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$ cat jobs/internal-client-services-data-scientist-2-year-contract-deloitte6-3731ff94be9e.json

Internal Client Services - Data Scientist (2 Year Contract)

Deloitte6·Worldwide·Midrand, ZA·mid
data engineeringpower bi
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At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across I nternal Client Services (ICS), Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T). We are seeking a Data Scientist with a focus on analytics and business intelligence to deliver end-to-end dashboard and analytics products. You will bridge the gap between source data and business-facing insight by preparing, modelling and visualising trusted data that drives day-to-day decisions. The incumbent will deliver dashboard and analytics products by combining data engineering, semantic modelling, business intelligence development and visualisation skills. Ensure solutions are repeatable, reliable and usable by non‑technical decision makers. Key responsibilities Identify and connect to relevant source data for dashboard and analytics products. Extract, transform and load data and build reusable data preparation routines. Develop semantic models to support consistent reporting and analysis. Design and build Power BI dashboards, measures and management information products. Implement data validation, reconciliation and data quality checks. Document source-to-target mappings, transformation rules and limitat

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