Analytics Engineer (m/f/d)

Job Description

We are looking to hire a mid-level Analytics Engineer in Berlin who will design, develop, and maintain robust and scalable data pipelines for analytics and reporting purposes.

Main Tasks

• Implement ETL processes to extract, transform, and load data from diverse sources into our data warehouse.
• Optimize data models and structures to support efficient and high-performance analytics.
• Collaborate with data scientists, business analysts, and other stakeholders to understand analytics requirements and translate them into technical solutions.
• Develop and implement analytical solutions and algorithms to derive actionable insights from large datasets.
• Contribute to the design and implementation of advanced analytics models and statistical analyses.
• Stay up to date on industry best practices and emerging technologies in analytics and data engineering.
• Drive the adoption of best practices in data engineering processes, coding standards, and documentation.
• Collaborate with data architects to design and optimize data architectures that align with business goals.
• Ensure the integrity, security, and performance of data solutions through thorough testing and optimization.
• Contribute to the development and maintenance of data dictionaries, schemas, and documentation.
• Collaborate with cross-functional teams to ensure alignment between technical solutions and business objectives.
• Communicate complex technical concepts and insights to both technical and non-technical stakeholders.
• Participate in knowledge-sharing activities within the analytics team and the broader organization.

Qualifications

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a proven experience in related fields.

Experience

• 2+ years of relevant work experience in analytics, data engineering, or a related field.
• Experience with real-world projects that involve handling and analyzing substantial datasets.

Technical Skills

• Proficiency in programming languages commonly used in analytics, such as SQL, Python, R, Java or similar.
• Knowledge of data manipulation, transformation, modeling, orchestration and analysis tools, such as dBT, Pandas, NumPy, Spark, Airflow or similar.
• Experience with data visualization tools like Looker, Tableau, or Power BI.
• Familiarity with database systems and querying languages (e.g., Redshift, Big Query).
• Understanding of data modeling concepts and experience with data warehousing solutions.
• Knowledge of ETL (Extract, Transform, Load) processes and tools.
• Ability to analyze and interpret complex data sets to extract meaningful insights.
• Problem-solving skills with a focus on practical and actionable solutions.
• Ability to work collaboratively with cross-functional teams, including data scientists, business analysts, and software engineers.
• Effective communication skills to convey technical concepts to non-technical stakeholders.
• Experience in managing and prioritizing multiple tasks or projects.
• Ability to work within timelines and deliver results efficiently.

Additional Information

What’s in it for you?

• Have an impact. With innovation and smart technology, we are changing the way people travel, and you too can have an impact on this ride.
• A competitive and attractive compensation package.
• Subsidized Urban Sports Club membership.
• A diverse team of more than 45 nationalities.

Diversity makes us stronger

We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender, gender identity, age or disability.

Hiring process and background checks

Recruitment scams: Important notice

Protect yourself from scammers. Our organization wants to ensure your ongoing safety during the application process. Please keep in mind potential scammers impersonating our recruiters (mainly via a global professional networking site, and messenger apps).

Remember, we never request payment or sensitive personal information during the recruitment process. All official job opportunities are exclusively posted on our careers page. If you suspect fraudulent activity, report it to our recruitment team. Remember to cross-reference against our careers page if you question the authenticity, stay vigilant, and protect yourself from recruitment scams.