Photo of Nat

Data Operations Analyst

Hi, I'm Nat

Short for Natasha β€” not Natalie, despite what autocorrect believes.

I enjoy turning messy data, unclear questions, and occasional spreadsheet chaos into analysis people can actually use.

Projects Overview Let's Chat

πŸ“Š Data Operations

I thrive on improving data quality, documentation, and making processes easier for people to understand.

🧠 Always Learning

Currently building my skills across Python, analysis, reporting, and dashboard design.

🐊 Crocodile Approved

Calm, focused, and surprisingly patient.

General Assembly Data Analytics Badge General Assembly Certified Data Analyst

How I Think

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.

1

Clarify the Question

Understand the problem and who needs the answer.

2

Check the Data

Look for duplicates, missing values, and anything suspicious.

3

Explore Patterns

Use analysis and visualisation to understand what is happening.

4

Communicate Clearly

Turn findings into something useful and actionable.

Projects Overview

I’m building a portfolio around real business questions, clean analysis, and clear reporting β€” the kind of work that supports better decisions, not just prettier charts.

Completed

Pizza Sales Analysis

Analysed sales performance, ordering trends, and product performance using SQL Server and Power BI.

Built an interactive dashboard to communicate the findings clearly.

SQL Power BI Documentation Reporting

In Progress

Supply Chain Late Delivery Investigation

Investigating late deliveries using Python to identify where delivery problems are concentrated and which operational characteristics are associated with higher late-delivery rates.

The analysis will combine delivery risk with order volume and value to identify priority areas for further operational investigation.

Python Pandas Data Analysis Data Cleaning Visualisation

Pending

Membership Status Dataset

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.

Python Data Quality Documentation Spreadsheets Reporting
View Portfolio

Tools & Skills

The tools I use or am actively building confidence with.

Python Pandas SQL Power BI HubSpot Google Sheets Excel Tableau Data Analytics Data Cleaning Reporting Process Improvement Documentation

Experience Snapshot

Current Role

Data Operations Analyst

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.

Let's Chat

Interested in data, operations, reporting, or quietly judging messy spreadsheets together? Let’s talk.

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