Swans - Business Intelligence Analyst
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Requirements
• Professional English fluency: B2 level at a minimum. • Professional English fluency • Ideal background • Ideal background • 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 • any industry • professional services, consulting, or agencies • 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 • full data lifecycle • Experience extracting and working with data from multiple systems APIs, native exports, CRM and PM tool data pulls, etc. • extracting and working with data from multiple systems • Experience with CRM and PM platforms (e.g. HubSpot, Salesforce, Asana, Monday.com, ClickUp, Airtable) as data sources • CRM and PM platforms • Experience with BI and visualization tools (e.g. Looker Studio, Power BI, Tableau, Metabase) • BI and visualization tools • Experience with data infrastructure (e.g. BigQuery, Snowflake, dbt, or similar) • data infrastructure • Experience with automation tools (e.g. Zapier, Make, n8n) to streamline data workflows • automation tools • Exposure to AI/GenAI applied to data workflows (e.g. AI-assisted data cleaning, summarization, anomaly detection) • AI/GenAI • Comfort working with REST APIs for data extraction and integration • REST APIs • Note: We don't expect candidates to have ALL of the above. We care far more about proven ownership and problem-solving than a perfect tool checklist. • Note: • Portfolio or work samples preferred show us a dashboard you built, a pipeline you designed, or a data project that drove a real business outcome. • This role will NOT be a fit if • You've spent your career as a specialist in one part of the data stack and haven't owned the full process end-to-end • You've only worked in large data teams where extraction, cleaning, modeling, and visualization were handled by different people • You want to focus purely on analysis without getting into the engineering and tooling that makes it possible • You're looking for a "chill" 40-hour job environment, this role is intense and you'll be pushed daily • intense • You prefer to be assessed on inputs, this role requires you to own your outputs and your clients' results • outputs • You need a structured, predictable corporate environment, priorities can shift quickly and we have zero tolerance for bureaucracy or office politics • Location & schedule • Location & schedule • Fully Remote, with quarterly in-person meetups in locations chosen by popular team vote (potential lineup: USA, Tokyo, Dubai, Bangkok) • Fully Remote • Flexible schedule, but availability required for client meetings Mon–Fri, morning US hours (afternoon–evening Eastern European Time) • Flexible schedule • We operate in focused 4-week sprints with clear goals and success metrics. You'll own concrete outcomes every sprint, data pipelines live, dashboards deployed, insights delivered. • focused 4-week sprints
Benefits
• If you're a high-performer frustrated by corporate bureaucracy, endless approvals, and career ladders based on tenure, this is your off-ramp. We are an anti-bureaucratic team for ambitious professionals who want their impact measured by results, not by time-in-seat. • If you've been the "only data person" at a company and loved the ownership but lacked the opportunity - this is your upgrade. You get the same end-to-end ownership, plus an elite team backing you up. • What we need • Full data lifecycle ownership: You have personally owned the complete pipeline: extraction, cleaning, transformation, modeling, and visualization. You haven't specialized in just one layer. • Full data lifecycle ownership • Builder mentality: You don't wait for a data engineer to set up the pipeline. You build it, own it, and fix it. • Builder mentality • Analytical clarity: You don't just surface numbers; you translate data into insights that non-technical stakeholders can act on. You ask the right questions before you write a single query. • Analytical clarity • Autonomy: You can identify what data is needed, figure out how to get it, and deliver the answer without being micromanaged. • Autonomy • Curiosity: You stay sharp on new tools, automation approaches, and AI capabilities and apply them practically. • Curiosity • Communication skills: You can present findings clearly to a non-technical audience. Client-facing experience is a plus, not a requirement. • Performance-based bonus & promotion path • 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 • Our Mission • The legal industry is broken, outdated, overpriced, and structurally rigged against innovation and access. Today, 92% of low-income households can't afford legal help, and meaningful reform is blocked by laws that prohibit non-lawyers from owning or operating law firms. • Our mission is to change that. By equipping law firms with cutting-edge tech and world-class operations, we will push the industry 10 years forward delivering faster, better, and more affordable legal services at scale. • Swans Core Values • Swans Core Values • Value alignment is non-negotiable. Because of the close collaboration with the founding team and the direct impact on clients, it's essential that you genuinely connect with and embody our commitment to our core values: • Relentless Excellence: "We pursue mastery in every detail, not for perfection's sake, but because success with our clients and mission requires it." • Relentless Excellence: • Radical Integrity: "We choose transparency, honesty, and accountability, not for virtue's sake, but because trust is the only way our work succeeds." • Radical Integrity: • Sincere Care: "We care enough to anticipate needs and act with empathy and intention, because genuine connection drives everything we build." • Sincere Care: • Our standards are high historically, less than 0.5% of candidates possess the rare combination of technical aptitude, client-facing skills, and cultural alignment we require.
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