Social network you want to login/join with:As an Analytics Engineer, you will define, prepare, maintain, and document data sets (mainly in form of data models) so that users are able to get actionable insights from the data in a self-service way. You will work with Data Platforms, Business Analysts, and Data Intelligence teams to implement data modeling solutions and help to streamline company information management.**Job responsibilities**:- Elicit business data requirements, identify data sources and required data elements, perform data validation and integration activities.- Translate business data needs to specific technical requirements and tasks.- Take responsibility for the whole ETL/ELT solution and design new sustainable solutions from the ground up.- Oversee the data warehouse, source system tables, and transformations necessary for intelligent reporting, thus ensuring that business users have access to reliable data which are essential to make informed decisions.- Work in conjunction with Data Engineering to build scalable and manageable data intelligence solutions.- Diagnose data quality issues using formal problem-solving techniques and probe underlying issues to generate potential solutions. Make recommendations and guide corrective and/or preventive actions.- Write and document the results of your work to make them easily understandable to other colleagues.**We would love to see you apply, if You**:- Have at least 2 years of relevant experience in the area of business intelligence, data analytics, or data engineering.- Have a solid understanding of data integration tools, ETL/ELT processes, data modeling concepts, and data warehouse architecture.- Are familiar with data pipeline orchestration tools such as Airflow, Fivetran, Keboola, or Stitch.- Have experience with DWH platforms like BigQuery, Snowflake, Azure Data Warehouse, or MS SQL Server.- Have a good knowledge of database principles, strong proficiency in SQL and programming languages (like Python) used for data manipulation and data analysis.- Have an inquisitive, analytical problem-solving mindset.- Have experience with BI tools like Looker, Tableau, or similar is welcomed.- Are Fluent English (C1 level).LI-BS1We offer you- We also enjoy benefits, such as flexible working hours, 30 paid vacation days, sick days, private medical insurance, Employee Assistance Program, GymForLess membership, the annual subscription for El Bicing.- Flight vouchers to celebrate your kiwi anniversaries.- Hardware from Apple or Microsoft based on your preferences.- We offer unlimited contracts within a forward-thinking and ambitious company.- Relocation package (including visa transfer support).- Dogs and parties are welcome in our offices.- Interested? Join us and hack the traditional ways of travel!
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