Mid or Senior Level Data Analyst/Data Scientist

About the Role Boxplot is looking for a versatile, senior-level Data Professional to join our hands-on consulting team. This is a high-impact role where you will dive into diverse client ecosystems, solving complex problems across multiple industries. We aren't looking for someone to just "run queries"—we need a strategic thinker who can bridge the gap between sophisticated data engineering and clear business storytelling. As a remote-first firm, we value radical transparency, high-level ownership, and the ability to work autonomously. What You’ll Do • Build production-ready dashboards and Python/Pandas analysis pipelines that drive real business decisions. • Translate vague business questions into structured technical workflows. • Act as a lead on client engagements, eventually taking full ownership of communication and project management. • Maintain high-quality, extensive technical documentation to ensure project continuity and client success. • Leverage tools like n8n and APIs to streamline workflows and integrate emerging AI technologies. • Manage and peer-review work from specialized contractors to ensure Boxplot’s quality standards are met. Technical Requirements We are looking for a "hit-the-ground-running" expert. You should have 5+ years of experience (minimum 3) in a data-heavy role. • Advanced proficiency in SQL, Python, and Pandas. • Ability to create advanced, insight-driven dashboards in Tableau (Power BI is a plus). • Familiarity with Azure, AWS, or Microsoft Fabric is highly preferred. • Previous experience in a client-facing or agency environment is a significant advantage. More About the Role and Our Culture To thrive here, you should identify with the following: • You enjoy switching gears between projects and stay calm in a fast-paced environment. • You have a "figure it out" mentality and don't require constant hand-holding to deliver high-quality code. • You understand that in a remote environment, visibility is key. You are proactive about sharing daily progress and keeping stakeholders in the loop. • You can explain complex technical concepts to non-technical clients with ease and grace. Compensation & Benefits • Salary: $100,000 / year. • Flexibility: We offer a very high degree of autonomy. As long as you are meeting deadlines and are available during US-based timezones, you control your schedule and location. • Benefits: 401k (4% match), disability insurance, workers' comp, and a generous, flexible PTO/sick day policy. • Health Insurance: While we do not offer a group plan, we provide a negotiable stipend to help cover your Marketplace insurance costs. Interview Process • Introductory Call (30 min): A vibe check to discuss your background and our culture. • Technical Deep Dive (30-60 min): A practical review of your technical skills and problem-solving approach. Pay: $100,000.00 per year Benefits: • 401(k) • 401(k) matching • Flexible schedule • Paid time off Application Question(s): • "As a small company, we don't have the ability to sponsor VISAs. Are you already a US Citizen? • At Boxplot, we believe high-quality documentation is just as important as the code itself to ensure long-term client success. Can you describe your process for documenting complex data workflows? Are you comfortable with a collaborative review process where documentation is refined based on peer or client feedback? • In a fully remote consulting environment, proactive communication is our primary tool for alignment. We lean heavily into daily status updates and frequent client touchpoints to keep projects moving. Does this high-visibility, 'over-communication' style align with how you prefer to work and manage your day? • This is a fast-paced consulting role where priorities can shift rapidly based on client emergencies. You might start your morning on a deep-dive analysis for Project A, pivot to a high-priority fix for Project B, and end the day with a status check on Project C. Do you find that you thrive in high-variety environments that require frequent context-switching, or do you prefer to focus on a single stream of work for long periods? Work Location: Remote Apply tot his job