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Senior Data Analyst

Roles & Responsibilities

  • Strong proficiency in SQL (joins, CTEs, window functions, optimization).
  • Hands-on expertise in advanced Python (Pandas, NumPy) 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 and solid communication skills to collaborate with team members and stakeholders.

Requirements:

  • Write and optimize complex SQL queries for data extraction, transformation, and reporting.
  • Leverage advanced Python (Pandas, NumPy) 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; present findings clearly to technical and non-technical stakeholders.

Job description

This is a remote position.

Job Title: Data Analyst – SQL, Advanced Python, Google Sheets
Role Overview: We are seeking a highly skilled Data Analyst with strong expertise in SQL, advanced Python, and Google Sheets. The ideal candidate should possess excellent problem-solving skills, analytical thinking, and good communication abilities to support data-driven decision-making across teams.
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).

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