Job
- Level
- Experienced
- Location
- Munich
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 54.000 to 67.000€ gross/year
Job Summary
In this role, you'll analyze data, create dashboards and reports, conduct A/B testing, and collaborate closely with teams to provide data-driven insights that enhance product performance.
Job Technologies
Your role in the team
- As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize 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.
- 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.
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Our expectations of you
Qualifications
- Proficiency in SQL for data querying and manipulation.
- Knowledge of A/B testing methodologies and statistical analysis.
- Strong problem-solving skills and ability to communicate insights to non-technical stakeholders.
- 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.
Experience
- Around 3+ years of experience in data analysis, business intelligence, or a related field.
- Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio).
- Strong analytical skills with experience in Python or R for data analysis.
- Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools.
- Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake).
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What we offer
- Apple hardware ecosystem for work.
- Jahresbonus
- 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-Mitgliedschaft, um Sie aktiv zu halten.
- Meals 100% free at the hub.
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Topics You Will Work On
Job Locations
About Your Employer
Air Apps
Air Apps is a family-founded, self-financed company with over 100 million downloads worldwide and offices in Lisbon and San Francisco. It focuses on innovative, user-friendly apps that simplify daily life and pursues an AI-first approach to create the first AI-powered Personal & Entrepreneurial Resource Planner (PRP).
Description
- Company Type
- Startup
- Working Model
- Full Remote, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Salary
- 54.000 to 67.000€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.34.453 to 41.088 € net/year · Tax class I
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
