 automation for QuickSight assets or S3/Redshift operations.
* Previous work on paginated / pixel-perfect reporting.
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