Data Analyst

Overview: Job Description - Data Analyst Responsibilities Analyze complex datasets delivered through Databricks/Spark pipelines to extract actionable business insights. Write efficient SQL queries to retrieve, manipulate, and validate data across large relational and distributed systems. Develop and maintain dashboards, reports, and visualizations (Power BI, Tableau, or similar) to communicate findings to stakeholders. Collaborate with Data Engineers to ensure data quality, consistency, and accuracy in the pipelines. Work with business teams and data scientists to translate requirements into data-driven solutions. Perform ad-hoc analysis , data validation, and statistical exploration to support decision-making. Document data sources, definitions, and business logic for transparency and reusability. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. 10+ years of experience as a Data Analyst (or similar role). Strong proficiency in SQL (complex queries, joins, aggregations, window functions). Experience with data visualization tools (Tableau, Power BI, Looker, etc.). Solid analytical skills with ability to work with large datasets and translate data into insights. Familiarity with Python (Pandas, NumPy) or R for statistical analysis. Understanding of data modeling concepts and ability to work closely with Data Engineers. Excellent communication and presentation skills for conveying insights to technical and non-technical audiences. Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP) for querying and analysis. Experience with Databricks/Spark for data exploration (basic familiarity is enough, since Engineers handle heavy lifting). Knowledge of statistics and A/B testing to support product or process improvements. Experience with GitHub or version control systems for collaborative workflows. Purple Drive