Business Intelligence Analyst

Partner with stakeholders across finance, sales, and operations to understand their goals and translate them into clear requirements and KPIs 

Scope dashboard projects: define success criteria, prioritize requests, set timelines, and manage expectations 

Build, publish, and maintain dashboards and reports in Power BI (or Tableau) that are accurate, intuitive, and actionable 

Write SQL against Snowflake to explore data, validate results, and support ad hoc analysis 

Work with Data Engineering to shape the semantic layer and data models, define KPI and calculation logic, flag data quality issues, and improve report performance and Snowflake costs 

Build the business definitions and synonyms that help AI tools (like Snowflake Cortex Analyst or Power BI Copilot) answer questions correctly 

Test AI-generated reports and text-to-SQL results against known-correct answers before they go live 

Run training sessions, workshops, and office hours that build self-service skills across the business 

Create user guides, metric definitions, and walkthroughs so business users can trust and navigate the data 

Gather feedback after launch, track adoption, and iterate on dashboards

5+ years in business intelligence, analytics, FP&A, or a similar role 

Strong dashboarding skills in Power BI, Tableau, or a comparable BI tool 

Working SQL proficiency (joins, aggregations, CTEs, basic window functions) 

Demonstrated ability to run requirements-gathering conversations and turn vague asks into scoped deliverables 

Hands-on use of AI tools in analytical work, with the judgment to evaluate output quality and spot unsupported answers. 

Experience facilitating trainings, workshops, or demos for non-technical audiences 

Excellent written and verbal communication, with the ability to explain data clearly 

Strong attention to detail and a habit of validating numbers before sharing them

Experience with Snowflake or another cloud data warehouse 

Familiarity with DAX and dimensional modeling concepts 

Experience writing business definitions, synonyms, or test cases for AI-driven or natural-language analytics tools. 

Background in finance, FP&A, or sales operations 

Exposure to dbt, Fivetran, or modern data stack tools 

Experience building a data community or champions program 

Bachelor’s degree in Finance, Business, IT, Analytics, or a related field (or equivalent experience)