Uche Ezekwueme
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ucheezekwueme.bsky.social
Uche Ezekwueme
@ucheezekwueme.bsky.social
18 followers 19 following 51 posts
Data Analyst
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⚡ Key Insight:
Pay, early career stage, and job role strongly influence attrition. Companies need to focus on retaining young talent and offering better salary growth to reduce turnover.

Follow for more Power BI & Data Analytics dashboards that turn numbers into stories 🚀

#DataAnalysis #PowerBI
What the data shows:
Most attrition happens in Life Sciences (37%) and Medical (26%) fields.
Age group 26–35 has the highest exits (116 people).
Job roles hit hardest: Research Scientists (100) and HR (58).
The biggest drop-off happens within the first year of joining (59 exits).
HR Analytics Dashboard 👇

👉 Employee Count: 1,480
👉 Attrition Rate: 16% (that’s 238 employees gone!)
👉 Average Age: 37 years
👉 Average Salary: £6,505
👉 Average Years in Company: 7

#powerquery #powerbi #dashboard #dataanalytics #datainsights
Output: Show the clean, finished dashboard.
From raw data ➝ to insights ⚡ in seconds!

Keep improving and fine-tuning your knowledge. Advanced knowledge- DAX, Data Modelling, Direct Query, Power Query and many more to learn in PowerBI.

#PowerBi #DAX #dataanalytics #powerquery #datatransformation
Build your First Power BI Dashboard in 30 Seconds

1) Install Microsoft PowerBI

2) Click Get Data → Excel

3) Transform/Load dataset
ETL - Extract Transform and Load.

4) Visualisations- Drag field onto canvas: bar chart or any chart of your choice.

5) Add a slicer → filter instantly.
Tables in PowerBI are very essential.
Here is a detailed difference between Fact table and Dimension Table.

##DataAnalytics #data ##PowerBI ##DataAnalysis
So are discounts actually helping, or hurting long-term? 🤔

Would you apply more promos or less?”

Follow for more real-world data dashboards + insights

#DataAnalysis #PowerBI #BusinessIntelligence #DashboardDesign #SalesStrategy #DataAnalyst
Ever wondered if promotions really increase sales… or just cut profits?
Let’s look at the data 📉

Promotions Dashboard Insights
➡️ $7.2M without promos
➡️ $8.06M with promos
➡️ 52% of sales under promotions
If you’re just starting or even years in, this is your reminder: Data analysis is about people first.

#DataAnalytics #CareerTips #PowerBI #SQL #Excel #SoftSkillsInTech #DataStorytelling #TechCareers
If your boss/client/colleague can’t understand your dashboard in 15 seconds, it needs a redesign.

✅ Learn tools.

✅ Practice techniques.

✅ But master the mindset.

Because the best data analysts aren’t just tool users, they’re decision guides.
Here’s what I’ve learned (and what I wish someone told me earlier):

*Ask better questions.

Before any formula, ask: What decision will this analysis help someone make?

*Think in stories, not stats.

Numbers are only powerful when they mean something to the person reading them.

*Simplify.
You could know every Excel trick, every SQL query, every Power BI chart, but if you don’t understand the question behind the data, your insights will miss the mark.
Before You Open That Excel Sheet… Read This.

When I started learning data analysis, I thought mastering formulas and dashboards was everything.

I was wrong.

What no one tells you is this:

👉 The real skill in data analysis isn't just about tools.

👉 It's about thinking.
* Netflix doesn’t just guess what to recommend. Banks don’t just hope to detect fraud. That’s all powered by data and people like us making sense of it.

#DataAnalysis #DataAnalytics #PowerBI #SQL #ExcelTips #BeginnerFriendly #TechCareers #StorytellingWithData #LearningJourney
So, let’s simplify it 👇
Data Analysis is the process of transforming raw data into clear, actionable insights.

That means:

✅ Asking the right questions
✅ Cleaning messy data
✅ Using tools like Excel, Power BI, SQL, or Python
✅ And telling a story the business can act on
I remember when I first opened Excel and thought formulas like VLOOKUP and PivotTables were magic. Fast forward a few years, and I’ve built dashboards, optimised campaigns, and supported local authorities to provide the best services, all using data that others overlooked.
What Even Is Data Analysis? And Why Should You Care?

Every day, businesses and individuals are making decisions with or without data.
But here's the truth: without analysis, data is just noise.
As a data analysts (and ambitious professionals), we love improvement. But real growth begins with reflection.

So here’s a prompt for your month: If your life were a dashboard, what would your KPIs be?
And what does your May forecast look like?
This month, challenge yourself to run a personal audit, not just performance reviews:

What habits are helping you grow?

Which projects are truly fulfilling?

Are you acting with purpose or just staying busy?
Let’s Run the Numbers — On Ourselves

We analyse data every day: metrics, dashboards, trends. But how often do we pause to analyse ourselves?

#NewMonth #DataDrivenLife #CareerGrowth #LinkedInCommunity #PersonalDevelopment #DataAnalytics
🚀 Curious:
What’s one thing you wish you knew earlier when you started working with data?
Drop it in the comments — let’s help the next generation of analysts!

#DataAnalytics #DataJourney #PandasPython #LearnData #CareerGrowth
Today, before I open any machine learning library or visualization tool, I always start with one thing:

Pandas. Clean. Understand. Then build.

If you're just getting started, trust me on this:
Learn Pandas inside and out. It will change the way you see data forever.
Make sense of thousands of messy rows in seconds

Summarise what’s really happening inside a business

Prepare rock-solid foundations for deeper insights

It wasn’t about fancy tricks.
It was about mastering the basics and doing them really well.
👉 Cleaning messy columns.
👉 Figuring out missing data.
👉 Shaping the numbers into something that actually makes sense.

And that’s when Pandas became my best friend. 🐼✨

With just a few lines of code, Pandas taught me how to: