Zoe Reed

Zoe’s motivation for working in data stems from a background in Mathematics. In particular, Zoe enjoys the process of preparing datasets for reporting and/or visualisation.

Zoe has recently undertaken a month-long training programme in data engineering where skills were refined in Python, SQL, Snowflake, dbt and GitHub. She gained experience designing, building and orchestrating pipelines from start to end.

She has completed a 3-month placement with a manufacturing company where she used Azure Data Factory to set up Data Flows and Data Pipelines to ingest data from multiple sources, transform this data and load it to various destinations for use across the business. During this time, Zoe utilised GitHub to manage her work and collaborate with team members.

Zoe is also an experienced Tableau and Alteryx user. She has gained Power BI knowledge through self-study and through using the software over a 6-month placement with a big four consultancy firm. During this placement, Zoe provided Alteryx and Power BI training for employees and ran drop-in support sessions for users of Alteryx, Power BI and Tableau. From these experiences, Zoe is able to understand and tackle issues within a short period of time. She also led internal projects using these softwares, working alongside managers from across levels of the business.

A highlight for Zoe has been working with an Olympic sports team, carrying out statistical analyses to establish the significance of trends. Working with sports data requires analysing each metric through numerous lenses, reinforcing Zoe’s ability to explore a dataset comprehensively.

Certifications

Blog Posts

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Wed 05 Feb 2025 | Zoe Reed
Setting up Snowflake sources in dbt
This blog is going to outline how to create sources in dbt that allow you to easily reference tables that are stored in Snowflake. We will be connecting to two tables - orders and orders_returned. The tables sit in the schema zr_superstore_schema
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Tue 21 Jan 2025 | Zoe Reed
Normalised Vs Denormalised Data
Normalising data is a way of structuring datasets that reduces redundancy (duplication of the same information across multiple rows). This is done by storing data in multiple tables and creating relationships between them, often with the purpose of reducing the amount of storage required
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Fri 17 Jan 2025 | Zoe Reed
Reporting On A Pipeline
Reporting on a pipeline is all about monitoring what’s going on in the pipeline, its performance and any errors should they occur. This helps to identify issues as far upstream as possible, so that they can be prevented from moving downstream and closer to the end user
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Thu 09 Jan 2025 | Zoe Reed
Hot Tips for Formatting JSON in VS Code
Collapsing JSON objects for user-friendly formatting A nested JSON can be tricky to investigate and interpret with the human eye
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Thu 05 Sep 2024 | Zoe Reed
Git, GitHub and GitHub Desktop for Beginners
This blog aims to clarify the differences between Git, GitHub and GitHub Desktop, including how they can be used together to manage code both on your local machine and on GitHub. Git - a software that enables the user to track version changes to a file or a folder of items
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Mon 05 Jun 2023 | Zoe Reed
How to create an Info Button for your dashboard!
Learn how to create a handy 'Info Button' for any dashboard to add context or extra information without compromising design or using up valuable space. Find an image of the info icon you want to use. I like a traditional i : Ideally choose an image with no background. Save it as a .png or
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Fri 02 Jun 2023 | Zoe Reed
Final Day of Training - Boyband Dashboard
For our last day of dashboard week and final day of training, we were tasked with creating a dashboard inspired by (source….) based on boy band data (source…)
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Thu 01 Jun 2023 | Zoe Reed
Exploring NASA's API!
As part of dashboard week, our task for today was to pull data from one of NASA's many APIs, then visualise this data in any tool we wished. NASA has some really cool data, and I chose to pull images of the Earth from space, along with their metadata (coordinates, date taken, and so on)
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Wed 31 May 2023 | Zoe Reed
Recreating a Tableau Viz in Power BI
For day 2 of dashboard week, we were tasked with recreating a Tableau viz in Power BI. Having only spent a day learning Power BI prior to today, I anticipated a challenge. I recreated a viz by Carl Allchin (https://public.tableau.com/app/profile/carl
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Fri 26 May 2023 | Zoe Reed
Tableau Accessibility 101: Making a Drill Down that is Accessible to Keyboard Navigation Users
1) We need to make a calculated field of the sub-categories in each category, for each category. The calculation should look like this for the furniture category: Repeat this step for each of the categories
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Fri 12 May 2023 | Zoe Reed
Making a Control Chart using Sample Superstore
A control chart adds additional insight to a traditional line graph via the addition of a reference band – for example highlighting a target range of sales, standard deviation or the interquartile range
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Wed 08 Mar 2023 | Zoe Reed
Mapping the Path to Data Discovery
Hull House Maps and Papers is a publication from 1895 (consisting of essays and statistical information) about the living and working conditions in the worst slums in Chicago around that time
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Tue 07 Mar 2023 | Zoe Reed
Simple Moving Averages Explained!
What is a moving average? A moving average gives us a frequently updated average over time. This is useful to get an overview of what is happening on average in a set of data as time progresses, smoothing out extreme peaks and troughs
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Wed 01 Mar 2023 | Zoe Reed
Women who paved the way...
With International Women’s day approaching, I have sought to take a look at some pioneering women in the data world - both past and present. We will be kicking off with Katherine Johnson - an African American data scientist who contributed tremendously to the field of aeronautics
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Thu 16 Feb 2023 | Zoe Reed
Type Conversions
Type conversions are functions that allow us to convert fields or a string from one data type to another. DATE Converts the argument into a date. Eg DATE([Order Date]) converts all the order dates into dates. DATE(“July 1 2004”) and DATE(“01/07/2004”) both return 1 July 2004
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Thu 09 Feb 2023 | Zoe Reed
Joining Data In Tableau Prep
Joining allows us to combine two sources of data into one cohesive set of data
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Tue 07 Feb 2023 | Zoe Reed
Analytics Pipeline - How a Viz is born
It's day 2 at The Data School and we've followed the creation of a viz - from its origin in raw data all the way through to a published visualization.
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