Senior Data Analyst

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.

You'll also need

• A reliable home internet connection (or be able to get one)
• Fluent English language skills