Data Analyst

Primary Skills: Data Analysis, SQL, Product-Led-Growth, Scenario & Historical Data Analysis. Location: San Francisco, CA (Remote) Duration: 6 months Contract Type: • • • W2 only • • • Job Description: • We are seeking a highly skilled and motivated Data Science Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing data-driven solutions that empower our organization to make informed decisions. What You'll Do: • Collaborate with cross-functional teams to identify business needs, provide insights, and translate requirements into technical solutions. • Analyze business and financial data to provide actionable recommendations for automation and process improvements. • Create and maintain dashboards and visualizations to effectively communicate data insights. • Support metrics development for key outcomes like customer retention, propensity to convert, and churn prediction. • Design, develop, and maintain data pipelines and workflows to support analytical and operational needs. • Develop and maintain sophisticated quantitative models to improve decision-making by analyzing historical data and conducting scenario analysis. Skills: • 5 - 7 YOE • Proficiency in SQL and Programming Languages: Strong experience with SQL for querying and managing data, and expertise in Python or similar programming languages for data analysis and modeling. • Analytical Thinking: Demonstrated ability to approach complex problems methodically, analyze data critically, and deliver actionable insights. • Experience with Data Visualization Tools: Hands-on experience with tools like Tableau, Power BI, or equivalent for creating compelling and informative visualizations. • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. • Knowledge of statistical analysis and machine learning techniques. • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. • Familiarity with PLG (Product-Led Growth) strategies and metrics is a plus. • Strong understanding of statistical methods, hypothesis testing, and experimentation design. (optional)