At a Glance
- Tasks: Analyse data to drive insights and optimise product performance.
- Company: Join Air Apps, a fast-growing tech company on a mission to innovate.
- Benefits: Competitive salary, relocation support, and a vibrant work culture.
- Other info: Dynamic onsite role in Lisbon with excellent collaboration opportunities.
- Why this job: Be part of a team redefining resource management with AI-driven solutions.
- Qualifications: 3+ years in data analysis, proficiency in SQL, and strong analytical skills.
The predicted salary is between 40000 - 50000 £ per year.
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.
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.
Qualifications
- 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.
About the Company
At Air Apps, we believe in thinking bigger & moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we've remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management & change lives along the way.
Position Details
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 support with relocation efforts.
Data Engineer in City of Westminster employer: Air Ltd
At Air Apps, we pride ourselves on fostering a vibrant and innovative work culture that encourages creativity and collaboration. As a Data Engineer in our Lisbon office, you will have the opportunity to work alongside passionate professionals in a fast-paced environment, with ample opportunities for personal and professional growth. We offer competitive benefits, support for relocation, and a chance to be part of a pioneering team dedicated to transforming resource management through cutting-edge AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Air Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Air Ltd.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Air Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Air Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Air Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Air Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Air Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Air Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
