Modellazione dei dati Jobs

I'm seeking an experienced Snowflake developer to assist with data warehousing tasks. Key Responsibilities: - Data modeling and schema design - ETL/ELT processes - Performance optimization Requirements: - Proven Snowflake experience - Strong data warehousing background - Familiarity with detailed documentation

I need a focused Power BI report that clearly shows Expense vs Revenue trends for my finance team. All raw figures sit in a series of Excel spreadsheets, so the first step will be connecting those workbooks, modelling the data, and building a clean, refresh-ready dataset. From there, I want an intuitive dashboard with drill-downs, dynamic date filters, and visuals that let us spot cost overruns or income spikes at a glance. Because this will feed directly into monthly management meetings, I will require the finished .pbix file, any supporting M-code/DAX documentation, and a short walkthrough (screen-recording is fine) so the team knows how to refresh and extend the model. When you respond, include a detailed project proposal outlining your approach to: • importing and transforming ...

This is a six-week, fully remote contract for someone who can jump in immediately and own the data-modelling stream of an ongoing Databricks implementation across India-based teams. My environment already sits on Databricks with Delta Lake and Unity Catalog enabled, and I need a seasoned modeller who can translate business requirements into robust Star and Snowflake schemas, then bring them to life with PySpark and advanced SQL. You will refine our Medallion architecture (Bronze → Silver → Gold), implement both Type 1 and Type 2 SCD strategies, and tune the pipelines for speed through smart partitioning and other optimisation techniques. The datasets involved are large, structured and semi-structured, so hands-on experience handling such volumes in Databricks is essential. Key ...

BACKEND LEAD ENGINEER — FOOD INTELLIGENCE PLATFORM Node.js · TypeScript · PostgreSQL · Prisma · REST API Budget: $750 USD · Fixed Price ─────────────────────────────────────── ABOUT THE PROJECT We are building a Food Intelligence Platform across 7 phases — from data infrastructure through to a consumer grocery app, condition-specific health apps (diabetic, cardiac), genomic personalization, hospital integrations, and an enterprise B2B layer. Phase 1 is backend foundation work. The platform is designed to scale globally across US, EU, Asia, Middle East, and Africa. This is not a small project. If you deliver Phase 1 well, there is a high probability of continued full-time engagement across all remaining phases. We are looking for someone wh...

I need a neural network expert to develop a model for food formulation analytics. Requirements: - Analyze food formulations and ingredient substitutions - Predict optimal ingredient mixes - Develop taste and texture profiles - Formulation development Ideal Skills: - Experience in predictive analytics - Strong background in neural networks - Knowledge of food science and formulations - Proficiency in Python, TensorFlow, or similar frameworks I would like to design a neuron network software like a company called Giuseppe. I have all the data to populate the databases. 90% of everything is open source.

I need an end-to-end Databricks solution that produces a “Funded Program” report for Accounting. For every PD and DR sales order the report must display its FMMEASURE, Budget Measure, and Funds Center, alongside the key financial measures Revenue, Quantity Sold, and Cost. Core data sources are ZTQMD015, VBAK, KNA1, and PRPS. will carry the Funds Center, while FMMEASURE may be either the highest-level WBS or the execution WBS, depending on the order type. links back to PRPS, so please take care when joining. Because sales orders live in VBAK, you will need to add a custom field in the model so the order number ties cleanly to the WBS element. Customer details come from KNA1. Feel free to add any other reference tables you find useful. My preferred output is a Databricks ...

My finance team tracks revenue, costs and overhead in several Excel sheets, but we still struggle to isolate true profit-margin drivers month over month. I need those spreadsheets pulled into Power BI, cleaned, modelled and analysed so we can drill down on margins by product line, region and period without manual number-crunching. The project centres on data analysis rather than static reporting: I want interactive visuals that let me slice and filter instantly, spot outliers and compare actuals versus targets. While revenue and cash-flow charts could be added later, the first sprint must give us a clear, reliable view of profit margins and the factors that move them. Deliverables • A well-structured .pbix file with an optimised data model (star schema where possible, calculated m...

I need help building out reliable data-integration and ETL pipelines inside our existing Domo instance. You will connect our various sources to Domo, model the data, and automate the refresh processes so the platform always reflects the latest information without manual intervention. You should be comfortable designing scalable ETL flows in Domo Workbench, Magic ETL, and SQL dataflows, mapping fields across systems, handling incremental loads, and validating data accuracy end-to-end. Clear documentation of the connections and transformations is essential so my team can maintain them once the project is complete. Deliverables • All requested data sources fully integrated and tested in Domo • Automated ETL processes with scheduling and error handling configured • Writt...

Design and develop a Power BI Dashboard to monitor and evaluate the daily performance of IT Team employees based on their task commits and work output. Core Requirements: 1. Daily Task Commit Tracking Each employee's daily commits should be logged and visualized. The dashboard should reflect task completion status on a daily refresh cycle. 2. Performance Ranking Identify and highlight the Top 3 Best Performing Employees and the Worst Performing Employees based on defined KPIs. 3. Multi-Dimensional Filters The dashboard must support the following interactive filters: Number of Tasks Completed per employee (within a selected time period) Bug Rate – Whether tasks completed by an employee resulted in bugs or issues within the next 3 months post-delivery Time Taken to Complete ...

I’m looking for an experienced Tableau expert to transform my Excel data into a clean, interactive dashboard. The goal is to visualize operational data (not financial or sales), so the dashboard should help track daily activities, identify bottlenecks, and compare performance across teams and time periods. I will provide raw Excel files. You will need to: Clean and structure the data for easy updates Create clear visualizations (charts, filters, KPIs) Build an interactive Tableau dashboard (.twbx) Include simple documentation for usage The dashboard should be easy to understand, professional, and ready to present. Timeline: Fast turnaround preferred Language: Dashboard can be in English I will share full data after we agree.

I need a statistical model analyzing player performance data. This is required ASAP. Key Requirements: - Build a robust statistical model. - Analyze comprehensive player performance data. - Deliver insights to enhance strategic decisions. Ideal Skills: - Proficiency in statistical analysis and modeling. - Experience with sports data, particularly player metrics. - Strong programming skills in R or Python. - Ability to visualize data effectively for reporting. Please provide examples of similar work done.

I already pull data from Tally into Power BI through the ODBC connector and have basic dashboards running. What I now need is a specialist who can deepen that integration and layer robust inventory automation on top—both inside Power BI and in an Excel workbook that refreshes itself. Here is what the job entails: • Clean up and optimise the existing ODBC queries so they refresh quickly and capture only the incremental changes coming from Tally. • Extend the current Power BI data model with inventory-focused measures (e.g., ageing, average holding days, valuation by batch) and create clear visuals for management. • Build an Excel solution—using Power Query, DAX where appropriate, and VBA only if necessary—that connects directly to the same Tally tables...

Cuento con una base de datos completamente normalizada en archivos CSV o TXT y necesito transformarla en información accionable. Lo que espero de tu trabajo: • Un archivo Excel (XLSX) que reúna todo el análisis a nivel corporativo, empresa, agencia, cliente, productos y contratos. Cada pestaña debe incluir métricas clave, visualizaciones claras y comentarios interpretativos. • Una presentación PowerPoint (PPTX) ejecutiva lista para exponer ante la gerencia, resumiendo hallazgos y sugerencias. Alcance del análisis Me interesa, ante todo, el Análisis de datos como área principal. Quiero tanto análisis descriptivo como predictivo, por lo que deberás explorar patrones históricos y proyectar ten...

I have a dataset that captures our customers’ demographics, purchase history, and engagement metrics. I need a clear, Excel-based analysis that uncovers actionable patterns: who buys what, when they buy, and any loyalty or churn signals hiding in the numbers. Here is what I’d like delivered: • A cleaned and well-structured workbook with formulas, pivot tables, and charts that highlight key customer segments. • A short executive-style summary sheet of the main insights and recommended next steps. • Any assumptions or data issues flagged directly in the file so nothing is missed. Please keep everything inside Excel—no external scripts—so my internal team can update the model later. When you apply, focus on your relevant experience tackling s...