Data Analyst

December 9

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Description

• Work Arrangement: Remote or In-Office (India) • Job Type: Full-time • Work Schedule: 40 hours per week, with core hours between 9 AM – 6 PM Eastern Time • Location: Remote • About Pearl Talent: Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. 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. • Why Work with Us? We mean what we say that we’re building a different recruiting company here. We only work with exceptional founders from the US and EU who care about the long-term success of their team members. We also provide you with attainable 3, 6, 9, 12 month, and beyond retention bonuses in addition to community-oriented opportunities like an annual retreat. • About the Company: The company is a SaaS platform that specializes in helping product teams and marketers communicate effectively with their customers. With a focus on product-led growth (PLG), 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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