The person behind the analysis

About me.

I’m Giulio Pulino.
A Data Analyst focused on making data useful.

I bring around 5 years in Data Analytics and 10 years overall in iGaming. Currently a Data Analyst at ARRISE, I focus on business intelligence, performance analysis, and clear communication.

Professional background

Analytics, with
business context.

My experience includes around 5 years in Data Analytics within around 10 years overall in the iGaming industry. This domain knowledge spans Slots, Live Casino, and Sportsbook and gives context to my analytical thinking and problem solving.

I currently work as a Data Analyst at ARRISE. My focus areas include business intelligence, business performance analysis, dashboards, SQL analysis, and reporting. Tableau and SQL Server are core tools within that broader analytical approach.

Technical expertise

Tools meet understanding.

Core technical tools, supported by business understanding, problem solving, and communication.

Dashboards & visualization

Tableau

A focus on presenting data in a way that makes patterns visible and supports useful business conversations.

SQL analysis & reporting

SQL Server

One of my main tools for exploring data, answering analytical questions, and supporting reporting.

Analytical thinking & problem solving

Data analysis

Using analytical thinking to explore business performance, investigate questions, and interpret patterns in context.

Business context & communication

Business intelligence

Connecting analysis and reporting to business questions, with clear communication that helps stakeholders understand the findings.

How I work

Start with a question.
Finish with clarity.

A practical approach to moving from a business question to an insight that can inform a decision.

  1. Understand the question

    Clarify the question with stakeholders: what needs to be understood, who needs the answer, and which decision it will inform.

  2. Explore the data

    Consider the available sources, check definitions and limitations, and use SQL analysis to investigate the question.

  3. Find the clearest view

    Choose a dashboard, report, or focused analysis that makes the relevant patterns easier to understand.

  4. Explain the insight

    Bring the findings back to the original question, with clear context, practical implications, and any remaining uncertainty.

Keep exploring

Let’s talk data.

Explore my projects and exchange ideas on data analytics, business intelligence, and iGaming.