Data Analyst - SQL, Python

Requirements

Must have:

- Strong proficiency in Python for data analysis (Pandas, NumPy) - Solid knowledge of SQL for querying relational databases - Experience using Generative AI tools (ChatGPT, Claude, Gemini, etc.) for analytics, automation, or productivity - Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly) - Understanding of data cleaning, transformation, and exploratory data analysis (EDA) - Strong analytical thinking and problem-solving abilities

Responsibilities:

- Analyze extensive datasets utilizing Python (Pandas, NumPy) to uncover trends and insights - Write and refine SQL queries to extract and analyze data from databases - Employ Generative AI tools (LLMs, AI assistants) to automate data exploration, summarization, and reporting tasks - Construct scripts and workflows in Python to facilitate data processing and analysis - Create data visualizations and dashboards using Python libraries (Matplotlib, Seaborn, Plotly) or BI tools like Tableau/Power BI - Collaborate with product, marketing, and business teams to establish metrics and promote data-driven decision-making - Conduct data cleaning, transformation, and validation to ensure the integrity of data - Assist in developing AI-assisted analytics workflows and test new GenAI-powered tools

Company:

We are seeking a Data Analyst with robust Python skills and familiarity with Generative AI tools to enhance our data analysis, workflow automation, and insight generation for our business teams. This role offers flexibility with a hybrid remote schedule based in Sunnyvale, CA. We value collaborative efforts, and our team is dedicated to data-driven practices. Our compensation ranges from $120,000 to $150,000 per year, and we provide relocation assistance for successful candidates. We encourage individuals with diverse backgrounds, including those with a criminal record, to apply.