Description
EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software. EXUS launched its Financial Suite (EFS) in 2003 to support financial entities worldwide to improve their results. Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than
32 countries worldwide (MENA, EU, SEA). We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.Our people constitute the source of inspiration that drives us forward and helps us fulfill our purpose of being role models for a better world.This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people.
Our shared Values:
- We are transparent and direct
- We are positive and fun, never cynical or sarcastic
- We are eager to learn and explore
- We put the greater good first
- We are frugal and we do not waste resources
- We are fanatically disciplined, we deliver on our promises
We are EXUS!
Are you?
Join our dynamic Data Analytics Team as we expand our capabilities into data Lakehouse architecture. We are seeking a Junior/Mid Data Analytics Engineer who is enthusiastic about creating compelling data visualizations, effectively communicating them with customers, conducting training sessions, and gaining experience in managing ETL processes for big data.
Requirements
Key Responsibilities:
- Develop and maintain reports and dashboards using leading visualization tools, and craft advanced SQL queries for additional report generation.
- Deliver training sessions on our Analytic Solution and effectively communicate findings and insights to both technical and non-technical customer 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.
Required Skills and Qualifications:
- A BSc or MSc degree in Computer Science, Engineering, or a related field.
- 1-5 years of experience with data visualization tools and techniques. Knowledge of 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. Hands-on experience through academic coursework, personal projects, or job experience is valued.
- Familiarity with data Lakehouse architecture.
- Excellent analytical skills to understand business needs and translate them into data models.
- Organizational skills with the ability to document work clearly and communicate it professionally.
- Ability to independently investigate new technologies and solutions.
- Strong communication skills, capable of conducting presentations and engaging effectively with customers in English.
- Demonstrated ability to work collaboratively in a team environment.
Benefits
- Competitive salary
- Friendly, pleasant, and creative working environment
- Remote Working
- Development Opportunities
- Private Health Insurance
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