Senior Data Analyst

Key Responsibilities

Lead data analysis projects from requirements gathering through delivery Analyze large, complex datasets to identify trends, patterns, and business opportunities Develop and maintain dashboards, reports, and visualizations for stakeholders Translate business questions into analytical frameworks and actionable insights Design and optimize SQL queries and data models Partner with cross-functional teams (Product, Marketing, Finance, Operations, etc.) to support strategic initiatives Conduct A/B testing and statistical analysis to evaluate performance and outcomes Ensure data quality, consistency, and governance standards Mentor junior analysts and provide technical guidance Present findings and recommendations to senior leadership Required Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field 4–6+ years of experience in data analysis or business intelligence Advanced proficiency in SQL Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with statistical analysis and experimentation Proficiency in Excel and at least one programming language (e.g., Python or R) Strong analytical thinking and problem-solving skills Excellent communication and presentation skills Preferred Qualifications Master’s degree in a quantitative field Experience working with large-scale data warehouses (e.g., Snowflake, BigQuery, Redshift) Knowledge of data engineering concepts and ETL processes Experience in a specific industry (e.g., SaaS, finance, healthcare, e-commerce) Familiarity with machine learning concepts