Business Intelligence Analyst
$120,000 - $175,000 per year
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Posted yesterday
SENIORITY
Senior
SALARY
$120,000 - $175,000 per year
About the role
- 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 What You'll Bring: 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 Preferred Qualifications: 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
