We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters; around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are seeking a skilled and detail-oriented Data Business Analyst to join our team. The ideal candidate will have a strong foundation in data analysis, data modeling, and problem-solving skills. You will be responsible for executing data exploration, root cause analysis of data issues, and ensuring the integrity and accuracy of our data systems. Responsibilities: 1. Collaborate with cross-functional teams to define business requirements and translate them into technical specifications. 2. Develop and implement data models to support various business initiatives. 3. Conduct thorough data exploration to identify trends, anomalies, and areas for improvement. 4. Partner with data engineers to perform root cause analysis on data issues, determining underlying problems and recommending solutions. 5. Execute unit, integration, and user acceptance tests (UAT) to ensure data quality and system functionality. 6. Ensure data integrity and accuracy through regular audits and validation processes. 7. Create and maintain comprehensive documentation of data processes, models, and analytical methodologies. 8. Maintain and manage the data catalog to ensure data assets are well-documented and easily accessible. 9. Present findings and recommendations to stakeholders through clear and concise reports. 10. Monitor and evaluate data quality metrics to maintain the integrity of data systems. 11. Stay updated on industry trends and best practices in data analysis and modeling. Requirements for this challenge: 1. Bachelor’s degree in Computer Science, Business Administration, or a related field. 2. Proficient in SQL and experience with data exploration. 3. Strong analytical skills with a proven ability to interpret complex data sets. 4. Excellent problem-solving skills and attention to detail. 5. Familiarity with testing methodologies and documentation practices. 6. Excellent proficiency in English, both written and verbal, for clear communication of complex data concepts to diverse audiences. 7. Strong communication skills, with the ability to convey technical information to non-technical stakeholders. 8. Ability to work independently and collaboratively in a team environment. Nice to have: - Experience in Databricks is preferred. - Python is a plus. - Experience with Power BI #J-18808-Ljbffr