Mid or Senior Level Data Analyst/Data Scientist
Role summary
Boxplot is seeking a senior-level Data Professional for a remote, full-time role. This position involves building production-ready dashboards and Python/Pandas analysis pipelines, translating business needs into technical workflows, and leading client engagements. The ideal candidate will have advanced proficiency in SQL, Python, and Pandas, with experience in Tableau, and a strong ability to manage projects and documentation autonomously. Familiarity with cloud platforms like Azure or AWS is preferred. This role requires a strategic thinker capable of bridging data engineering with business storytelling in a fast-paced, client-facing consulting environment.
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? Please only apply if you are a US Citizen.
- Yes or no: Are you willing to work in a remote environment where 'over-communication' style is our standard?
- Yes or no: Are you willing to document all of your work and refine documentation based on feedback as needed?
- Yes or no: Are you comfortable switching between different client projects and datasets sometimes multiple times per day? (We don't work on one dataset for long periods)
Work Location: Remote