Data Operations Analyst
Hi, I'm Nat
Short for Natasha — not Natalie, despite what autocorrect believes.
I enjoy turning messy data, unclear processes, and spreadsheet chaos into something people can actually use.
Data Operations Analyst
Short for Natasha — not Natalie, despite what autocorrect believes.
I enjoy turning messy data, unclear processes, and spreadsheet chaos into something people can actually use.
I thrive on improving data quality, documentation, and making processes easier for people to understand.
Currently building my skills across Python, automation, reporting, and dashboard design.
Calm, focused, and surprisingly patient.
Every dataset tells a story, but first you have to make sure the spreadsheet isn't lying to you. My approach is built around clarity, structure, and curiosity.
Understand the problem and who needs the answer.
Look for duplicates, missing values, and anything suspicious.
Use analysis and visualisation to understand what is happening.
Turn findings into something useful and actionable.
I’m building a practical portfolio around real business questions, clean analysis, and clear reporting — the kind of work that supports better decisions, not just prettier charts.
In Progress
Building a consolidated reporting dataset from multiple synthetic sources to improve consistency, reduce duplication, and support reliable reporting.
The project focuses on data quality, validation, and creating a repeatable process for maintaining a single source of truth.
In Progress
Investigating customer retention patterns using Python and exploratory analysis to uncover possible indicators of churn.
Built using a synthetic SaaS dataset from Kaggle to enable realistic analysis while avoiding privacy concerns.
In Progress
Designing a dashboard focused on KPI tracking and trend analysis to communicate revenue performance in a clear and accessible way.
Built using a synthetic SaaS dataset from Kaggle to simulate real-world reporting scenarios while avoiding privacy concerns.
The tools I use or am actively building confidence with.
Current Role
I support business operations by improving data quality, documentation, and reporting, helping teams work with information that is clear, reliable, and easy to use.
My favourite kind of work sits somewhere between analytics and operations: finding the friction, cleaning up the mess, and helping teams get clearer answers.
Interested in data, operations, reporting, or quietly judging messy spreadsheets together? Let’s connect.
