Business Intelligence Analyst

Job not on LinkedIn

🕒 February 23

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📚 Business Intelligence Analyst

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Swans

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚖️ Legal

💼 Consulting

🤖 Artificial Intelligence

Legal • Consulting • Artificial Intelligence

Swans is a law firm growth company focused on Personal Injury firms that builds and implements custom automation and AI-driven systems to streamline the entire case lifecycle from intake to case close. They provide hands-on services (not just software) to reduce administrative work, automate intake and document drafting, increase revenue per employee, and scale firms more efficiently and profitably.

📋 Description

• 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