Internal Data Metrics Solution
Publicada el 2026-07-25
Descripción de la oferta
I need a robust yet straightforward data-metrics solution built directly from our internal databases. The raw data is already stored in SQL-based tables; the task is to turn those rows into clear, actionable insights that business stakeholders can understand at a glance. While my immediate drive is to see the numbers that matter most, the finished product should also give us the flexibility to guide decisions, uncover emerging trends, and highlight performance bottlenecks whenever those needs arise. You are free to recommend the stack—whether that means a lightweight Python pipeline with pandas and SQLAlchemy, a BI layer in Power BI or Tableau, or a full-blown cloud-native approach—so long as it integrates cleanly with our existing database schema and minimal overhead for maintenance. Key deliverables • Clean ETL/ELT workflow that connects to the internal database, performs any required transformations, and keeps data fresh on an agreed schedule • Metric definitions documented in plain language alongside the SQL or code that generates them • An interactive dashboard or report with drill-down capability and export options (PDF/CSV) • Deployment guide and a short hand-off session to ensure the in-house team can extend or tweak the solution later Acceptance criteria 1. All metrics refresh automatically without manual intervention. 2. Queries or transformations run within reasonable time limits (we will agree on thresholds based on table sizes). 3. No loss or duplication of data across refresh cycles. 4. Stakeholders can filter by date range, product line, and region at a minimum. If this fits your skill set and you can start soon, let’s discuss your approach and timeline.
Skills
Fuente original: freelancer