Data Analyst (SaaS Company)

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.

Role Overview:

As a Data Analyst at the company, you will play a critical role in driving data adoption across the organization. You’ll work closely with functional leaders and collaborate with data science and platform teams to build and maintain ETLs, reports, and interactive dashboards that provide actionable insights. This role is perfect for someone who thrives in a data-driven culture and is eager to contribute to the company's growth and success by ensuring data is used strategically across the business.

Your Impact:
You will shape the data landscape at the company, enhancing data visibility across teams and empowering informed decision-making. Your work will directly impact business strategies and operational success, driving data initiatives that support the company’s growth.

Key Responsibilities:

1. Strategic Data Analysis
• Support functional leaders by providing actionable data analysis and insights.
• Collaborate across teams to define data needs and refine data requirements
  
2. Data Visualization & Reporting
• Build and maintain dashboards, reports, and interactive data apps using Python tools like Pandas, Jupyter, and Streamlit.
• Ensure all data visualizations are clear, accurate, and easily actionable.
  
3. ETL Development
• Develop and optimize ETLs to enrich and manage data sources within a data lake.
  
4. Collaboration & Data Integrity
• Work with cross-functional teams to maintain the accuracy and integrity of data across systems.
• Champion data adoption within the company and help foster a data-driven culture.

Requirements:

Must-Have:

• 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

Nice-to-Have:

• Experience with interactive data visualization libraries like Plotly and Streamlit
• Previous experience working with data lakes and large-scale data systems

Compensation Package:

• 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

Our Recruitment Process:

1. Application
2. Screening
3. Top-grading Interview
4. Skills Assessment
5. Client Interview
6. Job Offer
7. Client Onboarding

Ready to Join Us?

If this role aligns with your skills and career goals, we’d love to hear from you. Apply now to take the next step in your journey with the company.