Data Analyst at Volantio – United States (Remote)

Dataleum; Snowflake (AZ); Remote; USD 70,000 - 100,000; Full time

Job summary

A leading company in the airline industry is seeking an analytical Data Analyst to join their remote team. This role involves querying and visualizing large datasets, building Looker dashboards, and translating complex findings into actionable insights for business decisions. The ideal candidate will have proven experience in data analytics, strong SQL skills, and a collaborative mindset towards continuous learning.

Qualifications

• Proven experience in a Data Analyst role.
• Strong command of SQL and experience with complex datasets.
• Ability to work independently in a remote environment.

Responsibilities

• Build and maintain Looker dashboards for reporting needs.
• Write SQL queries across large datasets.
• Conduct exploratory and root-cause analyses.

Skills

SQL

Data Analysis

Data Visualization

Python (Pandas/Numpy)

Looker

Communication

Education

Experience as a Data Analyst

Tools

BigQuery

Snowflake

Redshift

Job description

Description
Volantio is the world’s leading post-booking revenue management platform, trusted by major airlines and capacity-constrained enterprises globally to drive value in the post-booking window. We optimize revenue, improve customer satisfaction, and augment resiliency for our partners by leveraging data and the latest technologies.

We’re seeking a curious and analytical Data Analyst to join our team – someone who is comfortable working with large, complex datasets and translating findings into clear, meaningful stories. You’ll be responsible for querying, analyzing, and visualizing data that shapes our roadmap, help airline partners understand performance, and support decision-making across product, commercial, and operations teams. In this remote position, you’ll transform raw data into actionable insights that drive business decisions through reports, dashboards, and comprehensive analyses. This role will be critical to helping us deliver even greater impact to our customers.

Requirements
Key Responsibilities

• Build and maintain Looker dashboards and data models that support key internal and customer-facing reporting needs
• Write performant, accurate SQL queries across large datasets (e.g., passenger-level data, offer-level outcomes, revenue impact models)
• Partner with product and commercial teams to identify metrics that matter — and ensure they’re measurable and explainable
• Use Python (Pandas/Numpy) for more advanced or custom analytics not easily handled in SQL/Looker
• Conduct exploratory and root-cause analyses to help understand business trends, anomalies, and outcomes
• Collaborate with data science and engineering to validate datasets and improve data quality
• Deliver ad-hoc and scheduled reports for both internal stakeholders and airline partners
• Work with airline partner data (bookings, revenue, disruptions, etc.) to support ROI reporting and performance narratives
• Document key definitions and metrics to support a shared data language across the company
• Document processes and maintain data dictionary

Required Qualifications

• Proven experience as a Data Analyst or similar role
• Strong command of SQL — especially working across complex, relational datasets
• Experience with Looker (explores, dashboards, LookML a plus)
• Comfort working in a cloud data environment (e.g., BigQuery, Snowflake, Redshift)
• Ability to synthesize and communicate complex data clearly to non-technical audiences
• Ability to work independently in a remote environment

Preferred Qualifications

• Knowledge of statistical analysis and data visualization best practices
• Understanding of data warehouse concepts and ETL processes
• Experience in A/B testing and experimental design
• Experience using Python, especially with Pandas or Jupyter Notebooks, for data analysis and light scripting

What We Value

• Curiosity and a desire to dig deep into the data
• Proactive approach to identifying insights and opportunities
• Ability to balance attention to detail with big-picture thinking
• Commitment to continuous learning and staying current with data analysis trends
• Collaborative mindset and strong communication skills
• Adaptability and openness to change when the circumstances require it