Freelance Business Analysts in NigeriaFreelance Business Analysts in Nigeria
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USMAN AKINTOBI's avatar
USMAN AKINTOBI
Nigeria
Making Sense of Data to Drive Decisions
5.0
Rating
6
Followers
Making Sense of Data to Drive Decisions
Cover image for Housing Dashboard
Housing Dashboard
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Cover image for Energy Dashboard
Energy Dashboard
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Cover image for DSP Asset Managers
DSP Asset Managers
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Cover image for Context-Aware Fintech User Feedback Classification
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
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138
Business Analyst(3)
Augustine Isife's avatar
Augustine Isife
Lagos, Nigeria
Market Researcher | Business Analyst | Technical Writer
New to Contra
Market Researcher | Business Analyst | Technical Writer
Cover image for A focused, fully sourced market
A focused, fully sourced market intelligence brief on China's EV export surge,built to demonstrate how a complex trend gets distilled into a fast, executive-ready read. China surpassed Japan as the world's largest vehicle exporter in 2023, with exports growing 5.4x in three years, from roughly 1 million units in 2020 to over 5 million by 2023, driven overwhelmingly by electric and plug-in hybrid vehicles. Every figure sourced from named trade and financial press, with inline citations throughout. Built for readers who need the bottom line fast, not a 20-page deep dive. This is the format every Market Intelligence Brief follows: the bottom line stated plainly up front, the key data points that support it, and what it means for the reader's next decision, delivered in a fraction of the time a full report takes.
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Cover image for Executive-grade strategic and market intelligence
Executive-grade strategic and market intelligence research, built on the same rigorous process regardless of industry, primary sources, inline citations, and clear strategic recommendations rather than generic summaries. This capability has been applied to sectors from artificial intelligence to automotive, and adapts directly to whatever industry a client needs analyzed. Every report anchors on company filings, investor disclosures, and regulatory data, corroborated by named trade and financial press coverage. Every specific figure carries an inline citation, nothing is asserted without a traceable source. What every report covers: market sizing, growth, and competitive landscape; data-backed exhibits, charts, and comparison tables; risk factors and regulatory considerations; strategic recommendations for executives and investors. Available as a full strategic report, or a fast 2-page executive brief, scoped to your industry and specific questions.
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Cover image for China's EV Export Surge – Strategic Intelligence Report for ...
China's EV Export Surge – Strategic Intelligence Report for Automotive Executives
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Cover image for A fully costed investment pitch
A fully costed investment pitch and partnership proposal, built for a real capital-light import venture. Goes beyond a concept pitch, every number is grounded in actual sourcing, shipping, and logistics costs, not estimates pulled from thin air. Key findings: $17,000 total capital required, fully itemized across sourcing, freight, clearing, and contingency; 26–34% target return per cycle, with a 20–35 day full cycle from payment to profit; a clear, staged growth roadmap from a 100-unit founding batch to 300+ units per month. What every pitch deck covers: the opportunity, sized and sourced honestly; full financial breakdown, capital, costs, returns; risk management and mitigation, not just upside; clear partnership structure and next steps. Available as a full investor prospectus, or a fast 2-page executive summary version depending on what your audience needs.
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Business Analyst(3)
Mamman Umar Dino's avatar
Mamman Umar Dino
Abuja, Nigeria
Data Analyst | Power BI, SQL & Excel Specialist
8
Followers
Data Analyst | Power BI, SQL & Excel Specialist
Cover image for NovaOps — E-commerce & Operations
NovaOps — E-commerce & Operations Analytics The problem: Many businesses have plenty of sales and operational data, but still struggle to answer the questions that affect revenue, inventory, fulfillment, and day-to-day decisions. Important problems can stay hidden: Revenue or sales performance starts declining without a clear reason. Poor-performing products are difficult to identify. Inventory issues can lead to stockouts, excess stock, or missed sales. Delivery and fulfillment delays affect customer experience. Operational inefficiencies remain buried inside spreadsheets and raw data. Management spends too much time compiling reports instead of acting on them. NovaOps turns that data into something management can actually use. It is an E-commerce & Operations Analytics solution designed to help businesses monitor performance, identify problems, uncover opportunities, and make faster, data-driven decisions. What NovaOps helps solve 📊 Sales Performance — Understand revenue, orders, products, and trends. 📦 Inventory & Stock Risk — Identify products that need attention before inventory problems become costly. 🚚 Fulfillment & Delivery — Monitor operational performance and uncover delays and bottlenecks. 🔎 Performance Gaps — Quickly see where the business is underperforming and what deserves attention. 💡 Decision Support — Transform raw business data into clear insights and actionable recommendations. The business value Instead of spending hours going through spreadsheets and disconnected reports, decision-makers get a clearer view of what is happening, why it matters, and where to act. NovaOps can help businesses reduce avoidable losses, improve operational visibility, identify revenue opportunities, and make better decisions faster. Built with SQL, Excel, and Power BI, with the focus always on the business problem not just the charts. If your business has data but you're not getting enough value from it, NovaOps is built to close that gap.
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Cover image for 🚨 $2.04M in revenue. 6,000
🚨 $2.04M in revenue. 6,000 orders. But what’s really happening inside the business? I recently completed a simulated e-commerce analytics case study focused on commercial performance and operations. The objective was simple: Turn transactional data into a clear decision-making tool for management. Using Power BI, SQL & Excel, I analyzed the business across revenue, products, orders, customers, fulfillment and operational performance. And the analysis uncovered several issues that could easily be missed in a traditional spreadsheet: 🔴 Revenue concentration: Electronics generated $1.1M+, while Laptop Pro 15 dominated product revenue creating significant dependency on a single category and product. 📉 Revenue decline: Monthly revenue peaked at $89.8K in February 2025 before trending downward through the latest 2026 periods. ⚠️ Order attrition: 6.91% cancellations + 3.76% refunds = 10.67% of placed orders not retained as completed sales. ⭐ Customer experience: 74% of rated orders received 4–5 stars, but roughly 1 in 4 ratings were 3 stars or below. 🚚 Operations: Average delivery time was 5.07 days, with only a 0.4-day spread across major cities suggesting delivery consistency was not the most pressing issue. 📊 The solution I built a 2-page Commercial & Operational Performance Dashboard: Page 1 — Commercial Performance Revenue • Orders • AOV • Units • Monthly Trends • Category & Product Performance • Acquisition Channels Page 2 — Logistics & Operations Delivery Performance • Cancellations & Refunds • Customer Ratings • Payment Method & Order Status But the dashboard doesn't just display what happened. It creates a single view of where performance is strong, where revenue may be at risk, and which areas require deeper investigation. Management can quickly identify: • Where revenue is concentrated • Where sales are being lost • Which products and channels are performing • Whether operational performance is becoming a concern • Where further investigation should be prioritized • That's the real value of business analytics: Turning data into clarity for better decisions. I'm building my expertise as an E-commerce & Operations Data Analyst, helping businesses use their data to understand performance, identify risks and make better operational decisions. If your business has data but you're not getting clear answers from it, let's change that. 📩 DM me “ANALYZE” and let's discuss what your data could uncover.
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Cover image for Completed the Deloitte Data Analytics
Completed the Deloitte Data Analytics virtual simulation by designing an interactive Power BI manufacturing telemetry downtime dashboard and executing a logical pay equity classification model in Excel to translate raw operational data into executive insights."
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Cover image for Engineered automated data pipelines using
Engineered automated data pipelines using SQL staging views and built a dynamic Power BI executive dashboard with Excel support, featuring custom DAX period-over-period metrics and interactive KPI cards to optimize business reporting workflows.
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Business Analyst(4)
Jelilat Oluwatosin Abdullateef's avatar
Jelilat Oluwatosin Abdullateef
Nigeria
Data entry | data analyst & visualization specialist
18
Followers
Data entry | data analyst & visualization specialist
Cover image for Sales Report Analysis
Sales Report Analysis
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Cover image for Pizza Sales Report
Pizza Sales Report
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Cover image for Online Retail Analysis
Online Retail Analysis
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Cover image for Comprehensive Menu Data Collection for Hartsfield-Jackson Atlant
Comprehensive Menu Data Collection for Hartsfield-Jackson Atlant
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30
Business Analyst(2)
Yusuf Olanrewaju's avatar
Yusuf Olanrewaju
Lagos, Nigeria
Data Analyst With expertise in Excel, SQL, Power BI, & SPSS
Data Analyst With expertise in Excel, SQL, Power BI, & SPSS
Cover image for Sales Inventory Analysis
Sales Inventory Analysis
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6
Cover image for HR - Analysis
HR - Analysis
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Cover image for Comprehensive Company Performance Analysis
Comprehensive Company Performance Analysis
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13
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Business Analyst(3)
Ikenna Addo's avatar
Ikenna Addo
Nigeria
Insightful Data Scientist & Analyst 📊
Insightful Data Scientist & Analyst 📊
Cover image for Student Engagement Report
Student Engagement Report
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25
Cover image for addoikenna/Data-Analysis-with-Python
addoikenna/Data-Analysis-with-Python
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8
Cover image for addoikenna/Mexico-City-Real-Estate-Price-Prediction
addoikenna/Mexico-City-Real-Estate-Price-Prediction
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Business Analyst(2)