Graduate trainee Opportunity!!!!
Greenwich Graduate trainee program is out!!!
Minimum of a Second Class Upper Division.
Must have completed the National Youth Service Corps (NYSC).
Must not be more than 26 years of age.
Location: Lagos State
Application Deadline: July 8, 2026
https://t.co/7RnUTq0IhX
DAY 19 OF 60 – FIND THE PATTERN, NOT JUST THE PROBLEM
Previously, we looked at an OEE scorecard and identified that Availability was the weakest component of a production line's performance.
In this post, the question changes.
Why was availability low?
This is where downtime analysis becomes valuable.
Imagine reviewing a month's downtime log and finding the following:
🔹 Mechanical Breakdown – 18 hours
🔹 Awaiting Materials – 12 hours
🔹 Changeover & Cleaning – 8 hours
🔹 Operator Absence – 5 hours
🔹 Quality Hold – 3 hours
🔹 Power Outage – 2 hours
At first glance, it looks like six different problems.
But when you visualise the data using a Pareto Chart, a completely different story emerges.
Mechanical breakdowns and delays in receiving materials account for 30 out of the 48 hours of downtime, more than 60% of the total production time lost.
That changes the conversation.
Instead of trying to solve six problems at once, the business can focus on the two issues creating the biggest impact.
✔️ Engineering investigates recurring equipment failures.
✔️ Supply chain and procurement improve material availability.
One simple chart turns a long list of downtime records into a clear, prioritised action plan.
That's what good analytics should do.
It's not about creating more reports. It's about helping the business focus on the few issues that will deliver the greatest improvement.
Measure everything. Prioritise wisely. Improve continuously.
#Manufacturing #DataAnalytics #BusinessAnalytics
@chidirolex If it’s okay with you, I’d love to share some of my manufacturing analytics projects with you and get your feedback whenever you have the time.
DAY 18 OF 60 – READING AN OEE SCORE
Let's take it a step further by looking at what an OEE score is actually telling us.
Imagine a production line with an Overall Equipment Effectiveness (OEE) of 62%.
At first glance, it's just a number.
But when you break it down, the real story begins.
✅ Availability – 85%
The production line was available for most of its scheduled time, but some hours were lost due to machine breakdowns or waiting for raw materials.
✅ Performance – 80%
The line was running, but not at its designed speed. This could be due to equipment wear, operator practices, or minor stoppages that gradually reduce productivity.
✅ Quality – 91%
Most products met the required quality standard, while a small percentage required rework or had to be scrapped.
When these three components are combined, they produce the overall OEE of 62%.
DAY 17 OF 60 – MANUFACTURING DATA 101
OEE • Downtime • Throughput • Yield
Manufacturing is where raw materials become finished goods, but for a data analyst, it's also where thousands of data points become business decisions.
If you want to analyse manufacturing effectively, there are four metrics you must understand:
🔹 OEE (Overall Equipment Effectiveness) – The headline metric that measures how efficiently a production line is performing by combining availability, performance, and quality.
🔹 Downtime – Every minute a machine isn't producing when it should be. The important question isn't just how long it stopped, but why it stopped.
🔹 Throughput – The number of units produced within a given period. High throughput is good, but only when it's achieved efficiently.
🔹 Yield – The percentage of raw materials converted into sellable finished products. Poor yield means wasted materials, wasted energy, and higher production costs.
One mistake many people make is focusing on just one of these metrics.
A factory can have high throughput and still be losing money because of poor yield.
It can have minimal downtime but still perform poorly if its OEE is low.
The real insight comes from looking at all four together.
As analysts, our role isn't just to report these numbers, it's to connect them, understand the story they're telling, and help the business improve efficiency, reduce waste, and increase profitability.
#Manufacturing #DataAnalytics #BusinessAnalytics
I'm planning to build my Data Analyst portfolio website using Claude AI + GitHub Pages.
If it turns out well, I'll share a step-by-step guide so anyone can build theirs for free.
Who's interested?
Your technical skills are not enough, by the way.
You can know SQL, Python, Power BI, Spark, and still struggle to get opportunities.
Why?
Because technical skills alone don’t create opportunities. People need to know:
What you can do
The problems you can solve
The value you bring
You must learn how to pitch and sell your technical skills.
That means:
• Writing a good CV
• Building a portfolio
• Networking
• Sharing your work publicly
• Speaking confidently about your projects and impact
Selling yourself is not arrogance. It’s communication.
The tech industry is full of brilliant people who remain unseen because they never learned this skill.
So, while you’re learning the technical side, also learn how to market yourself.
That’s a skill too.
Graduate Trainee UPDATE ‼️
GCI INTERNATIONAL (Nigeria) Limited is currently accepting applications for their 2026 Graduate Trainee Programme
📍 Port Harcourt
⏰ Deadline: Friday, 3rd July 2026
Qualifications:
- BSc (Min. Second Class Lower) in Chemical Engineering, Mechanical Engineering, Pure & Industrial Chemistry
- NYSC Discharge or Exemption Certificate
- Graduated within the last 3 years | Not more than 28 years of age
- No prior experience required — fresh graduates welcome
How to apply 👇
I think the biggest Olodo is the one who dosen't get what they want out of life
Knowing a demographic rewards foolishness and you decided to go with the times and make money from that is smarter than someone that forms intellectual.
This is the highest form of intellect.
This thread contains everything you need to land a Data or Tech role.
10 actionable strategies and 15+ proven prompts covering:
➝ LinkedIn positioning
➝ CV optimisation
➝ Job application strategy
➝ Interview preparation
➝ Referral outreach
➝ Business-impact portfolio building
And so on.…
Everything recruiters and hiring managers actually evaluate before making an offer.
Data Analyst roles where on decline in 2025.
Apply for these jobs instead this 2026:
- Growth Analyst
- Product Analyst
- Business Analyst
- Financial Analyst
- Marketing Analyst
- Technical Analyst
- Operations Analyst
- Healthcare Analyst
- Tableau Developer
- Power BI Developer
- Decision Support Analyst
- Business Intelligence Analyst
- Risk Analyst
- Fraud Analyst
Don’t get carried away by the fancy titles.
Data Analyst roles have been split into domain specific roles.
ExxonMobil Graduate Trainee Intern Program 2026
Join a global energy leader and kick-start your career in Procurement. Gain real-world experience, build your skills, and make an impact.
Apply here👇
https://t.co/SBvLq894TU
Graduate Trainee Opportunity at EXXON-MOBIL NIGERIA!
sector: Oil and Gas (Procurement/ Supply chain Graduate Intern)
🎓 BSc., B.A, LLB, B.Eng, B. Tech
✅️ Minimum of 2:1
✅️ Completed NYSC
✅️ Not more than 2 years post NYSC
📍Lagos
Deadline Not specified (Apply ASAP)
JOB ALERT
GRADUATE TRAINEE RECRUITMENT 2026 AT CANDIX ENGINEERING LIMITED
Requirements :
- Minimum of Second Class Degree
- 0–2 Years Experience
- Proficiency in Microsoft Excel (basic data analysis & reporting skills)
- Good Communication Skills
https://t.co/qQKn1O7M6X
JOB ALERT
2026 Graduate Trainee Programme at GGI International
Requirements :
- BSc (Minimum Second Class Lower) in any of: Chemical Engineering, Mechanical Engineering, Pure and Industrial Chemistry
- NYSC Discharge or Exemption Certificate
- Minimum Of Second Class Lower
- Graduated Within the last three (3) years
- Not more than 28 years Of age
- No prior work experience required — fresh graduates encouraged
https://t.co/NSMZNNoswz