📍 Location: Remote (EU-based)
📈 Level: Senior
🔗 Type: Full-time
At Nuvolar, we’re driven by purpose, integrity, and the pursuit of excellence, and we’re looking for a Senior Data Analyst to join an ambitious and impactful project in the airport operations and transportation industry.
You’ll help transform complex, fragmented operational data into actionable insights that directly improve efficiency, passenger experience, and decision-making. This role is more than crunching numbers; it’s about telling compelling data stories that make a real difference.
🧠 What You’ll Do
As part of a cross-functional team, you’ll collaborate closely with stakeholders and customers to design analytics solutions that address real operational challenges. You’ll craft interactive dashboards, perform deep-dive analyses, and prepare curated datasets that empower airports to make smarter, faster decisions.
Your main responsibilities will include:
- Designing and developing interactive BI dashboards that deliver compelling and actionable insights.
- Acting as a trusted advisor to customers, understanding their pain points and translating them into analytical solutions.
- Defining meaningful KPIs and metrics for airport and airline operations.
- Performing in-depth analyses on complex operational datasets to identify trends and optimization opportunities.
- Preparing curated datasets through data transformation and processing using Python, Pandas, and Apache Spark.
- Presenting insights to both external customers and internal teams, turning data into decision-making narratives.
- Leading requirements gathering sessions with customers to ensure solutions align with operational needs.
✅ What We’re Looking For
We’re seeking someone with strong analytical expertise, technical skills, and the ability to turn complex data into clear business value.
Must-haves:
- 5+ years of professional experience in data analysis, business intelligence, or analytics roles.
- Strong SQL skills for querying large datasets.
- Experience with business intelligence tools (e.g., AWS QuickSight, Tableau, Power BI).
- Solid Python programming skills for data manipulation and analysis.
- Knowledge of data processing tools such as Apache Spark or Pandas.
- Understanding of data modeling and KPI development.
- Excellent communication skills with the ability to translate complex business requirements into technical specifications and experience in presenting to senior stakeholders.
- Experience working directly with customers to gather requirements and deliver solutions.
Nice-to-haves:
- Experience in airport, airline, or transportation industry analytics.
- Familiarity with AWS analytics services (Athena, Glue, S3, Lambda, Kinesis).
- Knowledge of modern data lake formats (e.g., Apache Iceberg).
- Background in real-time analytics and streaming data visualization.
💙 Why You’ll Love Working at Nuvolar
- Impactful Projects – You’ll help reimagine the way airports operate, improving real lives and experiences for millions of travelers.
- People-First Culture – We care about our team, support each other, and celebrate successes together.
- Remote-First Approach – Work from anywhere with flexibility and trust.
- Continuous Learning – Access to training programs, mentorship, career development opportunities, and an annual professional development budget.
- Health and Wellness Perks – Private health insurance and gym subsidy.
- Great Company Culture – Team events, knowledge-sharing sessions, and fun activities throughout the year.
The Hiring Process
We like to keep things simple and transparent:
HR Interview – A friendly conversation to understand your background and career aspirations.
Technical Challenge – A hands-on task to assess your analytical and problem-solving skills.
Technical Interview – Meet the team and discuss your approach to analytics and data storytelling.
If you’re ready to turn complex operational data into game-changing insights, apply now! 🚀
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Nuvolar Works is an equal-opportunity employer and will not discriminate against any applicant based on age, gender, sexual orientation, disability, national origin, race, or religion. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process.