Data Science Business Consultant
DOTSOFT SA
Thessaloniki, Greece
πριν από 2 μέρες
Job Description

As part of our Applied Intelligence practice, you assist the IT Solutions Product Owner Officer in tasks that involve management, building architecture and analysis of big data IT integrated solutions, in order to build data driven business insights and high impact data models to generate significant business value under digital transformation.

Digital covers a range of industries, from health to cultural heritage and environmental quality of air and smart tourism, under the intention to drive more informed decision making. Examines and explores IT solutions and data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for our clients.

WORK YOU’LL DO

You will work closely with our IT Solutions Product Owner and the Software Engineers team and to architect, design and guide data science solutions for our clients. The ideal candidate has experience in both IoT data and mobile application technologies (API, Ionic, Flutter), relational services (SQL), and ETL/ELT tools.

Responsibilities:

·         Analyze the needs and requirements of customers understanding the business needs

·         Translate business requirements into specifications that will be used to drive the Data Warehouse design and configuration

·         Design the detailed data architecture includes data governance, master data strategy, master data management, data quality, data modeling, ETL approach, data storage etc.

·         Identify the gap between business requirement and data architecture and propose and design optimal data warehouse and analytics solutions to fulfill the business/technical requirement

·         Offer suggestions and recommendations during solution design and execution phase to ensure business intent is understood by the project team

·         Design and implement technology best practices, guidelines and repeatable processes for Data Warehouses, including sourcing, loading, transformation, and extraction of data

·         Map data between source systems, data warehouses, and data marts and design relational and dimensional data models

·         Use ETL tools to implement data extraction procedures from other systems and load them into the datamarts

·         Committed to gaining exposure to multiple industries while further developing your career.

·         Adapt at implementing technology-enabled business solutions for clients as part of a high-talent team


Qualifications

·         BSc and MSc or PhD (preferred) in Computer Science or other in quantitative discipline a well-established University

·         3+ years of relevant consulting or industry experience in Data Management, Data Architecture, Data Modeling and Big Data, especially in cloud-based solutions

·         Sound understanding of Business Intelligence best practices, relational structures, dimensional data modeling, SQL skills, reporting techniques and data warehouse, particularly the Kimball method

·         Solid experience with development of big data and other modern data platform solutions

·         Ability to work both independently and within multi-disciplined team

·         Strong analytical, design and problem-solving skills

·         Ability to work both independently and within multi-disciplined team

·         Very good communication skills & Customer-centric work ethics

·         Excellent use of English language (verbal & written)

·         Flexibility with travelling

·         Ability to work as a team member

·         Ability to work creatively and analytically in a problem-solving environmen



Additional Information

We offer an attractive remuneration package, continuous training & evolution perspectives, great opportunities for professional development, with an exciting, fresh and collaborative work environment of #dynamic people full of #passion #integrity & #fun!

You will have the opportunity to:

·         Join innovative projects with the latest in IT

·         Participate in a global network of colleagues

·         Attend education programs

All applications will be treated as strictly confidential.

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