Two self-contained Power BI work samples, built end-to-end as demonstrations for a Business Intelligence Analyst application. All data is synthetic (1,600 generated IT service-desk tickets, July 2022 - June 2024); no client, employer, or government data appears in any file.
Open in Power BI Desktop (free). PDF preview included.
- Star-schema model with a dedicated Calendar table (marked as date table, Auto date/time disabled)
- All calculations as DAX measures: ticket counts, SLA Met %, reopen rate, average resolution, CSAT, month-over-month
- User input and overrides: a what-if numeric parameter (SLA Target Override - drag the slider and SLA attainment recomputes live) and a field parameter (Analyze By - switch the analysis dimension between Category, Program, Priority, Channel)
- Power Query for load, typing, and derived columns; full cross-highlighting across KPI cards, trend, distribution visuals, and a program matrix
Built in Power BI Report Builder against a local Microsoft SQL Server database loaded from the same dataset. Rendered PDF included.
- Parameters: StartDate / EndDate (defaults to June 2024, the dataset's final full month; in production these would default to the current month), multi-value Program, and Priority cascading from the Program selection
- Tablix grouped Program then Priority with subtotals and grand total; header echoes the selected period with a run timestamp; page-numbered footer; renders identically to PDF every run
- T-SQL datasets including the cascading available-values query
Interactive analytics for exploration, paginated reporting for operational distribution - the same split between live dashboards and recurring SLA and incident-trend reports that I supported on the NASA Johnson Space Center NEST contract. Both samples here were designed and built end-to-end by me.
Contact: [email protected] | linkedin.com/in/amandakondratyev