Who we're looking for
Requirements:
- Bachelor/engineer degree (preferred computer science, information management, mathematics or any related field)
- 4+ years of professional experience in implementing/delivering BI solutions
- Extensive experience with business intelligence solutions (one of Looker, Tableau, Power BI)
- Knowledge of SQL, ETL and data transformation techniques and patterns
- Working experience with OLAP, Dimensional Modeling, Transactional data, normalization
- Passion to grow and learn
- Team-player mindset
- Good level of English
Your responsibilities
- Analyze business requirements and convert them into technical designs
- Analyze data structures and transform row data for reporting needs
- Develop business data models to be used in analytical workflows
- Build reports and dashboards according to users’ requirements for data visualization and analytics
- Deliver business applications for clients using state of the art BI tools (Looker, Tableau, Power BI)
- Support data architects in building analytics architectures
- Take active part in pre-sales as well as post-sales activities
- Work with clients throughout the whole project cycle (Business understanding, Data understanding, Modeling, Evaluation and Deployment)
- Cooperation with subject matter experts from risk advisory and technical consultants to jointly deliver high quality projects for the customers
What we offer
- A clear career path and Career Coach, who will guide you through the organization and your opportunities
- Wide range of trainings and knowledge development opportunities, including financing of your certificates and workshops in a chosen career specialization
- A unique opportunity to develop the AI career with a great team of experienced peers and cooperation with Deloitte AI Institute
- Challenging tasks with the freedom of action in your field
- Friendly team atmosphere, flexible working set-up and excellent working conditions
About the team
Data & AI Team focuses on the practical applications of data analytics and artificial intelligence. Broadly understood risk management is a key area of companies' activity, covering both well-known applications such as credit scoring, fraud analytics or market risk analytics, but also new areas such as deepfakes detection, cyber intrusion, climate risk analytics, dynamic risk scoring. We also deal with the most important areas determining the success of implementations, such as AI explainability or AI fairness, and we take part in discussions on the regulation of the AI market in the European Union.