Emmanuel Nduka

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Emmanuel Nduka

Emmanuel Nduka

@ndukademanuel

Financial Data Analyst- Finance| Ecommerce| Logistics. Helping businesses with finance Automation, Analysis, & Advisory.

Remote Katılım Ocak 2014
1.9K Takip Edilen363 Takipçiler
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
My first project in public. This is an ecommerce dashboard highlighting relevant KPIs such as Revenue, Quantity sold, Customers’ Insight, Monthly Sales, & Geographical Sales Distribution. This project was built from @obohX tutorial videos. Many thanks to you.
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Ball
Ball@SamTayme·
@lHouHiGhASsshii @mide_io He looks more like a modern-day Palestinian, so he's brown, and the Bible described him as a brown man. Besides, he's a fictional character.
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Ivory ✪
Ivory ✪@mide_io·
one has to go
Ivory ✪ tweet mediaIvory ✪ tweet mediaIvory ✪ tweet mediaIvory ✪ tweet media
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Johnson Taiwo 🇬🇧
Johnson Taiwo 🇬🇧@Johnsontaiwo_·
If you're a Data Analyst, E-Commerce Analyst, or aspiring Retail Analyst who wants to move from reporting dashboards to driving real commercial decisions, read this: It is not only about dashboards. Modern e-commerce teams promote analysts who can: • Forecast demand under uncertainty • Optimise inventory and release working capital • Model cost-to-serve and margin impact • Quantify supplier and operational risk • Mitigate stockouts and lost-sales exposure • Design efficient distribution and network flows • Explain profitability in executive language Most analysts track KPIs. Very few understand capital and operational impact. That's the gap I'm closing with the >>Commercial Analytics Portfolio Blueprint<< a 10-project system designed to transform you from a tool-based analyst into a commercial decision-maker. Here are the 10 projects you'll build: 1. Unit economics and contribution margin modelling 2. Customer lifetime value (LTV) frameworks 3. Pricing elasticity and promotion impact analysis 4. Inventory optimisation (capital-focused) 5. Cost-to-serve modelling 6. Stockout and lost-sales simulation 7. Supplier risk analysis 8. Network and distribution optimisation 9. Demand forecasting and scenario simulation 10. Integrated capital allocation and margin efficiency modelling By the end, you'll have: • 10 portfolio-ready retail case studies • Structured GitHub repositories with production-quality code • Executive-style strategy memos for each project • Scenario simulation engines • Financial and capital efficiency models This positions you for roles like: E-Commerce Analyst | Retail Commercial Analyst | Revenue Analyst | Pricing Analyst | Growth Analyst | Marketplace Strategy Analyst This is not decorative analytics. This is the thinking and toolkit that separates junior analysts from commercial leaders. If you want the roadmap: 🔗 Like 🔗 Repost 🔗 Send me a DM, I'll share it
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Tina Okonkwo
Tina Okonkwo@Rita_tyna·
Most data portfolios don’t get you hired. Not because you’re not good… But because you’re building the wrong projects. I put together 5 portfolio projects that actually get data analysts hired — with real business questions, not just dashboards. If you want the full guide + dataset links, 👉 Comment PORTFOLIO and I’ll send it to you.
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Duru | Data Analytics
Duru | Data Analytics@DuruOzii·
I’ve been thinking… What if we create a focused data analytics circle where: We share real insights Review each other’s projects Stay accountable No distractions. Just growth. If you’re interested, comment ‘IN’
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
Key Metrics 1. Revenue by Month 2. Number of transactions by Day of the week and Hour of day. 3. Number of transactions by Product category. 4. Number of transactions and Revenue by Product Type.
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
OBJECTIVE 1. Profile and prepare the raw data for analysis. 2. Explore the data using excel pivot tables. 3. Build dynamic dashboard to visualize patterns and trends.
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
This is a simple dashboard for a Coffee Sales Business that has three different locations. The core objective of this project was to better understand purchase behavior and streamline operations.
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Technical Ben
Technical Ben@TechnicalBben·
Everyone in my niche charges $45–$50 per hour and has an insane portfolio. I knew I couldn’t compete head-on as a beginner, so I made a different move. I positioned myself like an expert, adjusted my pricing, and used strong CTAs to attract the right kind of clients. I landed a client who wanted to cut costs. I later found out their original budget was $400, and that was all they planned to spend. For that type of task and tool, people usually charge way more. But because I knew how to negotiate and communicate value, I secured the deal at a good starting price. We agreed on $400 and I clearly defined what that would cover. As the project went on, they realized it would take more time than expected, so I communicated that early. They agreed to pay for extra hours, and that one deal ended up bringing in over $3,000. It was a good deal for and for them if they had gone for the idolo's they would get billed like crazy. A lot of people on X will say one thing and do something else in reality. Don’t let them speak for you. Not everyone is closing $3K deals, and that’s fine. Now with AI in the mix, things are even more competitive. I still take $20–$50 jobs, but I’m clear about scope. "I tell clients exactly what that budget will cover if you want quality you get to pay higher, and if it works, we move forward." I made about $15K in my first year, mostly from small jobs. Those small jobs compounded. The same clients told me they are coming back with more projects because I was affordable and reliable within their budget. And I can also get referrals too. That’s how I built my portfolio and real experience all in my first year in the tech space. Everybody is shouting “you can’t charge 50K.” But sometimes, the real problem is not the amount, it’s the lack of negotiation skills. Most people in tech don’t even know how to negotiate properly. It’s not always about charging the highest price. It’s about knowing how to position yourself, communicate value, and negotiate your way into bigger opportunities. No, all of us go make $5000 and that's fine.
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
@ObohX Other relevant KPIs include Top selling Products, Revenue by Store Division, Revenue by Transaction type, Top Suppliers , Sales by weekly trends, etc. Tool: Excel (Pivot Table, Power Query, Power Pivot)
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
My first project in public. This is an ecommerce dashboard highlighting relevant KPIs such as Revenue, Quantity sold, Customers’ Insight, Monthly Sales, & Geographical Sales Distribution. This project was built from @obohX tutorial videos. Many thanks to you.
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Emmanuel Nduka retweetledi
Johnson Taiwo 🇬🇧
Johnson Taiwo 🇬🇧@Johnsontaiwo_·
If you're a Data Analyst, Risk Analyst, or aspiring FinTech Analyst who wants to move from reporting dashboards to making financial decisions, read this: Dashboards are not enough. Modern financial institutions promote analysts who can: • Quantify credit risk • Detect fraud trade-offs • Model expected loss • Optimise portfolio returns • Allocate capital responsibly Most analysts learn tools. Very few learn capital thinking. So I built the FinTech Capital Intelligence Blueprint to move you from metric reporting to capital decision intelligence. A system with two parts: >> 1. Finance & FinTech Analytics Learning Framework Learn how institutions actually operate: • Financial system mechanics • FinTech unit economics under risk • Governance & regulatory thinking • Capital allocation logic • Executive financial communication >>2. The 12-Week Practical FinTech Analytics Roadmap Build 10 real-world projects: • BNPL unit economics • Payments revenue intelligence • Credit risk modelling • Fraud optimisation • Portfolio stress testing • Capital allocation simulation • LTV & churn economics • AML optimisation • Credit limit strategy • Revenue forecasting This is not decorative analytics. This is institutional-level financial thinking. If you want the roadmap: 1️⃣ Like 2️⃣ Repost 3️⃣ Comment ROADMAP 4️⃣ ‼️Send me a DM, and I’ll share it.
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
@Rufyb "So what you should do now is to properly invest in the knowledge that allows you properly assess these trends and act as appropriate." Please any pointer, roadmap, or "how to" on your statement that I quoted? Thank You Sir.
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Rufybaba
Rufybaba@Rufyb·
Again, for the umpteenth time, no economy in this world... I mean, not even one, validates economic theory more than Nigeria. The way I laugh when people say Nigerian defies economic logic. It is so baffling because it is so clear and you sure know what will happen. If you don't understand how macroeconomic principles work, it is fine. Or if you don't understand them enough, or you only understand one part and can't process the other moving parts, it is very fine too. But Nigeria is super predictable when you see the trends. And that is why you lots baffle when others lose money and people in finance tend to make money. So what you should do now is to properly invest in the knowledge that allows you properly assess these trends and act as appropriate. There is no single thing happening today that is surprising to anyone who understands macro well.
ripples@Adheydayor

Are Nigerians not holding the Naira now?

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Johnson Taiwo 🇬🇧
Johnson Taiwo 🇬🇧@Johnsontaiwo_·
If you’re a Data Analyst, CRM Analyst, or aspiring Marketing Analyst who wants to move from Junior into senior-level commercial impact in the next 12 weeks, read this. 👇👇 You don’t get promoted for building dashboards. You get promoted for influencing revenue. Most analysts stop at reporting: - CTR. - Conversion rate. - CPA. Senior analysts answer: Where should we scale? What should we cut? Why did revenue move? What do we do next? That’s a different level of thinking. So I built a 12-week practical roadmap designed to move you from metric reporting to commercial decision-making. No theory-heavy fluff. No passive courses. No random portfolio projects. Just 7 real-world builds using real datasets: • Campaign ROI & budget reallocation • Conversion prediction (lead scoring) • A/B testing with statistical confidence • RFM segmentation for retention strategy • Churn risk analysis • Cohort retention modelling • Marketing mix & incrementality thinking By the end, you’ll have: • 6–8 commercial case studies • A strong public portfolio • Clear KPI fluency • Interview-ready impact stories This is how you transition from “analyst” to revenue operator. If that’s your goal, reply ROADMAP, REPOST, and I’ll share it to your DM.
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JIMOH A.O
JIMOH A.O@benefit2cryp·
@ndukademanuel Video is not the only thing boss. You have to read and practice. But if you can check on YouTube. You are good to go
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JIMOH A.O
JIMOH A.O@benefit2cryp·
That 2hr Video can't turn you to an expert. Enjoy your day 😍
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Emmanuel Nduka
Emmanuel Nduka@ndukademanuel·
@jon_d_doe -I woke in a new Bugatti by acehood ft rick ross, future -Otis by jayz & kanye west -john by lil wayne ft rick ross -drip too hard by lil baby ft gunna
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Àgbà John Doe
Àgbà John Doe@jon_d_doe·
Dear young men, Which song would you play first, in your first car?
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PRIME
PRIME@Prime_Analysis·
Hello #DataFam 👋 I found a way to make data cleaning less painful & way faster: A Data Cleaning Checklist. Check off steps as you go, track your % progress, and never second-guess your process again. Comment “Checklist” & I’ll send you the file.
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