Analytics Engineer(m/w/x)

## 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). * Data Modeling and Warehousing: * Understanding of data modeling concepts and experience with data warehousing solutions. * Knowledge of ETL (Extract, Transform, Load) processes and tools. * Analytical Skills: * 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? #LifeAtOmio** * 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.