Senior Analytics Engineer - Smoobu (m/f/d)
Berlin
Smoobu’s success is attributed to our dynamic, ambitious, and international team, dedicated to exceeding our customers’ expectations through expert advice and action. We celebrate diversity and operate in a truly global environment, embracing the challenges and opportunities that come with it. Join us on this exciting journey to transform the vacation rental industry!
You will drive Smoobu's growth by developing end-to-end data products using a modern data stack, delivering meaningful and actionable insights. You will also elevate our analytics capabilities as a pioneer in implementing advanced data analytics methods.
- Lead and develop analytical projects for the Product and Marketing departments, working closely with business stakeholders at every stage of the project
- Build, enhance and optimize data models and dashboards to enable data-driven decision-making
- Pioneer the use of predictive analytics methods to solve complex business challenges and unlock the full potential of data at Smoobu
- Provide occasional support to the team by assisting with ad-hoc data analytics tasks
- Have at least 5 years of relevant experience in Analytics Engineering, Data Science, or Business Intelligence domains
- Work with modern data stack architecture and tools (e.g. Snowflake, Airbyte, Airflow, dbt)
- Demonstrate proficiency in SQL for data modeling
- Apply statistical techniques for data mining and predictive modeling (e.g., clustering, classification, and regression)
- Are proficient in Python, including experience with the main packages for data analysis and machine learning
- Create data visualizations using tools like Superset (preferred)
- Communicate effectively and manage stakeholders, translating complex data insights into actionable business recommendations
- Take ownership and accountability in delivering impactful insights and driving strategic initiatives
- Mentor and upskill team members, fostering a data-driven culture within the organization
- Are fluent in English, both written and spoken, clearly communicating technical concepts to diverse audiences
- Experience with A/B testing
- Previous work in SaaS companies
- Prior experience as a Data Scientist
- The essentials: Competitive compensation package, visa sponsorship & relocation assistance*, full IT support & equipment, corporate benefits, modern offices, 27 paid vacation days a year (+ one additional day per year of employment until 32)
- Career growth: 360° feedback, open feedback culture, buddy and mentorship programs from an international team of passionate industry experts
- Personal development: German & Lithuanian language courses, internal and external workshops & trainings, company & team events, Wellhub, clubs & sports (e.g. volleyball, running), psychological support
- Startup spirit: Driven by our Leadership Principles: We are fast, nimble, and results-driven - embodying a startup mentality even as a global, public company. We encourage ownership and enable each other to succeed
- Flexible work approach: Office-led and remote friendly approach; employees are offered remote work flexibility for up to 50% of the year, including work from abroad benefits. Plus, access to a Travel Industry Card
- Climate action: Committed to being a pioneer in green travel: We partner with Plan A to take our environmental commitment to the next level by focusing on decarbonization, reduction targets and ESG reporting, and are a proud member of Leaders for Climate Action
- And so much more...
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Airflow Architecture Business Intelligence Classification Clustering Data analysis Data Analytics Data Mining dbt Engineering Machine Learning Predictive modeling Python Snowflake SQL Statistics Superset Testing
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Relocation support Startup environment Team events
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