QlikView Jobs

I need an SAP IBP specialist who can jump straight into the Analytic Stories workspace and build a small set of Demand Planning stories for me. The goal is to let planners drill from historical sales data into forecast-accuracy metrics, all presented primarily through clean, interactive line charts that they can filter by product family, location and time horizon. You will have access to the relevant IBP planning areas and CDS views; what I expect back is: • 1–2 well-structured stories that open quickly, refresh correctly, and follow our existing color & naming conventions. • Each page should highlight year-over-year trends in sales history and a separate view comparing forecast versus actuals with MAPE automatically calculated. • Navigation controls (filters...

I need help turning a backlog of paper-based and scanned financial records into clean, searchable data inside my PostgreSQL database. All source documents are organised by month in shared cloud folders; your job is to review each file, capture every relevant field, and insert it directly into the tables I specify (or propose a tighter schema if you spot improvements). Accuracy matters more than speed—balances must tie out and numeric formats must stay consistent with the existing data. I’ve already set up secure, limited-privilege access to the database, and can supply ER diagrams plus sample rows so you see the conventions to follow. If you prefer to stage the work in a local instance before pushing to production, that’s fine with me. Deliverables • Populated Post...

I need a propensity-modelling software package that plugs directly into our CRM system, website analytics, and sales database, unifying those streams into a clean, continuously updated dataset. On top of that data layer, the build must train, evaluate, and deploy the best-performing predictive models—whether regression, decision-tree, neural-network, or any other technique that proves superior—then surface the results through a lightweight web interface and an API our teams can call in real time. Key deliverables • Automated ETL jobs and data-quality checks for the three sources mentioned above • Modular training pipeline with experiment tracking, lift/ROC reporting, and feature-importance visuals • Scoring service exposed via REST (or GraphQL) endpoints plu...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...