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- Aufgaben: Analyze data to enhance product features and collaborate with diverse teams.
- Arbeitgeber: FREENOW empowers smarter mobility decisions for people and cities.
- Mitarbeitervorteile: Enjoy flexible work, LinkedIn Learning, sabbaticals, and health insurance.
- Warum dieser Job: Join a fun, motivated team and influence millions of users' experiences.
- Gewünschte Qualifikationen: Degree in a quantitative field and experience as a Senior Data Analyst required.
- Andere Informationen: Work from Hamburg, Berlin, or Barcelona; embrace diversity and inclusion.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Location : We are flexible! Come and join us either in Hamburg, Berlin or Barcelona
FREENOW empowers smarter mobility decisions helping people to move freely and cities to thrive.
We are looking for a Senior Product Data Analyst (m/f/d) to collaborate with our product squads, using data to build a flawless product experience. You will join the Product Data team and work closely with PMs, designers, UX researchers, developers, and other data functions to discover new product opportunities, validate hypotheses, and launch valuable features to our users.
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate analysts who strive for excellence and like to have fun. Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
- Providing expertise and collaborating with stakeholders to generate new product feature ideas and improvements, and also estimating the potential impact of planned projects.
- Continuously engaging with the product squads to gain an understanding of the problems that need to be solved, gathering requirements, and defining the best deliverables to match the business needs.
- Having full ownership of your analysis, from ideation to communication of results and making recommendations to all levels of the company including senior management.
- Developing and evaluating A/B tests and other analyses to measure and report the performance of released features, ensuring that we are launching the correct changes and features in our apps.
- Working closely with our developers and data engineers to create and capture data that is aligned with the business logic and allows modelling and analysis.
- Being involved throughout the complete product lifecycle in order to guarantee a data-driven process.
- Bringing new insights and championing them, using your analyses, dashboards, and good storytelling! We value ideas over hierarchy, and there’s always a new path to follow if your idea is convincing and well backed with data!
- You will have the opportunity to steer our products, which kind of features should be developed, and which changes should be made to solve millions of users‘ daily needs.
TO BE SUCCESSFUL IN THIS ROLE:
- You have curiosity in your essence , which motivates you to answer WHY things happened , not only scratching the surface, but aiming for well-founded actionable results.
- Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or other fields with a strong mathematical-statistical background.
- Previous experience in working as a Senior Data Analyst in a data-driven analytics environment, preferably within tech product organizations, having direct contact with stakeholders.
- Exceptional analytical skills , lateral thinking, and proven experience in solving highly challenging problems.
- Very good knowledge of SQL, databases, and statistical programming tools (e.g. Python, R) so that exploratory analyses can be performed, reports created and ETLs maintained.
- Possess advanced expertise in designing digital experiments , along with extensive hands-on experience in analyzing and interpreting A/B test results , all supported by a strong foundation in statistical knowledge. Experience in causal methodologies is a plus.
- Experience in working with data visualisation tools (e.g. Tableau, Qlikview) and event tracking (e.g. Mixpanel, GA, Firebase).
- You have successfully mentored junior analysts, guiding their growth and helping them develop new skills.
- You understand how to engage and influence decision-makers by using data visualisation and storytelling and have excellent English communication skills.
BENEFITS & PERKS IN A NUTSHELL:
- Flexible working arrangements.
- LinkedIn Learning.
- Sabbatical & special leave policies.
- WeRoad partnership.
- Birthday, 24th + 31st December off.
- Short term EU work policy.
- Mobility Credit.
- Health Insurance.
- Employee assistance program.
Plus more local benefits depending on your work location!
DIVERSITY, EQUITY & INCLUSION:
FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work.
SEE WHAT OUR AWESOME COLLEAGUES SAY ABOUT US:
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Senior Product Data Analyst Arbeitgeber: FREENOW
Kontaktperson:
FREENOW HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Product Data Analyst
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and data visualization tools like Tableau. Being able to demonstrate your proficiency in these areas during discussions can set you apart.
✨Tip Number 2
Showcase your experience with A/B testing and causal methodologies. Prepare examples of past projects where you successfully implemented these techniques, as this will highlight your analytical skills and ability to drive product decisions.
✨Tip Number 3
Engage with the product community on platforms like LinkedIn or relevant forums. Networking with current employees or industry professionals can provide insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss how you've mentored junior analysts in the past. Highlighting your leadership skills and ability to communicate complex data insights effectively will resonate well with the collaborative nature of the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Product Data Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Product Data Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your previous experience as a Senior Data Analyst, particularly in data-driven environments. Mention specific projects where you collaborated with stakeholders and utilized SQL, Python, or R.
Showcase Analytical Skills: Demonstrate your exceptional analytical skills by providing examples of how you've solved complex problems in the past. Include any experience with A/B testing and data visualization tools like Tableau or Mixpanel.
Communicate Effectively: Since excellent communication skills are crucial for this role, ensure that your application is clear and concise. Use storytelling techniques to convey your achievements and how they can benefit the company.
Wie du dich auf ein Vorstellungsgespräch bei FREENOW vorbereitest
✨Show Your Curiosity
Demonstrate your natural curiosity during the interview. Be prepared to discuss how you've approached complex problems in the past and the methodologies you used to uncover insights. This aligns with the company's value of understanding the 'why' behind data.
✨Highlight Your Technical Skills
Make sure to showcase your expertise in SQL, Python, and statistical programming tools. Prepare examples of how you've used these skills in previous roles to drive product decisions or improve features, as this is crucial for the Senior Product Data Analyst position.
✨Discuss Your Experience with A/B Testing
Be ready to talk about your hands-on experience with designing and analyzing A/B tests. Share specific examples of tests you've conducted, the results, and how those results influenced product decisions. This will demonstrate your ability to contribute to data-driven processes.
✨Prepare for Storytelling
Since storytelling with data is emphasized, practice how you would present your analyses and findings. Think about how to make your insights engaging and actionable for stakeholders at all levels, especially senior management. This skill will be key in influencing decision-makers.
