Staff Engineer - Data Analyst

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! 6+ years of experience in Data Analytics, Business Intelligence, Reporting, or BI Development. Strong hands-on experience with MicroStrategy (MSTR). Experience with MSTR Reports, Dashboards/Dossiers, Metrics, Attributes, Filters, Prompts, Intelligent Cubes, and Datasets. Experience with Logi Analytics / Logi Symphony, or strong experience in another BI platform with the ability to learn Logi quickly. Strong proficiency in SQL, including joins, aggregations, CTEs, window functions, and query optimization. Strong understanding of data analysis, data validation, and reconciliation. Experience developing reports, dashboards, and data visualizations. Ability to analyze existing BI solutions and understand underlying business and calculation logic. Good understanding of relational databases, data warehousing, and dimensional data modeling. Experience working with business stakeholders to gather and clarify requirements. Strong problem-solving, analytical, and communication skills. AI skills (required for all roles) Daily, fluent use of Claude Code and/or GitHub Copilot for implementation, refactoring, test generation, and code review Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines) Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype Good to have skills: Logi, MSTR