Data Scientist

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🕒 February 26

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FL3XX

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

☁️ SaaS

🚗 Transport

🤝 B2B

💰 Series unknown on 2010-02

SaaS • Transport • B2B

FL3XX is a cloud-based aviation operations platform that provides end-to-end management for business and commercial aviation operators. The platform automates charter sales, flight dispatch, crew scheduling, maintenance tracking, trip support and regulatory compliance, and integrates with marketplaces and third-party services to support Part 135 charter, corporate flight departments, air ambulance, cargo and scheduled airlines worldwide. FL3XX is positioned as a SaaS backbone for global business aviation, enabling quoting, resource planning, reporting and connected services across multiple regions.

📋 Description

• 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).

🏖️ Benefits

• Health insurance • Flexible working arrangements • Professional development