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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Business Intelligence Analyst - **Company:** Tripledot Studios - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Big Data, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Build Management, Information Technology, Looker Analytics, Data Pipelines - **Published:** July 18, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=44a156e8aa0cf058 ## About the Role * Bachelor's degree in a relevant field (e.g., Computer Science, Mathematics, Statistics, or similar). * Proven experience as a BI Engineer, BI Analyst or similar role, preferably within the gaming industry. * Expert-level proficiency in Looker and LookML, with a demonstrated ability to work full-stack within Looker - connecting data sources, modelling the semantic layer, and building dashboards independently. * Experience with other BI and visualisation platforms (e.g., Tableau, Power BI). * Proficiency in SQL and experience working with large datasets. * Demonstrated experience building self-serve BI that empowers non-technical users, rather than only servicing one-off report requests. * Strong business orientation - able to grasp what the business is really trying to achieve and translate it into the right dashboards, metrics and tools. * Excellent analytical and problem-solving skills, with the ability to explore complex data independently and extract actionable insights. * Strong attention to detail and the ability to ensure accuracy and consistency in documentation and reporting. * Excellent communication skills, with the ability to present complex information in a clear and concise manner to both technical and non-technical stakeholders across multiple studios. * Experience with event tracking, data pipelines and ETL processes is a plus. * A conceptual understanding of predictive models such as pLTV, along with cohort and retention curves, is a plus - enough to sanity-check and report on the team's model outputs. * Light scripting (e.g. Python) for automation is a nice to have. * A passion for mobile gaming and an understanding of gaming analytics and user behaviour is highly desirable. ## Description * Own our Looker environment end to end - connect new data sources, author and maintain the LookML semantic layer (views, explores, models and derived tables), and build the final dashboards, all independently. * Design and build self-serve tools and dashboards that empower UA analysts and marketing leadership across the Group's studios to answer their own questions and act on real-time insight into key metrics such as LTV, retention, monetisation and ROAS. * Conduct regular data quality checks and audits, and QA the reporting of key metrics - reconciling dashboards against the team's predictive model outputs and catching issues before they reach stakeholders. * Partner closely with stakeholders to understand what the business needs and wants - not just what they ask for - and translate those requirements into the right dashboards, metrics and visualisations. * Collaborate with cross-functional teams - including our ML Engineers, Data Scientists and Data Engineers, as well as product managers, UA analysts and marketing leadership across the studios - to identify reporting needs and implement effective solutions. * Write clear specifications for the data models you need our data engineering team to build upstream, using sound judgement on when a transformation belongs in LookML versus in the warehouse. ## Related Videos - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - 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