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Hitesh Jangid
Hitesh Jangid

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๐Ÿ“Š Building a Data Job Salary Dashboard in Excel: A Detailed Walkthrough

Hi there!

If you're exploring a career in data or just curious about what different data jobs pay across countries and work types, you're in the right place. I recently built an interactive salary dashboard in Excel to help visualize trends in data job salaries โ€” and in this post, Iโ€™ll walk you through exactly how I did it.

Letโ€™s dive in step by step!


  1. Getting the Data In

I started by using a real world salary dataset. It had real job postings from 2023 for roles like Data Scientist, Analyst, Engineer, and more. The dataset included:

Job Title

Salary

Country

Job Schedule (Full-time, Contract, etc.)

Required Skills

What I did:

Imported the data into Excel.

Looked for missing or zero salary values.

Cleaned up inconsistencies (like standardizing country names).

Saved the cleaned data on a new sheet for analysis.

Tip: Always clean your data first โ€” it saves a lot of headaches later!


  1. Planning the Dashboard

Before jumping into charts and formulas, I planned out what the dashboard should include.

Dashboard Goals:

Filters for Job Title, Country, and Schedule Type

Charts for salaries by job title and by country

Tables to calculate medians and support visuals

I even sketched out a rough layout on paper โ€” this helped a lot with structuring the final dashboard.


  1. Preparing and Cleaning the Data

To make sure everything worked smoothly:

I removed rows with missing or zero salary.

Standardized things like "USA" and "United States".

Created helper columns like โ€œShort Job Titleโ€ for cleaner visuals.

Helpful Formula to Remove Zero Salaries:

=FILTER(Data!A2:E1000, Data!D2:D1000 <> 0)


  1. Creating Support Tables

To power the dashboard filters and charts, I built small tables in the background:

Unique lists of job titles, countries, and job types

Median salary calculations for each filter combination

Formula to Get Unique Job Titles:

=UNIQUE(Data!A2:A1000)

Formula to Calculate Median Salary:

=MEDIAN(
IF(
(Data[Job_Title]=SelectedJobTitle)*
(Data[Country]=SelectedCountry)*
(ISNUMBER(SEARCH(SelectedType, Data[Schedule_Type])))*
(Data[Salary]<>0),
Data[Salary]
)
)

Note: This is an array formula โ€“ press Ctrl+Shift+Enter in older Excel versions.


  1. Making Filters with Dropdowns

To make the dashboard interactive, I used Data Validation for dropdown filters:

Job Title

Country

Schedule Type

I used the unique lists from Step 4 to populate the dropdowns. Super easy and effective!

Data validation dropdown


  1. Designing Visuals

Salary by Job Title โ€“ Bar Chart

I created a bar chart that shows median salary by job title, sorted from high to low.

Bar Chart


Salary by Country โ€“ Map Chart

Using Excelโ€™s map chart, I visualized salaries by country with color gradients to show salary ranges.

Map Chart


Job Schedule Breakdown

I also added a chart/table to show how job types (like full-time or contract) are distributed.

Formula to Filter Simple Job Types:

=FILTER(J2#, (NOT(ISNUMBER(SEARCH("and", J2#))+ISNUMBER(SEARCH(",", J2#)))) * (J2# <> 0))

Table Job Type


  1. Assembling the Dashboard

This is the fun part! I put everything together on one sheet:

Filters at the top

Charts in the middle

Summary tables at the bottom

I made sure everything was dynamic, so any filter change updates the entire dashboard. I also used consistent colors for a clean, professional look.

Dashboard


  1. Testing and Final Touches

Before sharing it, I tested all the filters and charts by changing values. I fixed a few formula errors and checked for slowdowns due to large data.

Polishing is key โ€” a working dashboard is great, but a smooth, user-friendly one is even better.


Final Thoughts

Building this dashboard was a great learning experience and a fun way to visualize real-world salary data for data jobs. Excel is surprisingly powerful when it comes to interactive dashboards โ€” especially when you combine formulas, charts, filters, and a bit of design thinking.

๐Ÿ”— If youโ€™re interested in exploring or customizing it, you can download the complete dashboard and sample data from my GitHub repository:

๐Ÿ‘‰ GitHub Repository

Let me know what you think or if you'd like to see similar dashboards for other topics!


Would you like a downloadable blog version (PDF/Markdown), or help publishing this to a platform like Medium or your own site?

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