Flavio Akira Tikaishi Oliveira

Business Intelligence Analyst | Data Analytics

I turn messy, disconnected business data into decisions people can act on. Over the last five years in Calgary I have built reporting infrastructure, automated workflows and executive dashboards across HR, IT and field service operations — always working at the intersection of business analysis and data analytics.

Business Intelligence Analyst — Gateway Mechanical Services

May 2022 – Present · Calgary, AB

I own the full data lifecycle here, from requirements gathering through to executive presentation. I design and maintain data models and ETL/ELT pipelines that pull together disparate sources through SQL, data scraping and automation, tuning them for performance, scalability and data quality.

Working directly with stakeholders, I translate high-level business needs into measurable, automated KPIs, then publish interactive Power BI dashboards and Power Platform solutions that streamline reporting and improve operational efficiency. I apply statistical methods for root cause analysis and data validation to keep back-end models and front-end reports consistent, uphold data governance and security standards, and run training programs that raise data literacy and self-service capability across the organization.

HR/IT Data Business Intelligence Analyst — Cervus Equipment

May 2021 – May 2022 · Calgary, AB

I joined as a summer student and moved into a contract analyst role focused on HR and IT systems. I built self-service Power BI dashboards that gave the HR and Payroll teams near real-time visibility into workforce data, and engineered API integrations to keep the core HRIS and IT platforms in sync. Using Microsoft Power Automate I replaced manual HR processes — organizational charts, data updates and approvals — with reliable automated workflows.

Alongside the technical work, I partnered with HR and IT stakeholders to define system requirements and authored the SOPs and knowledge-base documentation that keep those solutions maintainable and adopted.

What drives me

I believe the value of data comes from asking the right questions first — what do I actually need, what can I improve, what should change. Get that right, and the analysis that follows becomes clean, organized and genuinely useful to the people making the call.