Business Intelligence Analyst
Swans
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- You will own the full data lifecycle: from extraction and cleaning, through transformation and modeling, to compelling dashboards that surface the insights leaders actually act on.
- You'll also layer in automation and AI where they make the data smarter, fresher, and less dependent on manual effort.
- Your job is to take fragmented, messy data, spread across disconnected tools and systems, and turn it into a single source of operational truth.
- You're embedded in multiple client engagements at a time, owning the data function end-to-end.
- You'll identify what data matters, figure out how to get it, clean and structure it, and deliver dashboards and insights that give decision-makers a clear picture of what's happening in their business and what to do about it.
- You're not just a report-builder; you're a strategic data partner who can take a business problem, trace it back to the data, and come back with something that changes how leadership operates.
Requirements
- 2–5 years of experience in a BI, data analyst, or analytics engineering role
- Background in any industry is welcome; we don't require domain expertise. That said, experience in professional services, consulting, or agencies (rather than purely product/SaaS) is a strong plus, as is prior client-facing experience
- Ideally from a company of 50–200 people where you wore multiple hats, rather than one function in a large data org
- Proven ownership of the full data lifecycle, not one slice of a large team's pipeline
- Experience extracting and working with data from multiple systems: APIs, native exports, CRM and PM tool data pulls, etc.
- Experience with CRM and PM platforms (e.g. HubSpot, Salesforce, Asana, Monday.com, ClickUp, Airtable) as data sources
- Experience with BI and visualization tools (e.g. Looker Studio, Power BI, Tableau, Metabase)
- Experience with data infrastructure (e.g. BigQuery, Snowflake, dbt, or similar)
- Experience with automation tools (e.g. Zapier, Make, n8n) to streamline data workflows
- Exposure to AI/GenAI applied to data workflows (e.g. AI-assisted data cleaning, summarization, anomaly detection)
- Comfort working with REST APIs for data extraction and integration
Benefits
- Competitive salary
- Performance-based bonus & promotion path
- Flexible benefits
- Career-defining growth investment: we spent over $200,000 on team development last year, executive coaching, certifications, and training that accelerates your career beyond any traditional path
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data extractiondata cleaningdata transformationdata modelingdata visualizationdata analysisautomationAIREST APIsdata lifecycle management
Soft Skills
strategic thinkingproblem-solvingclient-facing communicationcollaborationadaptabilityownershipinsight generationorganizational skillsattention to detailinterpersonal skills