Data & AI Senior Consultant

On behalf of our client, a niche Enterprise and Data Analytics Solutions Company with offices in Greece and Germany, driving organizations to Digital Transformation, we are currently looking for a highly driven Data & AI Senior Consultant.

A day in the life of a Data & AI Senior Consultant

As a Data & AI Senior Consultant, your daily work involves your primary mission is to empower the customers with insights and intelligence to drive their business forward. You will participate in collaborative workshops alongside our customers' line of business, where we validate both the business and technical requirements. You will design and implement cutting-edge Data Warehousing, Business Analytics, Artificial Intelligence, and Machine Learning applications, addressing diverse Business Intelligence and Analytics needs. Collaboration is at the heart of your role. You work closely with the product team and partners to devise innovative data-driven solutions, often leveraging original concepts.

Your day-to-day

• Collaborating with the customer's line of business to validate requirements
• Design and implement a Data Warehousing solution to meet a client's Business Intelligence and Analytics needs
• Dive into data analysis, extracting meaningful insights and patterns from a large dataset
• Work on deploying advanced ETL processes to efficiently move and transform enterprise data
• Create intuitive dashboards and operational reports to visualize data in a business-friendly way
• Ensure that the Data Warehousing solution adheres to best practices, standards, and optimization techniques
• Engage in discussions with clients regarding pricing and optimization techniques
• Collaborate with the product team to brainstorm data-driven solutions and innovative concepts

Requirements

• B.Sc. from Computer Science, Statistics, Engineering
• Proficiency in Data integration and Modeling technologies, including ETL, Staging/Target Area, OLAP, Dimensional Modeling, Data Marts, and Data Virtualization.
• Familiarity with Data Science scripting languages such as R, Python, or Scala.
• Working experience with Microsoft Azure Data Platform is a strong plus.
• Knowledge of advanced data analysis techniques, including customer segmentation, propensity modeling, pricing & optimization techniques, and predictive modeling.
• Proficient verbal and written communication skills in English

Great to have

• Experience with cloud technologies, with proficiency in any such areas considered a strong asset

Benefits

You will join a team that not only includes financial rewards but also gives you:

• a stable working environment with great prospects
• continuous learning and development opportunities
• private insurance
• working in a friendly and cooperative environment