Data Engineer

In breve

Air Apps is a family‑founded tech company that builds an AI‑powered Personal Entrepreneurial Resource Planner. Operating from Lisbon and San Francisco, the firm has delivered more than 100 million downloads since its 2018 launch and remains self‑funded while pushing AI‑driven solutions for resource management. The opening is for a Data Analyst who will turn raw data into actionable business insights that improve product performance and user experience. In this fully onsite role based in Lisbon, the analyst will examine user behavior, product metrics and key business indicators to spot trends and growth opportunities. Daily tasks include building and maintaining interactive dashboards and reports with tools such as Tableau, Looker, Power BI or Google Data Studio, as well as cleaning, structuring and validating large data sets. The analyst will define and monitor KPIs for marketing, product and overall business health, extract and manipulate data using SQL, Python or R, and work closely with product managers, engineers and marketers to deliver data‑driven recommendations. Additional duties involve designing and analysing A/B tests, pinpointing bottlenecks in user journeys, and presenting findings clearly to stakeholders and leadership. The position requires at least three years of experience in data analysis, business intelligence or a closely related field. Candidates must be proficient in SQL for querying and manipulation, and have hands‑on experience with at least one major visualization platform (Tableau, Looker, Power BI or Google Data Studio). Strong analytical capabilities are essential, demonstrated through the use of Python or R for data work, and a solid grasp of A/B testing methods and statistical analysis. Familiarity with user‑analytics tools such as Google Analytics, Mixpanel or Amplitude, as well as experience handling large datasets stored in cloud warehouses like BigQuery, Redshift or Snowflake, is also required. The role calls for excellent problem‑solving skills and the ability to convey insights to non‑technical audiences while juggling multiple projects in a fast‑paced environment. Preferred, though not mandatory, experience includes working with ETL processes and optimizing data pipelines. The office environment in Lisbon offers a collaborative, in‑person setting with support for relocation, and a benefits package that features Apple hardware, an annual bonus, comprehensive health and life insurance, transportation allowance, meal‑free hub, childcare support, pension contributions, an Urban Sports Club membership, and a dedicated Air Conference for team building and growth. What the role asks for: - 3+ years data analysis or business intelligence experience - Proficiency in SQL for data querying - Experience with Tableau, Looker, Power BI or Google Data Studio - Python or R for data analysis - Knowledge of A/B testing and statistical analysis - Experience with Google Analytics, Mixpanel or Amplitude - Experience with cloud data warehouses (BigQuery, Redshift, Snowflake) - Familiarity with ETL processes (nice‑to‑have)