Information Data Manager
4 days ago
About Pearl Talent:
Pearl is a leading recruitment agency that connects exceptional candidates with top startups in the US and EU. We're seeking a talented Data Analyst to join our team and contribute to the growth of our clients.
Company OverviewThe company we're partnering with is a SaaS platform that provides innovative tools for product teams to communicate effectively with their customers. With a focus on product-led growth, they're simplifying product announcements, user feedback, and engagement.
Data Analyst RoleWe're looking for an experienced Data Analyst to play a critical role in driving data adoption across the organization. As a Data Analyst, 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.
Key Responsibilities- Data Insights
- Provide actionable data analysis and insights to support functional leaders.
- Collaborate across teams to define data needs and refine data requirements.
- Data Visualization
- 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.
- ETL Development
- Develop and optimize ETLs to enrich and manage data sources within a data lake.
- Collaboration
- 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.
Essential Skills:
- 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.
Desirable Skills:
- Experience with interactive data visualization libraries like Plotly and Streamlit.
- Previous experience working with data lakes and large-scale data systems.
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