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- Aufgaben: Analyze data, investigate user behavior, and document insights to drive product decisions.
- Arbeitgeber: Join adjoe, a leading mobile ad platform backed by Bertelsmann, revolutionizing app monetization.
- Mitarbeitervorteile: Enjoy remote work options, flexible hours, free snacks, and a dog-friendly office.
- Warum dieser Job: Be part of a dynamic team, work with cutting-edge technology, and make impactful decisions.
- Gewünschte Qualifikationen: Degree in IT or analytics, 2+ years experience, proficient in SQL, Python or R.
- Andere Informationen: Relocation support and virtual stock options available for all regular employees.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Do you want to build awesome, engaging mobile games and scale them to millions of users?
The Data Analyst occupies an essential role within our data-driven organization, collaborating with product, tech, and marketing teams while reporting to the Business Intelligence Lead. The primary purpose of this role is to support stakeholders in making informed decisions by proactively identifying challenges and opportunities through data analysis, leading to tangible and positive impacts on the business.
What you will do:
- Proactively contribute ideas to improve business performance.
- Utilize statistical methods and data visualization to identify trends and provide data interpretations.
- Gather, analyze, and translate business requirements into actionable data insights.
- Suggest and evaluate product experiments.
- Proactively contribute to improve team workflow, processes, tools, etc.
- Aid stakeholders in crafting well-informed decisions.
- Suggest, define and monitor impactful KPIs.
- Identify relevant data and ensure availability.
- Maintain data availability and improve data utilization.
- Design, develop, and maintain data models and databases.
- Extract, transform, and load data for analysis.
- Conduct ad-hoc analysis and ensure data quality.
- If asked, mentor junior team members.
Who you are:
- 4+ years of relevant work experience.
- Proficiency in SQL, Python, and Tableau.
- Knowledge in R, Jupyter, or similar tools is beneficial.
- Strong understanding of databases, data modelling, and data integration.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation abilities.
- Familiarity with git, docker, or dbt is desirable.
- Background or familiarity in Data Science projects (ML, pattern recognition, forecasting, fraud detection, etc.) is a plus.
- Experience in the AdTech industry or in mobile app analytics is a plus.
Why you will love working here:
- Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city.
- Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs, and more.
- Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday.
- Physical & Mental Health Package: In-house gym with a personal trainer, various classes like Yoga with expert teachers & free of charge access to our EAP (Employee Assistance Program) to support your mental health and well-being.
- Activity Package: Regular team and company events, and hackathons.
- Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals.
- Wealth building: virtual stock options for all our regular employees.
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Data Analyst (f/m/d) Arbeitgeber: Applike
Kontaktperson:
Applike HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analyst (f/m/d)
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, such as AWS Athena, QuickSight, and Kibana. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with A/B testing and statistical analysis. Be prepared to discuss how you've used hypothesis tests in past roles to derive insights and make data-driven decisions.
✨Tip Number 3
Showcase your ability to communicate complex data findings clearly. Prepare examples of how you've documented and presented your insights to teams or stakeholders, as effective communication is key in this role.
✨Tip Number 4
If you have experience in AdTech or mobile app analytics, make sure to emphasize it. This niche knowledge can be a significant advantage and demonstrate your fit for the role at adjoe.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst (f/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analyst position at adjoe. Understand the key responsibilities and required skills, such as proficiency in SQL and experience with data visualization tools.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that match the job requirements. Emphasize your background in data analysis, programming languages like Python or R, and any experience with A/B testing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your previous experiences align with the role. Mention specific projects where you extracted insights from data and contributed to product decisions.
Showcase Your Technical Skills: In your application, be sure to mention your technical skills, especially your experience with AWS services, data visualization tools, and statistical analysis. Provide examples of how you've used these skills in past roles.
Wie du dich auf ein Vorstellungsgespräch bei Applike vorbereitest
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL, Python, or R in detail. Bring examples of past projects where you analyzed data and extracted insights, especially in a product company setting.
✨Understand the AdTech Landscape
Familiarize yourself with the basics of AdTech and mobile app analytics. Being able to discuss industry trends and how they relate to the role will demonstrate your enthusiasm and knowledge.
✨Prepare for Technical Questions
Expect questions related to statistical analyses and A/B testing. Brush up on hypothesis testing and be ready to explain how you would approach analyzing experiment results.
✨Communicate Clearly
Since you'll need to document findings and communicate them to the team, practice explaining complex data insights in a clear and concise manner. This will show your ability to collaborate effectively with engineers and other team members.
