Rheelz

DATA ANALYST
..
CRYPTO
..
HONEST BUSINESS MAN

[Fabrizio Romano @FabrizioRomano]

🚨🇲🇽 FC Porto sent the following official bid to AC Milan for Santi Giménez today: free loan, €15m buy option clause to become mandatory based on appearances/goals.

Milan rejected as they ask different conditions. Giménez said yes to Porto days ago.

🎥 https://t.co/RSIKg419JV

[Fabrizio Romano @FabrizioRomano]

🚨🇪🇸 Santi Cazorla retires from professional football.

[Rheelz @RHEELZZ]

@everymovieplug Terranova and Dominion

[Annie🦋 @DabereNnamani]

If you’re a Data Analyst, looking for experience to add to your CV,
Here are 10 platforms where you can volunteer or intern in data analytics, all with relatively straightforward application processes:

VOLUNTEER PLATFORMS

1. DataKind (https://t.co/gie9SGxUJW)
You create a profile on https://t.co/EM799aAPkL, add your data skills and experience, and get considered for projects as they arise. Volunteers can work remotely from anywhere in the world.  Great for applying real-world analytical skills to social impact causes.

2. Catchafire (https://t.co/poQyscJO23)
You can volunteer in various ways ranging from a short 1-hour phone call to a 3-month scoped project, working remotely. Skills like data analysis, digital marketing, and IT can be offered to nonprofits.  One of the easiest sign-up processes out there.

3. Taproot Foundation (https://t.co/8lbd9YZF4u)
Taproot acts as a middleman between social impact organizations and professionals with the right skills. People can post projects or browse available ones, and the platform connects volunteers with pro-bono consulting opportunities. 

4. Solve for Good (DSSG Solve) (https://t.co/t4786IUq1W)
It’s a platform where social good organizations post data projects they need help with, and volunteers help scope and solve those problems using data-driven methods.  Good for both beginners and intermediate analysts.

5. Omdena (https://t.co/CvR5K65KrX)
Omdena offers a collaborative environment where participants work in teams to solve real-world problems using AI and data science. You gain hands-on experience with the benefit of mentorship from experts, and a certificate is provided at the end. 

INTERNSHIP PLATFORMS

6. Internshala (https://t.co/7WURbdjNYK)
Internshala offers various remote data science internships with startups and companies. While some roles are unpaid, they provide a great learning experience with hands-on projects, and a certificate is awarded for most positions.  Very popular and beginner-friendly.

7. The Sparks Foundation (https://t.co/E1Hbjgt3L1)
A widely known virtual internship program in data analytics and data science that’s easy to apply for. Projects are self-paced and you earn a certificate upon completion great for portfolio building.

8. Extern (https://t.co/26BFE2eZGD)
Extern offers externships specifically designed for those with zero experience, with real-world impact opportunities and resources like resume templates and direct application links. 

9. https://t.co/dKMWchVWPQ / GitHub Internship Repo (https://t.co/2hgbTCTrrz)
This is a curated repository of data analysis internship opportunities updated regularly, pulling from 400,000+ positions added daily and matching them to your skills and experience.  Low friction, you browse and apply directly.

10. Idealist (https://t.co/UCZ0ZiAZFa)
Idealist is listed among platforms where you can find jobs and volunteer roles in social-change organizations.  It frequently lists data-related volunteer and intern roles with nonprofits globally, and applying is as simple as submitting a profile.

[Minister of Jobs @emmanuelbasy]

I interviewed a candidate today for a Data Analyst role.

Everything was going well until I asked:

“How do you handle messy or incomplete data?”

He smiled confidently and said:
“I clean the data using Excel and remove errors.”

I followed up:
“Can you give a specific example?”

He paused… then said:
“I just make sure the data is clean before analysis.”

At that point, I realized he didn’t fully understand the question.

So I rephrased it:

“Let’s say you’re given a dataset with missing values, duplicates, or inconsistencies, what exact steps would you take?”

He paused again…

Still no clear answer.

I tried one more time.
I gave him practical scenarios:

I even broke it down for him…

And he still couldn’t explain his approach.

That was the turning point.

Because I wasn’t asking what tools you use.

I was asking: How do you think when the data is not perfect?

A strong candidate would have said:

“First, I assess the data to understand the level of issues.
Then I decide whether to drop, fill, or transform missing values.
I remove duplicates using SQL/Excel, standardize inconsistent entries, and validate the dataset before analysis.”

Most candidates don’t fail because they don’t know the tools…

They fail because they can’t apply or explain them in real situations.

[Victor Ugwu | Excel Automation for Logistics @_VictorUgwu]

SUPPLY CHAIN ANALYTICS ROADMAP

A lot of people asked for the roadmap into Supply Chain Analytics.

Here it is.

No hype. No shortcuts. Just structured progression.

If you follow this from Beginner → Intermediate, you’ll build real operational intelligence.

🔰 STAGE 1: Understand the System (Foundation)

Before touching dashboards, understand how supply chains actually work.

Learn:

• Procurement flow
• Inventory cycles
• Lead time
• Safety stock
• Reorder point
• Service level
• OTIF (On-Time In-Full)
• The Bullwhip Effect

If you don’t understand product flow, your analysis will be shallow.

Supply Chain Analytics is operations first, tools second.

📍STAGE 2: Excel for Operational Control (Beginner Level)

Excel is still the heartbeat of most supply chains.

Master:

• Data cleaning
• Pivot tables
• XLOOKUP / INDEX-MATCH
• Conditional formatting
• Basic KPI dashboards

Then apply it to problems:

• Identify slow-moving SKUs
• Build inventory aging reports
• Calculate reorder points
• Track supplier performance
• Analyze stockout frequency

At this stage, you should move from “reporting numbers” to “identifying inefficiencies.”

📈 STAGE 3: Statistics for Decision-Making

Supply chains operate under uncertainty.

Learn:

• Mean & standard deviation (demand variability)
• Variance & volatility
• Correlation
• Seasonality
• Forecast accuracy (MAPE)
• Service level probability

This is where you stop guessing and start quantifying risk.

📉 STAGE 4: Demand & Inventory Modeling (Early Intermediate)

Now solve real problems:

• Build moving average forecasts
• Add seasonality adjustments
• Model safety stock using service levels
• Simulate demand increase scenarios
• Calculate inventory turnover impact

Start asking:

“What happens if demand increases by 20%?” “What if supplier lead time doubles?”

This is analytical maturity.

🚀 STAGE 5: Power BI for Strategic Visibility (Intermediate)

Now elevate to decision-support level.

Build dashboards for:

• Inventory health
• Working capital exposure
• Lead-time volatility
• Fill rate & OTIF tracking
• Logistics cost analysis
• Supplier performance

Use data modeling and DAX to simulate business impact.

At this stage, you’re not building reports.

You’re influencing decisions.

🎯 STAGE 6: Think Prescriptive

The real leap happens here.

Move from:

“What happened?”

To:

“What should we do?”

You should be able to recommend:

• Optimal reorder quantities
• Risk-adjusted safety stock
• Supplier prioritization
• SKU rationalization
• Route optimization improvements

That’s where your value multiplies.

This exact roadmap but deeper and fully problem-based is what we’ll be covering inside the Supply Chain Analytics Bootcamp (March 2026).

Not tool tutorials.

Real supply chain problems.

Real trade-offs.

Real decision modeling.

If you’re serious about building authority in this niche:

Comment ROADMAP and tell me your current level: Beginner / Intermediate / Advanced?

REPOST so others would learn.

Let’s build analysts who optimize systems not just dashboards.

#SupplyChainAnalytics #Excel #PowerBI #Logistics #DataAnalytics #CareerGrowth #Operations

[Abraham Okah(info hub) @AbrahamOkah2]

JOB ALERT!!!

HIRING Data Analyst – Fully Remote

Location: Remote (Anywhere)
Salary: $125K – $142K/year
Job Type: Full-Time
Schedule: Flexible (Remote; occasional travel for team events)

ROLE OF THE JOB:

* Build and maintain marketing dashboards, KPIs, and reporting infrastructure
* Analyze campaign performance, attribution models, and marketing spend efficiency
* Partner cross-functionally to ensure accurate, consistent, and impactful data insights

Apply Now https://t.co/7K4DSwhxjz

Repost and tag someone who thrives in marketing analytics and SQL-driven insights!

#DataAnalytics #MarketingAnalytics

[Jesse--The Data Guy @Mbadiwejesse]

Join our data engineering bootcamp starting this month:
https://t.co/1tRqxkt0xs

[Rheelz @RHEELZZ]

@dev_olayinka Before purchasing the Airtel ODU, ensure Airtel network is strong in your area. I still experience occasional downtimes but I was able to use 648gb in my first month.

[Rheelz @RHEELZZ]

@IfeyOkoli If you'd like I can show you how I went about mine and see yours as well.

[Jesse--The Data Guy @Mbadiwejesse]

New Job Alert 📢

Data Analyst

Location: Lagos
Application Closes: Not specified

To apply:
Send your CV to: [email protected]
using the job title as the subject of the mail.

Requirements:
√ Minimum University Degree or equivalent.
√ At least 2 years of experience in data analysis.
√ Strong analytical skills.
√ Must be proactive, responsible and be able to work under pressure.
√ Must have the ability to work independently and with a team.
√ Must possess excellent communication and presentation skills.
√ Conversant with all MS Office Applications, with strong Excel skills.

Remuneration:
√ Attractive salary package
√ HMO
√ Pension.

[Rheelz @RHEELZZ]

@zaydmy21 Bro that song change in the 3rd video is madt!. Can you help with the name of the mixtape?

[Rheelz @RHEELZZ]

@the_Lawrenz Has anyone seen Wayward pines?

[Rheelz @RHEELZZ]

@egi_nupe But iPhone 15 upwards have the CC features which will show you how many times your phone has been charged, a brand new iPhone 15 pro max must have 0 CC and 100% battery health. Computer village are yet to learn to tamper with CC.

[Rheelz @RHEELZZ]

@wealth_united_ Brentford 1 - 2 Man Utd

[Rheelz @RHEELZZ]

@the_marcoliboy Ousmane 🙌🙌🙌🙌

[Rheelz @RHEELZZ]

@wealth_united_ Man city 3 vs 3 MAN utd

[Rheelz @RHEELZZ]

@AramideOyekunle @WorldBank