At Source Credit, we have our plans to serve you better right at the center of all we do, and our service offerings. We also ensure we give the best customer service experience that is tailored just for you.
- 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.
Method of Application
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