Data Analyst
9 hours ago
Description
• Work Arrangement: Remote • Job Type: Full-time • Work Schedule: 40 hours per week, with core hours between 9 AM – 6 PM Eastern Time • Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. • Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US. • We provide you with attainable 3, 6, 9, 12 month, and beyond retention bonuses in addition to community-oriented opportunities like an annual retreat. • The company is a SaaS platform that specializes in helping product teams and marketers communicate effectively with their customers. • They provide powerful, no-code tools that simplify product announcements, user feedback, and engagement. • Profitable and backed by experienced investors in the SaaS space, the company is in a phase of exciting growth. • They are building a collaborative and innovative environment where talented individuals can make a real impact in transforming the way product teams work.
Requirements
• Strong understanding of SaaS business data analysis and typical views • Proficiency in Python, especially data manipulation with Pandas and Jupyter • Advanced SQL skills, including joins and CTEs • Experience with GitHub as a collaborative tool • Strong communication skills, particularly in data presentation • Experience with interactive data visualization libraries like Plotly and Streamlit • Previous experience working with data lakes and large-scale data systems
Benefits
• Competitive Salary: Up to $1500 per month, based on experience and skills • Remote Work: Fully remote—work from anywhere • Generous PTO: Paid time off (Vacation, Sick & Public Holidays) • Direct Mentorship: Access to mentorship from global industry experts • Learning & Development: Continuous professional growth opportunities • Global Networking: Connect with professionals worldwide • Work-Life Balance: Flexible hours to support a balanced lifestyle
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