Analytics Engineer (m/f/d)
Analytics Engineer (m/f/d)
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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
Bachelors or Masters 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 :
Whats 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.
Hiring process and background checks
At Omio we work in partnership with Giant Screening once a job offer has been accepted Giant will be engaged to carry out background screening. Giant will reach out to you via email and occasionally via telephone/text message so that they can gather all the relevant information required. Consent will be requested prior to any information being passed to our services company.
Recruitment scams: Important notice
Protect yourself from scammers Omio wants to ensure your ongoing safety during the application process at Omio. Please keep in mind potential scammers impersonating Omio recruiters (mainly via a global professional networking site and messenger apps).
Remember Omio never requests 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 Remember to cross-reference against our careers page if you question the authenticity stay vigilant and protect yourself from recruitment scams.
Intrigued Apply here in English.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
