About the service
I'm a business intelligence analyst, and my task is to make your numbers speak in a language everyone understands. Most companies already have data in abundance: sales exports, CRM tables, accounting files, advertising platforms. But it all sits in a dozen disconnected places, and nobody trusts the results. I connect these sources, clean and verify them, build a proper data model underneath, and deliver dashboards that everyone reads the same way. My focus is reporting and analytics, not machine learning: I turn raw operational data into clear reports, KPIs and metrics that answer real business questions.
I usually start with a short conversation about what decisions you actually need to make, because a beautiful dashboard that doesn't answer anything is wasted effort. Then I profile the data, align the definition of each metric so the numbers mean the same thing across all departments, and design a model with clean relationships instead of one giant flat table. In Power BI I write measures in DAX for period comparisons, running totals and shares; in Tableau I build calculated fields, LOD expressions and interactive filters. I also care about performance: dashboards should open in a second, update reliably and not break when data grows.
You get a documented and maintained solution, not a black box: a clean SQL layer, an understandable model and dashboards that your team can develop further. I'm ready to work with what you have — a database, flat files or exports — and set up scheduled updates so reports stay current without manual work.
— Power BI dashboards, DAX measures, data models and scheduled updates
— Tableau books, calculated fields, LOD expressions and interactive filters
— SQL for extraction, joins, cleaning and aggregation
— Data modeling with star schema and unified metric definitions
— KPI reports, sales analytics, marketing and finance, management summaries
I usually start with a short conversation about what decisions you actually need to make, because a beautiful dashboard that doesn't answer anything is wasted effort. Then I profile the data, align the definition of each metric so the numbers mean the same thing across all departments, and design a model with clean relationships instead of one giant flat table. In Power BI I write measures in DAX for period comparisons, running totals and shares; in Tableau I build calculated fields, LOD expressions and interactive filters. I also care about performance: dashboards should open in a second, update reliably and not break when data grows.
You get a documented and maintained solution, not a black box: a clean SQL layer, an understandable model and dashboards that your team can develop further. I'm ready to work with what you have — a database, flat files or exports — and set up scheduled updates so reports stay current without manual work.
— Power BI dashboards, DAX measures, data models and scheduled updates
— Tableau books, calculated fields, LOD expressions and interactive filters
— SQL for extraction, joins, cleaning and aggregation
— Data modeling with star schema and unified metric definitions
— KPI reports, sales analytics, marketing and finance, management summaries