Data Analyst

Job Title: Data Analyst

Key Responsibilities: Write and optimize complex SQL queries for data extraction, transformation, and reporting. Leverage advanced Python (Pandas, NumPy, etc.) for data analysis, automation, and building scalable scripts. Work extensively with Google Sheets for reporting, dashboards, and collaboration with business teams. Analyze large datasets, identify patterns, and provide actionable insights to support decision-making. Collaborate with cross-functional teams to solve business problems using data-driven approaches. Present findings clearly and concisely to both technical and non-technical stakeholders.

Required Skills: Strong proficiency in SQL (joins, CTEs, window functions, optimization). Hands-on expertise in advanced Python for data wrangling, automation, and analysis. Good working knowledge of Google Sheets (functions, pivot tables, lookups; scripting is a plus). Excellent problem-solving ability with an analytical and structured approach. Decent communication skills to collaborate effectively with team members and stakeholders.

Good to Have: Experience with data visualization tools (Tableau, Looker, Power BI). Exposure to cloud platforms (AWS, GCP, or Azure). Knowledge of version control (Git).