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