Oyster HR is a global employment and HR platform that helps companies manage distributed teams by streamlining HR workflows, ensuring compliance, and providing global payroll and benefits. Essentially, we simplify the complexities of hiring, onboarding, paying, and supporting international team members.
Job Overview
You’ll join a close-knit group of analysts who partner with Product, Operations and Revenue to surface insights that fuel strategic growth and optimize performance across the business. In this role, you’ll translate complex datasets into clear, compelling stories that directly influence high-impact initiatives—whether that’s streamlining our operational workflows, uncovering new revenue opportunities, or shaping our global hiring strategy. If you’re passionate about turning raw data into action and want to see your work move the needle at a fast-growing, mission-driven company, this is the role for you.
Key Responsibilities
- Insight & Analysis: Conduct data exploration and ad-hoc analyses to uncover trends, identify anomalies, and surface growth or efficiency opportunities. Translate analytical findings into actionable insights and recommendations for key stakeholders.
- Dashboard & Report Delivery: Build and maintain scalable, visually compelling dashboards and recurring reports in a BI tool to track KPIs and operational performance. Help define and standardize business metrics.
- Data Quality & Governance: Support data accuracy and consistency by documenting metric definitions and working with data engineering partners to troubleshoot and resolve data issues.
- Stakeholder Partnership & Communication: Collaborate closely with Product, Operations, and Revenue teams to understand business goals, develop analyses, and present findings. Communicate results clearly and with appropriate context to both technical and non-technical audiences up to executive level.
- Analytical Collaboration & Best Practices: Contribute to the team’s knowledge base by sharing best practices and collaborating on analytical approaches. Continuously seek opportunities to improve workflows and analysis quality.
Requirements
- Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, Economics, Engineering, or similar.
- 3–4 years of total experience in a data-related field, with at least 2 years in a hands-on analytics role—ideally in a product-led, SaaS, or technology environment.
- Strong SQL proficiency, including experience querying large datasets and writing efficient, maintainable queries.
- Experience building dashboards and reports using BI tools such as Looker, Power BI, Tableau, or Mode.
- Experience with data analytics platforms and modern data environments (e.g., Pendo, Amplitude, Google Analytics)
- Demonstrated ability to analyze business problems, structure hypotheses, interpret data, and communicate findings with clarity and impact.
- Demonstrated ability to synthesize complex datasets into clear, executive-ready insights that drive strategic initiatives, such as operational process optimization or business performance improvements.
- Strong communication and data storytelling skills, with the ability to engage cross-functional partners and explain complex topics simply.
Bonus
- Experience with Python for data analysis, automation, or simple modelling tasks.
- Exposure to or experience with Snowflake Cortex or other AI/ML-enabled analytics environments.
- Basic knowledge of A/B testing or other statistical methods for evaluating business performance.
Method of Application
Meet the qualifications? Apply now at Oyster HR on jobs.ashby.com/oyster-hr.