I design and develop dashboards in Power BI, Looker, and Excel that bring the KPIs your team reviews into one reporting view connected to the underlying data.
Most businesses collect data constantly - sales figures, marketing spend, operational metrics - but that data sits locked in CRMs, ad platforms, and confusing spreadsheets. Leaders rely on outdated end-of-month reports to make critical decisions, and it takes the team hours to generate a single visual chart for a meeting.
I connect the relevant data sources and build interactive dashboards around the questions the team reviews. Refresh timing depends on the source system, access method, and reporting need. As a Microsoft Certified Power BI Data Analyst, I build the reporting layer on a documented data model.
Whether you need Power BI analytics, exploratory Looker and Tableau visualizations, or dynamic Excel dashboards your team already knows how to use, I deliver a complete solution built around your workflow and goals.
From Power BI to Excel, each dashboard is built around the metrics, filters, and refresh schedule the team needs.
I build Power BI reports and data models with DAX measures, filters, drill-down paths, and access rules based on the reporting audience.
Need clear, flexible visualizations? I build exploratory dashboards in Looker and Tableau so stakeholders can understand large datasets and spot useful trends.
If your team works in Excel, I can build pivot-table reports, charts, and slicers directly into the workbook so the reporting stays in a familiar interface.
Scheduled reports and PDF exports can prepare recurring KPI updates, with delivery logs and review steps for failed or unusual runs.
A useful dashboard answers specific business questions clearly, quickly, and consistently.
Track revenue, margins, invoice status, sales targets, and budget pacing without stitching together monthly reports manually.
See campaign ROI, lead quality, CAC trends, attribution signals, and channel performance across paid, organic, and CRM data in one place.
Monitor inventory, fulfillment, workload, SLA performance, and process bottlenecks through dashboards that update with live business activity.
Get concise executive views that summarize the metrics that matter without forcing decision-makers to open five different tools.
The Challenge: A cleaning business had financial, calendar, client, and labor data in a Google Sheets workflow that was difficult to report from consistently.
The Fix: I restructured the Sheets database and built a Looker Studio dashboard around the fields the business reviews.
The Impact: The team can review revenue, labor, expenses, and profit by time period, team, category, and client status from one dashboard. View the case and dashboard screenshots.
It depends on your team, data sources, and budget. Power BI is ideal for Microsoft-heavy environments needing enterprise features. Looker and Tableau excel at highly customized, exploratory analytics. Excel is the right choice when your team already lives in spreadsheets and you want zero learning curve.
When the source supports it, I can connect a database, API, Google Sheet, or CRM to a defined refresh schedule. Some sources still require an export or review step, which I document before the build.
Common sources include SQL databases, Google Sheets, Excel files, REST APIs, Salesforce, HubSpot, Google Analytics, and Meta Ads. During discovery, I check access, fields, limits, and refresh options before confirming the connection plan.
A focused single-source dashboard typically takes 5-10 business days. Multi-source dashboards with custom data models take 2-4 weeks. After discovery, I provide the proposed timeline, milestones, and review points.
Source mapping, metric definitions, relationships, and logic design so the numbers behind the visuals remain trustworthy.
A clear decision on which metrics deserve attention, how they are calculated, and which stakeholders need which views.
Scheduled refreshes, automated outputs, stakeholder-friendly views, and reporting workflows built around your actual operating cadence.
Guidance so your team actually uses the dashboard, interprets trends correctly, and trusts the reporting enough to make decisions from it.
An interactive reporting system with executive, product, customer, and operations views for a Shopify business.
A comparison article that helps teams choose the right BI tool based on reporting needs, flexibility, and scale.
A practical analytics example showing how reporting becomes more valuable when measurement logic and data modeling are handled properly.
If your reporting challenge starts with disconnected systems or unstable source data, the supporting integration layer matters just as much as the dashboard.