||Job Description Accenture Digital The digital revolution is changing everything. It's everywhere - transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you'll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on. Applied Intelligence Accenture Digital is powered by three practices -Mobility, Interactive, and Applied Intelligence. As part of our Analytics practice, you'll deliver analytically-informed, issue-based solutions that help clients make faster, smarter decisions. You'll play a critical role in helping them tackle complex business issues. YOU ARE GOING TO: Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation (both: international and local). Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in agile methodologies (at client localization, remotely or mixed). Range of your accountability, responsibility and autonomy will depend on your experience and seniority - we are looking for both experienced specialists as well and non-experienced talents. Qualifications WE EXPECT THAT YOU: Proficient in data management and have well developed SQL skills in at least one of the leading databases -technologies such as: Oracle, MSSQL, Teradata, DB2. You are also familiar with procedural extensions such as embedded procedures, functions, packages, triggers, Working command of DWH matters such as: denormalization, uni- and bi-temporal historization, SCD 1, SCD2, development and implementation of data marts, fact/ dimension/ transaction tables, views, indexes, data harmonization and standardization, data processing and business metadata management, Experience in developing data warehouse applications and participated in selected or all phases of data warehouse/data mart development lifecycle, you are able to demonstrate your experience with creating architecture, design, development, implementation, administration or migration, Experience with data modelling, understand dimensional and/or relational and/or data vault modeling approaches, ability to create conceptual, logical and physical data model, Ability to select from the above skillset and apply it to real life business cases, particularly in banking and insurance industry, Analyze and interpret various data from internal and external sources to find meaningful insights, Identify, discuss and communicate requirements in a structured and convincing way, Experience with ETL tools such as SAS Data Integration Studio, IBM Datastage, Informatica, Microsoft SQL Server Integration Services, Good command of English language (it is nice to have command of additional language, for instance German), Great team player (it is nice to have experience in working in international teams), Constant willingness to develop in the areas of data analytics and to deepen practical knowledge of tools such as R, Python, SAS.