At a Glance
- Tasks: Transform data into insights and build dashboards that drive key decisions.
- Company: Join a forward-thinking company focused on data-driven growth.
- Benefits: Competitive salary, equity options, flexible working, and generous leave.
- Other info: Exciting opportunities for learning and using the latest tech.
- Why this job: Make an impact by analysing data and collaborating across teams.
- Qualifications: 2+ years in data analysis and experience with BI tools.
The predicted salary is between 40000 - 50000 € per year.
About the Role
Turn data into actionable insights that help us grow. You'll work across teams to answer key business questions and build dashboards that drive decision-making.
What You'll Do
- Analyze user behavior and product metrics
- Build dashboards and automated reports
- Support A/B testing and experimentation
- Identify trends and growth opportunities
- Collaborate with teams to define KPIs
What We're Looking For
- 2+ years in a data analysis role
- Experience with BI tools (Metabase, Looker, or similar)
- Understanding of statistical concepts
- Ability to communicate insights clearly
Nice to Have
- Python or R for analysis
- Experience with event tracking (Amplitude, Mixpanel)
- Knowledge of dbt or data modeling
- Background in marketplace analytics
Benefits
- Competitive salary with equity options
- Flexible hybrid working arrangement
- 25 days annual leave + bank holidays
- Learning and development budget
- Latest tools and technology
Interested in this role? Applications reviewed within 5 business days.
Data Analyst employer: Pullup
Join a dynamic team where your analytical skills will directly influence our growth and success. We offer a flexible hybrid working arrangement, competitive salary with equity options, and a strong commitment to employee development through a dedicated learning budget. Our collaborative work culture encourages innovation and provides ample opportunities for career advancement in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and analyses. This is your chance to demonstrate how you turn data into actionable insights, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by brushing up on your BI tools and statistical concepts. Be ready to discuss your past projects and how you've identified trends and growth opportunities. We love seeing candidates who can communicate insights clearly!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen quickly. Plus, we review applications within 5 business days, so you won’t be left hanging for long.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis and any relevant BI tools you've used. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this Data Analyst role. Share specific examples of how you've turned data into actionable insights and how you’ve collaborated with teams in the past.
Show Off Your Technical Skills:If you’ve got experience with Python, R, or any event tracking tools like Amplitude or Mixpanel, make sure to mention it! We love seeing candidates who can bring technical expertise to the table.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role quickly. Plus, we review applications within 5 business days!
How to prepare for a job interview at Pullup
✨Know Your Data Tools
Make sure you're familiar with the BI tools mentioned in the job description, like Metabase or Looker. Brush up on how to use them effectively, as you might be asked to demonstrate your skills or discuss your experience with these platforms during the interview.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've turned data into actionable insights in your previous roles. Think about a time when your analysis led to a significant decision or change, and be ready to explain the process you followed.
✨Communicate Clearly
Since clear communication of insights is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present findings or explain your thought process, so make sure you can articulate your ideas clearly and confidently.
✨Understand A/B Testing
Familiarise yourself with A/B testing methodologies and be prepared to discuss any relevant experience. If you have examples of experiments you've conducted or supported, share those stories to highlight your understanding of experimentation and its impact on business decisions.
