QlikView Jobs

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...

My goal is to turn a messy collection of raw files into a clean, analysis-ready dataset hosted on Google Cloud so I can make faster, well-informed decisions. The data first needs three specific text-cleaning steps—removing duplicates, correcting typos, and standardising formats. Once those tasks are automated, the cleaned output should flow straight into a Google Cloud environment (BigQuery is ideal, but Cloud Storage plus Cloud Functions works too). After the upload, I want an exploratory analysis that highlights patterns, trends and any obvious outliers that deserve attention. Deliverables • Well-commented scripts or workflows that automate duplicate removal, spell-checking and format standardisation • A repeatable pipeline that loads the cleansed data into Google C...

I want a clean, automated bridge between our Salesforce org and Power BI so I can see the story behind our numbers at a glance. The job starts with pulling three data groups—sales figures, customer records, and performance metrics—directly from Salesforce. Those sets feed a single data model in Power BI that refreshes on a schedule I can control. From that model I need three visual workspaces: a sales performance view that tracks revenue against targets, a customer-demographics snapshot that breaks down who is buying, and an employee-performance view that compares reps by key KPIs. On top of the dashboards I also need competitive leaderboards: one that ranks reps by sales volume and another that highlights overall employee performance. Each board should update automatically, d...