Senior Analytics Engineer (Looker) @ GetInData | Part of Xebia in GetInData | Part of Xebia

The Analytics Engineer's goal is to take care of the entire data value chain, from data sources to business insights. An Analytics Engineer is responsible for collecting business requirements, modeling data, building data pipelines, creating data visualizations, and helping businesses make decisions based on this data. Youcan use a variety of technologies covering the full data life cycle and work with different kinds of datasets. Analytics Engineer often has some understanding of both worlds, business and technology, and is a good communicator who can help them to understand each other. He/she can turn business requirements into working data products (like: reports, analysis), often in cooperation with different stakeholders. Proficiency in Python Experience withLooker Knowledge of tools such asPowerBI or Tableau Python data visualization frameworks (e.g., Matplotlib, Seaborn, Plotly) Experience working with GCP Working with Spark messaging systems Understanding of Data Modeling -designing and defining data structures and relationships tailored for analysis that align with business requirements (also taking into account efficient storage retrieval) Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement The Analytics Engineer's goal is to take care of the entire data value chain, from data sources to business insights. An Analytics Engineer is responsible for collecting business requirements, modeling data, building data pipelines, creating data visualizations, and helping businesses make decisions based on this data. Youcan use a variety of technologies covering the full data life cycle and work with different kinds of datasets. Analytics Engineer often has some understanding of both worlds, business and technology, and is a good communicator who can help them to understand each other. He/she can turn business requirements into working data products (like: reports, analysis), often in cooperation with different stakeholders. ,[High-level Looker maintenance (administration): monitor instance health, user roles management, troubleshooting errors reported by business users, configuring new models and data connections, Close cooperation with business users to understand reporting needs and support them with Looker usage, Building data pipelines and implementing data transformations (mostly in SQL), Ad hoc data analysis and visualization, Data validation and testing, Designing and implementing data model in a BI tool, Staying up to date with the latest trends and best practices in analytics engineering] Requirements: Looker, Python, BI tools, GCP, Spark Tools: Jira, GitLab, GIT, Jenkins / GitLab, Agile. Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Team Events, Training budget, Free coffee, Gym, Bike parking, Playroom, Free snacks, Free beverages, In-house trainings, Startup atmosphere, No dress code, Kitchen.