Data Engineer

The Role

As a Data Analyst at Air Apps, you will be responsible for analysing and interpreting data to drive business insights and optimise product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience.

This role requires a data‑driven mindset, strong analytical skills, and experience with visualization tools to turn complex data into actionable insights.

• This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross‑functional teams in person and contribute to a dynamic and fast‑paced environment. We are open to supporting relocation efforts.

Responsibilities

• Analyse user behaviour, product performance, and key business metrics to identify trends and opportunities.
• Create and maintain interactive dashboards and reports using tools such as Tableau, Looker, Power BI, or Google Data Studio.
• Collect, clean, and structure large datasets to ensure accuracy and usability.
• Define and track KPIs for marketing, product and business performance.
• Work with SQL, Python or R to extract, analyse and manipulate data.
• Collaborate with product managers, engineers and marketing teams to provide data‑driven insights.
• Conduct A/B testing and experiment analysis to improve product features and user engagement.
• Identify bottlenecks and opportunities in user journeys and customer funnels.
• Present findings in a clear and compelling way to stakeholders and leadership teams.
• Stay up to date with industry trends, analytics best practices, and emerging data tools.

Requirements

• Around 3+ years of experience in data analysis, business intelligence, or a related field.
• Proficiency in SQL for data querying and manipulation.
• Experience with data‑visualisation tools (Tableau, Looker, Power BI, Google Data Studio).
• Strong analytical skills with experience in Python or R for data analysis.
• Knowledge of A/B testing methodologies and statistical analysis.
• Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools.
• Strong problem‑solving skills and ability to communicate insights to non‑technical stakeholders.
• Experience working with large datasets and cloud‑based data warehouses (BigQuery, Redshift, Snowflake).
• Familiarity with ETL processes and data pipeline optimisation is a plus.
• Ability to work in a fast‑paced, data‑driven environment and manage multiple projects.

What benefits are we offering?

• Apple hardware ecosystem for work.
• Annual Bonus.
• Top‑tier Health and Life Insurance for peace of mind.
• Transportation Budget to support your commute needs.
• Coverflex benefits package for meal allowances, well‑being and more.
• Childcare support.
• Air Conference – an opportunity to meet the team, collaborate and grow together.
• Pension Fund to support your long‑term financial planning.
• Urban Sports Club membership to keep you active.
• Meals 100% free at the hub.