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.