Data Engineer at Airapps

Airapps

Lisbon·1h ago

Mid LevelFull-timePythonAI

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Data Analyst to join Air Apps, a company creating an AI-powered Personal & Entrepreneurial Resource Planner. This role involves analyzing data to drive business insights and optimize product performance.

Key Responsibilities

→Analyze user behavior, product performance, and key business metrics to identify trends and opportunities.
→Create and maintain interactive dashboards and reports using tools like 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, analyze, 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 visualization 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 optimization is a plus.
✓Ability to work in a fast-paced, data-driven environment and manage multiple projects.