Data Analyst

∙ Extract, clean, transform, and analyze large datasets from relational (e.g., SQL) and non-relational databases (e.g., NoSQL, MongoDB). ∙ Create comprehensive reports, dashboards, and visualizations using tools such as Tableau, Power BI, or similar platforms. ∙ Present data-driven insights to senior management and other stakeholders in an understandable and actionable format. ∙ Identify trends, patterns, and anomalies in data to solve business problems and improve operational efficiency. ∙ Recommend improvements to data collection, storage, and analysis methods to enhance accuracy and reliability. . Stay updated with industry best practices and emerging technologies in data analytics. Requirements ∙ Proven experience working with both relational (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra). ∙ Strong knowledge of data visualization tools such as Metabase, Tableau, Power BI, or Apache Superset. ∙ Understanding of ETL (Extract, Transform, Load) processes and data warehousing concepts. ∙ Excellent communication skills to convey complex data insights to non-technical audiences. . Strong problem-solving abilities and attention to detail.