Data Analytics Engineer
hace 3 semanas
About Exus Ltd
Founded in 1989, Exus Ltd is a pioneering enterprise software company dedicated to simplifying risk management solutions. Our flagship product, the Financial Suite (EFS), has been trusted by financial entities worldwide for over two decades. With a presence in more than 40 countries, we continue to innovate and expand our capabilities into data Lakehouse architecture.
About the Role
We are seeking an exceptional Junior/Mid Data Analytics Engineer to join our dynamic team. This is an exciting opportunity to work with leading visualization tools, craft advanced SQL queries, and develop reports and dashboards that drive business insights. As a key member of our team, you will collaborate with stakeholders to gather and analyze requirements, deliver training sessions, and communicate findings effectively to both technical and non-technical audiences.
Main Responsibilities:
- Develop and maintain reports and dashboards using industry-leading visualization tools.
- Craft advanced SQL queries to generate reports and provide actionable insights.
- Deliver engaging training sessions on our Analytic Solution and effectively communicate findings to various audiences.
- Collaborate with business stakeholders to gather and analyze requirements.
- Debug issues in the front-end analytic tool, investigate underlying causes, and resolve these issues.
- Monitor and maintain ETL processes as part of our transition to a data lakehouse architecture.
- Proactively investigate and implement new data analytics technologies and methods.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 1-5 years of experience with data visualization tools and techniques.
- Familiarity with MicroStrategy and Apache Superset is a plus.
- 1-5 years of experience with Data Warehouses, Big Data, and/or Cloud technologies.
- Exposure to these areas in academic projects, internships, or entry-level roles is also acceptable.
- Familiarity with PL/SQL and practical experience with SQL for data manipulation and analysis.
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