Data Analyst - India

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Requirements:

• Strong understanding of SaaS business data analysis strategy and typical views.
• Strong proficiency with Python, including data analysis/manipulation libraries such as Pandas and Jupyter.
• Strong proficiency with SQL for querying from data lakes/warehouses, including advanced joins and CTEs.
• Experience using GitHub as a collaborative coding tool.
• Familiarity with interactive data visualization libraries like Plotly and Streamlit.
• Excellent communication and collaboration abilities, especially when it comes to data presentation.
• Strong English proficiency.

Responsibilities:

• Support functional leaders in developing strategic data analyses.
• Manipulate and visualize diverse data sources to derive actionable insights.
• Partner with data engineers and scientists to enhance organizational data capabilities.
• Build analyses, dashboards, and interactive data apps using Python libraries such as Pandas, Plotly, and Streamlit.
• Develop ETLs to optimize data sources within a data lake.
• Ensure data accuracy and integrity across all representations.
• Work within cross-functional teams to define and refine data requirements.
• Champion data adoption and foster a data-driven culture across the organization.