Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent experience
7+ years of experience as a BI Engineer, Data Analyst, Analytics Engineer, Data Engineer, or a related occupation delivering BI, analytics, and reporting solutions
Expert SQL
Data modeling and design
BI and visualization: advanced Power BI and Tableau
ETL/ELT and pipelines: hands-on experience programming to extract, transform, and clean large datasets, and building scheduled, monitored pipelines in tools such as Databricks, Microsoft Fabric, Azure Data Factory, or Snowflake
Scripting for automation: proficiency in Python or a similar language for data transformation and automation
Workflow automation: Power Automate, Power Apps, or comparable low-code tooling for reporting workflows
AI-enabled analytics (differentiator): applying LLM and GenAI capabilities to BI: automated narrative generation, conversational analytics, and agent-ready semantic layers
Executive tooling: advanced Excel and PowerPoint for analysis and executive storytelling
Demonstrated ability to establish business logic and metric definitions that turn raw data into trusted, consumable reporting
Experience communicating and presenting analytical results to senior leadership
Strong analytical skills with the ability to translate data into actionable insights
Demonstrated organizational and prioritization abilities
Ability to navigate ambiguity and deliver independently in a fast-paced transformation environment
Working knowledge of core finance concepts (ROI, forecasting, variance-to-plan, business-case and P&L; mechanics) and direct experience partnering with a finance or FP&A; team to translate financial methodology into data logic
Demonstrated ability to operate as the sole technical IC on a team, without a dedicated BI or data engineering organization to lean on for support, review, or troubleshooting
