Experienced Data Strategy & Management Consultants

at  Deloitte

FÖRETAGSBESKRIVNING

Deloitte is a leading global provider of Audit & Assurance, Tax & Legal, and Consultative Services. With more than 457,000 professionals in over 150 countries, we help our clients and society to solve complex problems and achieve ambitious goals. We are driven by one purpose: to make an impact that matters. To us, this means lasting results for our clients and their businesses, ideas and actions that contribute to a greater good. It also means empowering our people and supporting them in their growth journey.

OM ROLLEN

Deloitte’s business area Technology & Transformation Nordic is a market leader and works together with decision-makers in both global and local organizations. We support organizations in their challenges regarding strategy issues and in the implementation of complex transformations that often include major business-driven IT changes.
At Deloitte, we truly believe in the acceleration of the value of data. Our AI & Data team is now looking for additional data analytics consultant. You’ll be part of a team at the forefront of analytics that works with capturing data’s value and helping clients to understand the way into the future.
We are looking for consultants with different seniority to join us in solving our clients’ most pressing technology, strategy and transformation challenges from a data perspective. We combine industry experience, consulting skills and data governance and management capabilities to create a lasting impact that matters. Whether it is defining a data strategy, orchestrating new ways of working to govern and manage data more efficiently or implementing technology-based data solutions, we need the very best people to join and strengthen our team! That is where you come in.

• Be part of and contribute to Data strategy and data advisory projects.
• Combining project management and data management experience, establishing client relations, and guiding colleagues.
• Hands-on involvement in setting data requirements, defining target data architectures, and designing data models.
• Strengthen metadata management and data quality management to help clients understand their data.
• Working with people from various disciplines such as Finance, Risk Management, Data Analytics, Reporting, and Sustainability.