Swans is looking for a Business Intelligence Analyst to own the full data lifecycle end-to-end for client engagements. You will act as a strategic data partner, translating business problems into clear, actionable insights.

What You'll Do

Own the full data lifecycle: extraction, cleaning, transformation, modeling, and visualization for multiple client engagements.
Turn fragmented, messy data from disconnected tools into a single source of operational truth.
Deliver dashboards and insights that give decision-makers a clear picture of their business and what to do about it.
Layer in automation and AI to make data smarter, fresher, and less dependent on manual effort.
Identify what data matters, figure out how to get it, and deliver answers without being micromanaged.

What We're Looking For

2–5 years of experience in a BI, data analyst, or analytics engineering role.
Proven ownership of the full data lifecycle (extraction, cleaning, transformation, modeling, visualization).
Builder mentality: you build, own, and fix data pipelines.
Ability to translate data into insights that non-technical stakeholders can act on.
Autonomy to identify needed data, figure out how to get it, and deliver answers.
Curiosity to stay sharp on new tools, automation, and AI capabilities.
Professional English fluency at B2 level minimum.

Nice to Have

Experience in professional services, consulting, or agencies (rather than purely product/SaaS).
Prior client-facing experience.
Experience from a company of 50–200 people where you wore multiple hats.
Experience with CRM and PM platforms (e.g., HubSpot, Salesforce, Asana, Monday.com, ClickUp, Airtable) as data sources.
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).
Portfolio or work samples showing a dashboard, pipeline, or project that drove a real business outcome.

Technical Stack

BI and visualization tools (e.g., Looker Studio, Power BI, Tableau, Metabase)
Data infrastructure (e.g., BigQuery, Snowflake, dbt, or similar)
Automation tools (e.g., Zapier, Make, n8n)
REST APIs for data extraction and integration

Team & Environment

You'll join an international team of 10, expecting to grow to 30+ in the next 12 months. You'll be embedded in multiple client engagements, owning the data function end-to-end.

Benefits & Compensation

Competitive salary.
Performance-based bonus & promotion path.
Flexible benefits.
Career-defining growth investment: over $200,000 spent on team development last year (executive coaching, certifications, training).