Senior Data Analyst

You are a highly skilled and detail-oriented Senior SQL Data Analyst who will be joining a data-driven team. Your main responsibility will involve leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, thus delivering actionable insights to support crucial business decisions. You will collaborate closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies throughout the organization. Your key responsibilities will include developing, writing, and optimizing advanced SQL queries to retrieve and analyze data from various sources. Additionally, you will be responsible for designing and maintaining complex data models, dashboards, and reports. Collaboration with stakeholders to comprehend business needs and translate them into analytical requirements will be a crucial aspect of your role. You will conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement, ensuring data integrity and accuracy across systems and reporting tools. Automation of recurring reports and development of scalable data pipelines will also be part of your responsibilities. Furthermore, you will be required to present your findings in a clear, compelling manner to both technical and non-technical audiences. **Qualifications:** **Required:** - Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. - 5+ years of experience in data analysis or a similar role with a strong focus on SQL. - Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). - Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). - Experience with BI tools like Tableau, Power BI, or Looker. - Excellent analytical, problem-solving, and communication skills. **Preferred:** - Experience with scripting languages (Python, R) for data manipulation. - Familiarity with cloud data platforms (AWS, Azure). - Knowledge of ETL tools and best practices. - Previous experience in a fast-paced, agile environment.,