Peter Ndiforchu's Linkedin Analytics

You’re not just an entry-level data analyst. You’re a startup. → Just graduated? That’s your pre-seed round—you're building your pitch (aka your resume). → Just started learning data analytics? That’s your product development phase. → Working on your first portfolio project? You’re building your MVP (Minimum Viable Portfolio). This mindset shift changes everything. Startups don’t wait for perfect. They learn → build → ship → get feedback → and repeat. That’s how they grow—fast. When I began my own transition into data, I spent months learning… But I didn’t ship anything. No dashboards. No portfolio. No public proof of progress. Then I realized: The real learning happens when you deliver. When you share that imperfect project. When you get feedback. When you iterate in public. The more I delivered, the faster I improved. That’s when everything changed. So here’s the big takeaway: → Don’t aim for perfect. Aim for progress. → Deliver fast. Learn fast. Grow fast. Want to adopt this mindset and start delivering? Join us this Saturday, June 7th at 12PM EST for the Data Analyst Go-To-Market Bootcamp Orientation. We’ll show you how to take action, build portfolio projects, and accelerate your job search.

Your words are not just words. They are seeds. Every time you speak— → You’re either planting belief → Or you’re planting doubt I’m not trying to be overly spiritual here… But some of you are unknowingly cursing your own growth with your language. You say things like: ✘ “I’m not smart enough for that role” ✘ “I don’t think I qualify” ✘ “I’m just a nobody trying to get in” These statements don’t just reflect doubt. They compound it. They reinforce every limiting belief you've ever carried. Now here’s the truth no one tells you: 👉 You don’t rise above your words. 👉 You rise to the level of the words you speak over yourself. Start speaking differently: ✔ “I am smart and can do all things through Christ who strengthens me.” ✔ “I might not check every box, but I’m a fast learner and I close gaps quickly.” ✔ “I carry the spirit of excellence—every room I walk into gets better.” You don’t need the world to affirm you first. You need to affirm yourself. Because once you do, the world will start to reflect the same energy back. --- ✍🏾 If this spoke to you, drop a 💬 below. 🔁 Share it with someone who needs this reminder. 👀 Follow me for more mindset shifts to help you thrive in your data career and life.

💡 The skills that will print your next 6 figure paycheck (and the one after that) Coursera just dropped its 2025 Global Skills Report. 8 skills are breaking the charts—and every hiring manager’s radar. Master even one of them and you’ll ride the next decade instead of chasing it. 1️⃣ Generative AI Prompt > Prototype > Profit. It’s now the fastest-growing learning track on earth. Ignore at your peril. 2️⃣ Cybersecurity AI without security is a locked Ferrari with the keys on the hood. ⚠️ 5 million open roles say “come secure us.” 3️⃣ Critical Thinking GPT writes the first draft, you decide if it’s brilliant or bogus. Humans who can reason still run the show. 4️⃣ Customer Obsession Tech changes. People don’t. Companies that measure experience win the repeat business war. 5️⃣ Curiosity & Creative Thinking Prompts aren’t magic spells. The best ideas still start with a “what if…?” 6️⃣ Talent Management & Leadership 60 % of today’s jobs will morph or vanish. Leaders who reskill teams become irreplaceable. 7️⃣ Systems Thinking & Resilience Everything is connected—supply chains, data flows, global risks. Zoom out, see the pattern, design the fix. 8️⃣ Data Literacy (SQL / Python / Excel) AI needs clean fuel. Data-savvy pros build the pipelines that feed the models. How to act today Pick the skill that lights you up. Block 30 minutes daily—for 90 days. Ship a micro-project, share the story, iterate. That’s it. Because the market doesn’t reward potential—it rewards proof. 🔔 Your turn: Which skill are you doubling-down on this quarter? Drop it below and let’s keep each other accountable. 👇

Most analysts chase technical mastery— SQL. Python. Tableau. But the pros who rise fastest level-up their leadership stack just as hard. Here are 9 high-leverage skills that turn “order-takers” into strategic partners: 1. 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿 𝗥𝗮𝗱𝗮𝗿 𝗠𝗮𝘀𝘁𝗲𝗿𝘆: Map every stakeholder’s KPI, timeline, and risk before writing a single query. Influence begins with radical empathy. 2. 𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗧𝗶𝘁𝗹𝗲: Use timing, rapport, and well-placed insights to drive action even when no one reports to you. 3. 𝗔𝗴𝗶𝗹𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Treat every ad-hoc request like a mini-product: scope → roadmap → checkpoints → retrospective. 4. 𝗦𝘁𝗼𝗿𝘆-𝗟𝗲𝗱 𝗗𝗮𝘁𝗮 𝗡𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲𝘀: Convert rows into a movie plot—problem, tension, resolution—so non-technical teams act the moment the slide hits the screen. 5. 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 𝗙𝗼𝗿𝗰𝗲 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗲𝗿 Teach juniors the shortcuts you wish you knew. Your influence compounds when your knowledge circulates. 6. 𝗜𝗺𝗽𝗮𝗰𝘁-𝗕𝗮𝘀𝗲𝗱 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 When requests flood in, stack-rank by revenue, cost, or customer impact—not by who shouts loudest. 7. 𝗦𝗵𝗮𝗿𝗽 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗰𝘂𝗺𝗲𝗻 Learn the P&L, customer journey, and competitor moves so your recommendations ring CEO-level true. 8. 𝗕𝗶𝗴 𝗣𝗶𝗰𝘁𝘂𝗿𝗲 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 Tie each analysis to larger bets—new markets, products, or cost plays—to prove you’re playing chess, not checkers. 9. 𝗕𝗶𝗮𝘀 𝗙𝗼𝗿 𝗔𝗰𝘁𝗶𝗼𝗻 Perfect is slow. Ship MVP insights, iterate fast, and build visible momentum. Tools get you in the door. Leadership skills earn you a seat at the table. Ready to lead—not just analyze? Drop a ⭐ below or hit Follow for daily data career-accelerating playbooks.

Data Analytics isn’t a marathon – it’s a rocket launch. Most people never leave the launchpad because they stare at the 1,000-step checklist. I boiled it down to the only 10 moves that matter (see infographic 👇). 1️⃣ Define Your “Why” Purpose fuels persistence. 2️⃣ Think in Spreadsheets If you can’t model it in Excel/Sheets, you can’t model it anywhere. 3️⃣ Conquer Core SQL Data lives in databases—speak its language. 4️⃣ Automate Data Cleaning 90 % of the work is wrangling. Script it, don’t suffer it. 5️⃣ Visualize with Purpose Pretty charts are useless; actionable charts move revenue. 6️⃣ Craft Insightful Stories Executives remember narratives, not null values. 7️⃣ Ship Portfolio Projects Credibility is built in public, not in theory. 8️⃣ Publish & Network Share the journey—opportunities hide in comments and DMs. 9️⃣ Collect Brutal Feedback Iterate like a startup; ego is the enemy. 🔟 Iterate → Level Up Repeat the loop, raise the bar, compound your value. 🌟 Ready for lift-off? Smash Follow for weekly playbooks, templates, and behind-the-scenes breakdowns that turn curiosity into a six-figure analytics career.

It's always so exhilarating to take a break from your work and learn something new ✨️ Today we deep diving into Excel and breaking with Emoji games. Thanks to Toze Francisco, CFA, AFM, CFM for the amazing training session today 💪🏾 Can anyone guess these mega companies by the emojis in the image? You're pattern recognition skills are on point if you can get at least 9/10

I have a love/hate relationship with SQL SQL is my soul mate, she always comes through when I'm in need ❤️ On those days when stakeholders ask "could you quickly pull X data?" she got my back😌 Somedays I'm really mad at her 😠 She takes 60 minutes to get me data I need urgently I guess sometimes it's not her fault, especially after removing SELECT *, applying WHERE & LIMIT clause and substituting complex subqueries with proper JOINS The house in which she lives (DBMS) sometimes gets overloaded (too many requests) I realized that certain times of the day her performance is top notch 😍(fast executions) So I decided to schedule a job on data I need almost every day early in the morning or just before signing off work Our relationship has since then been very romantic This our relationship, though a love/hate one but the love prevails. What's your relationship with SQL?

Many more aspiring Analyst need to adopt this beginner mindset and celebrate every milestone no how matter how small like writing a simple SELECT query on real word data. Way to go Amanda Ward 👏🏾👏🏾

If you keep living the same year over and over… You might not be growing. I know what that feels like. I’ve had seasons where I’d wake up and feel like I’ve lived this exact same day for the past year. Same food Same commute Same conversations Same gut-wrenching feeling of being stuck That’s when I realized something needed to change. Before: I clung to familiarity—even when it wasn’t serving me I avoided risk—even when I knew it could lead to growth I chose routine over renewal Now: I seek out the discomfort that comes with growth I take calculated risks with high ROI—mentally, spiritually, and professionally I prioritize movement over maintenance Change is no longer something I fear. It’s now something I plan for. Because on the other side of change… is progress. If you feel stuck, maybe it’s time to stretch. --- 👉 Follow me for more insights on navigating data careers, personal growth, and breaking out of stagnation.

From Confused to Hired: Clarity Coaching for Data Careers Feeling stuck or overwhelmed on your journey into data analytics? You’re not alone—and the missing piece might not be more skills... it’s clarity. Join me for a powerful LinkedIn Live conversation with Juliet Ijere, a seasoned Business Analyst and Career Clarity Coach who’s helped dozens of professionals transition successfully into data roles. We’ll break down the 5 Ws of Career Clarity: - What do I want? - Why do I want it? - When do I want it? - What is required to get it? - Who can help me get it? Expect practical strategies to: ✅ Get unstuck in your transition ✅ Choose the right data role for you ✅ Build a roadmap with purpose and direction If you’ve been chasing certifications without progress, it’s time to shift focus from doing more to knowing why. 🔔 RSVP now and bring your questions. Let’s help you find the clarity to take your next bold step into data.

I remember starting my career in data analytics lost in sea of content Confused about what to focus on, what skills to build first, and who to connect with to get sound advice. Then I stumbled on a few content creators here on LinkedIn giving free valuable content that helped me get clarity on my data analytics career journey After breaking into the field I started giving back to the community and sharing what I learned on my journey. I grew a significant following by just sharing my knowledge and many people got jobs by implementing the practical advice I shared on how to land data analytics roles. As I grew in my career, I didn't have time to do as many live Q&A sessions as I would've loved to. I'm going back to my roots of sharing practical advice and building strong connections with my community here on LinkedIn. Join me and Kwankah Taka as we tune in live on Saturday, May 31st at 1 PM EST to answer all your burning questions on how to get a data analytics role in this increasingly competitive landscape. No fluff, no sponsorship, just pure Q&A with the sole purpose of answering your questions with practical advice. Share with your friends and add to your calenders so you don't miss it.

Coursera and Udemy are not the only online learning sites Your options for learning data analytics are endless Traditional brick-and-mortar is a thing of the past Online learning is the future. Get on board! #dataanalytics #courses #dataachievers

🌟 A fascinating career pivot story that caught my attention: Sarah, a recent graduate from Lagos, transformed her basic Excel skills into a full-time remote data analytics role in just 6 months. Her approach? Building a portfolio through freelance projects. Instead of endless job applications, she started small on Upwork: • Building inventory systems for local shops • Creating basic sales dashboards • Automating monthly reports Each tiny project unlocked new skills: → Excel led to VBA → Clean-up jobs introduced Python → Client requests pushed her to master Power BI The game-changer came when a small business needed help with messy customer data. Sarah didn't just clean it - she delivered unexpected value with a Power BI dashboard showing customer patterns. That project sparked everything: • Perfect portfolio piece • Three word-of-mouth clients • Real data storytelling experience After 12 successful projects, she started applying for remote roles. Her portfolio showed real impact, not just certificates. Today? She's analyzing data for a European startup while working from Lagos. The lesson isn't about Sarah - it's about starting small and letting real projects compound into opportunities. --- P.S: This was inspired by my interview with Kwankah Taka on How to Land a Data Analyst role in 2025. I'm interviewing Juliet Ijere on Friday, June 6th. What question would you want me to ask her? #dataanalytics #remotework

The data analysis reality no one talks about I thought escaping customer service for data analysis meant: → No more human interactions → Just me, my SQL, and sweet silence → Pure technical bliss Plot twist: I was dead wrong. My typical Tuesday: • 9 AM: Scrum call • 10 AM: Stakeholder meeting • 11 AM: Requirements clarification call • 2 PM: Results presentation • 3 PM: Follow-up discussion • 4 PM: "Quick sync" that runs until 5 Sound familiar? Here's what they don't tell you about data analysis: 80% questioning, 20% querying Before I write a single line of SQL, I'm asking: - What problem are we really solving? - Why does this metric matter? - What happens if we're wrong? - Who gets impacted by this decision? - Why now? The technical stuff? That's the easy part. SQL, Python, dashboards — you can learn these in 6 months. But questioning everything you see? Reading between the lines? Translating business pain into actionable insights? That's the real skill. And guess what? If you're in customer service, you're already doing this every day. You're diagnosing problems. You're asking follow-up questions. You're connecting dots others miss. You're already thinking like an analyst. The code is just the tool. The curiosity is the superpower. Stop waiting for the "perfect" technical foundation. Your customer service experience isn't a stepping stone to data analysis. It's your secret weapon. What's one skill from your current role that translates better than you think?

Getting your first data role isn’t the finish line — it’s the starting block. You’ve landed the job. Now comes the part no one talks about enough: proving you can do the job. ✅ It’s easy to copy-paste job requirements onto your resume. ✅ It’s smart to tailor your projects to match the role. But here’s the truth: You don’t need to be perfect. You just need to be real. Hiring managers aren’t looking for unicorns. They’re looking for problem solvers who can grow fast and fill key gaps on the team. So if you’re shaky on SQL or still ramping up on data storytelling… Say it. Be transparent. The best teams don’t just hire for what you know now — They hire for what you’re willing to learn next. Most job descriptions are wish lists, not checklists. If you meet 50–60% of the requirements, you’re already in the game. Don’t self-reject. We're all figuring it out. We're all winging it some days. Even your future boss. 💬 What's stopping you from breaking into your dream data role? Drop it in the comments — let’s figure it out together. 👇 --- 📌 Follow me for more insights, real talk, and proven strategies to get ahead in the data world.

15 Brutal Truths About Data Analytics Careers in 2025 🎯 (𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗼𝗻 𝘁𝗼𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗹𝗶𝗲𝘀) Here's what they won't tell you in the job description: 1. 80% of your time isn't analysis - it's cleaning messy data and explaining basic statistics to executives 🧹 2. That fancy ML model? Your boss wants it in an Excel sheet 📊 3. "Entry-level" positions requiring 5 years of experience aren't going away 4. Your biggest competitor isn't AI - it's business analysts who can communicate better than you 🗣️ 5. Those $150K starting salaries? Usually reserved for people with advanced degrees or FAANG experience 6 Knowing Python isn't enough. SQL is still king, and always will be 👑 7. Most companies don't have "big data" - they have "messy data" in multiple Excel sheets 8. The tools change every 6 months. The fundamentals haven't changed in 20 years 9. You'll spend more time in meetings explaining why the data doesn't match their gut feeling 🤦‍♂️ 10. That certification you're proud of? It's the bare minimum 11. Real-world projects are never as clean as your bootcamp examples 12. The highest-paid analysts focus on business impact, not technical elegance 13. You'll need to be a detective, diplomat, and data scientist - all in one day 🕵️‍♂️ 14. Most insights you discover will never be implemented 15. The best data analysts aren't math geniuses - they're problem solvers who can translate data into stories 📚 Harsh? Maybe. Worth it? Absolutely. The field is still one of the most rewarding careers if you know what you're getting into. 💡 Pro Tip: Focus on becoming a problem solver first, data expert second. Would you still choose this career? Drop a 💪 below.

"I don't have time to learn SQL, I already know Excel" Plot twist: If you know Excel, you already know 80% of SQL concepts. Your VLOOKUP? That's actually a LEFT JOIN in disguise. Those Excel Tables you create? They're basically SQL views. But here's the real kicker: Every time you use Excel's Filter function, you're essentially writing a WHERE clause. Every time you use a PivotTable, you're doing a GROUP BY operation. The tools aren't just similar – they're mirrors of each other, just speaking different languages. Think about it: • Excel Tables = SQL Tables • Filter = WHERE • PivotTables = GROUP BY • VLOOKUP = LEFT JOIN • Power Query = Complex SQL Queries The next time someone asks "Excel or SQL?", smile knowingly. Because mastering one is secretly teaching you the other. The only real difference? Scale. Excel for thousands of rows, SQL for millions. Want to master both tools and supercharge your data career? 🚀 I'm diving deep into these powerful connections in my upcoming Data Analyst Go-To-Market Bootcamp, starting June 10th. You'll learn how to leverage both Excel AND SQL to solve real business problems. Only 3 spots remaining for this cohort. Apply using the link in my bio.

This isn’t the certificate I paid for… But it’s the one that paid me back the most. I’ve earned certificates that cost me thousands. An MBA that took blood, sweat, and tears. And a LinkedIn headline that says, “I made it.” But none of them moved me like this one: “🏆 FFA – Fantastic Father Award” Hand-drawn by my 8-year-old daughter. She hid it on my desk. Left clues. Made it fun. When I found it, I froze. And then the memories hit me like a wave: Early morning drop-offs when sleep was calling. Emergency hospital visits that tested my faith. Arguments about bedtime that left me second-guessing. I thought I was being too tough. Too busy. Too unavailable. But this crayon-covered paper told a different story. She saw effort. She felt love. She gave honor. What I learned: Degrees earn you respect. Titles earn you income. But presence? That earns you legacy. Your family isn’t looking at your résumé. They’re watching your consistency. So here’s my question to you: Are you chasing success in a way that your loved ones feel left behind? Because the real awards don’t come with a frame. They come with fingerprints, spelling mistakes, and tears. And those are the ones worth everything. Happy Father's Day!

My wife saved my life. Not in the dramatic Hollywood sense… But in a way that completely altered the trajectory of my life and career. A few years ago, I was stuck in a toxic work environment. I’d wake up dreading work. Felt drained. Depressed. Wrestling with thoughts no one should ever have. I kept it all inside for months. Because I knew opening up meant we’d have to survive on savings and I didn’t want to burden her. But one bedtime conversation changed everything. I finally told her how I felt. She didn’t flinch. We prayed. And the next morning, she looked me in the eye and said: "Quit. God will provide." That same day, I walked into the office and resigned. No backup plan. Just faith and a supportive partner. Since then, I made a promise to myself: Never again will I stay in a place that costs me my peace. I took a risk, learned data analytics from scratch, and built a personal brand that opened doors I never imagined. Today, I’m thriving. But I’ll never forget the woman who saw the light in me when I couldn’t. To anyone stuck in a toxic role right now: ✅ You are not alone ✅ Your health matters more than any paycheck ✅ Small steps can lead to massive change Start learning. Start building. Start believing. And if you have someone cheering for you at home—hug them. That support is priceless. 🙏 Forever grateful to my wife.

That toxic job might be your biggest blessing in disguise. Here's why: I spent 2 years in a workplace that crushed my soul daily. → Micromanaging boss → Impossible deadlines → Zero work-life balance Everyone told me to "stick it out." "You need the experience." "The market is tough right now." But here's what nobody tells you: Staying comfortable keeps you average. That toxic environment became my wake-up call. I quit without a backup plan. Spent 6 months learning data analytics. Built a personal brand from scratch. Now I'm an opportunity magnate. The uncomfortable truth? Your dream job isn't coming to rescue you. You have to rescue yourself. 3 steps that changed everything: 1. Stop making excuses 2. Pick one skill and obsess over it 3. Document your journey publicly The data community didn't just teach me analytics. They taught me I wasn't alone. Your current situation isn't your final destination. Start today.Start messy.Just start.