Data Analyst

In breve

Air Apps is a family‑founded tech company that builds an AI‑powered Personal Entrepreneurial Resource Planner. With headquarters in Lisbon and a second office in 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 Data Analyst will turn raw data into actionable business insights that improve product performance and user experience. Daily work involves examining user behavior, product metrics and key business indicators to spot trends and growth opportunities. You will design, build and maintain interactive dashboards and reports using platforms such as Tableau, Looker, Power BI or Google Data Studio, and you will clean, structure and validate large data sets for reliable analysis. Core technical tasks include writing SQL queries and using Python or R to extract, transform and analyse data. You will define and monitor KPIs for marketing, product and overall business health, run A/B tests and experiment analyses, and map bottlenecks in user journeys and conversion funnels. Collaboration is essential: you will work side‑by‑side with product managers, engineers and marketing teams, presenting findings clearly to both technical and non‑technical stakeholders and senior leadership. The role requires at least three years of experience in data analysis or business intelligence, strong SQL proficiency, and hands‑on experience with a major visualization tool. You must also be comfortable with Python or R, understand A/B testing and statistical methods, and have used user‑analytics platforms such as Google Analytics, Mixpanel or Amplitude. Experience handling large datasets in cloud warehouses like BigQuery, Redshift or Snowflake is expected, while familiarity with ETL processes and pipeline optimisation is considered a plus. The position is fully onsite in Lisbon, with relocation support available, and offers a suite of benefits including Apple hardware, annual bonus, comprehensive health and life insurance, transportation budget, meal‑free hub, childcare support, pension, sports membership and more. What the role asks for: - 3+ years data analysis or business intelligence experience - Proficiency in SQL for querying and manipulation - Experience with Tableau, Looker, Power BI or Google Data Studio - Strong Python or R skills for data analysis - Knowledge of A/B testing and statistical analysis - Experience with Google Analytics, Mixpanel or Amplitude - Experience with large datasets in BigQuery, Redshift or Snowflake - Familiarity with ETL processes (nice‑to‑have)