BRALIRWA Plc. Part of the HEINEKEN Company’s Post

💼 Job Roles in Data Analytics: Data Analysts and Data Engineers fall under this category, focusing on cleaning, organizing, and interpreting data to generate reports that drive business outcomes. #DataEngineer #DataAnalyst #DataCleaning #Reporting #AnalyticsCareers

🔍 The Most Overlooked Data Analytics Tip: Always Ask “Why?” In my early days as a data analyst, I focus heavily on crunching numbers, creating detailed reports, and visualizing the results. I thought my job was to just present the data. But one day, a client asked a simple question: “Why does this matter to us?” It hit me—I had the data, but I wasn’t connecting it to real-world business impact. 🌍 Since then, my biggest tip for anyone working in data analytics is this: Always ask yourself “Why?” before presenting any insights. Here’s why it matters: Numbers alone don’t drive decisions. The “why” behind the data is what helps stakeholders understand the impact. It connects the dots. Why are sales dipping? Why is customer engagement dropping? Without asking why, you’re just scratching the surface. It builds trust. When you dig deeper, you show your clients or team that you’re not just a data person—you’re a strategic partner. I remember revisiting that client’s report, breaking it down into actionable insights. Instead of saying, “Customer churn increased by 15%,” I connected the data to root causes, and then to solutions. The result? A strategy that reduced churn by 10% in three months! So next time you’re analyzing data, step back and ask yourself: “Why is this important, and how does it connect to the bigger picture?” It might just be the question that takes your analysis from good to game-changing. What’s one key question you ask when working with data? #DataAnalytics #BusinessInsights #DataStrategy #DataDriven #DataStorytelling

Many Data Analytics roles don't have the words "data", "analyst", "analytics" or "analysis" in them! When looking for a data job, the trick is not to look at the job title but the JOB DESCRIPTION. Search for keywords related to data in the job description. Data is UNIVERSAL! — Dikky. #DataAnalytics #Data #DataAnalysis #Analytics

Early in my data analyst career, I learned a valuable lesson: question everything (politely)! Don't assume a field named "Total Sales" truly reflects all sales. A quick clarification can save you time & ensure your stakeholders see the right data. #dataanalysis #datavisualization #businessintelligence

🌟 **Life as a Data Analyst at Dr. Vigor Company** 🌟 Working as a **Data Analyst** for Dr. Vigor Company has been an incredible journey! 💼📊 Every day, I get to manage and transform data into meaningful insights that drive decisions for growth, efficiency, and innovation. Here’s a glimpse of what I do: ✅ **Data Management:** I handle large datasets, ensuring they’re clean, organized, and ready for analysis. ✅ **Insights Generation:** By analyzing trends and patterns, I provide actionable recommendations that help the company make informed decisions. ✅ **Reporting & Visualization:** I create dynamic dashboards and reports that simplify complex data, making it easy for stakeholders to understand. ✅ **Problem Solving:** From identifying operational inefficiencies to predicting customer behavior, I use data to solve real-world challenges. Managing Dr. Vigor’s data is not just about numbers; it’s about telling stories and driving results. The impact of data on business growth is truly amazing! If you’re curious about the world of data analytics or want to know how I use tools like Excel, SQL, or Tableau to manage and analyze data, let me know in the comments. I’d love to share tips or help you get started! #DataAnalyst #DrVigorCompany #DataDrivenDecisions #Analytics

Hello, I know it's been awhile since I've posted on here. Thank you for your continuous support through my data analyst career but I need your help. I want to update my portfolio but I need real life issues plaguing companies. I look forward to your suggestions and comments. #dataanalytics #databases #portfolio

Have a new data request? It's not just about making the dashboard look good. You need to make the requestor look good, too! For most people in data, it doesn't occur to them that their co-workers, the ones making requests, are also their customers. That customer may not deposit money directly into your account, but they do spend internal capital on your services. Part of our job in delivering great products and services to our customers is understanding the request and how it delivers value. But we also need to provide more local value to the requestor. One of the easiest ways to do this is to help make the requestor look good. When a manager requests that you help him save a few minutes of his day reporting metrics to his boss, make that report look extra professional. You will look good to your customer, and he will look good to his customer (his boss). When a data analyst comes to you as a data engineer and asks for help getting data into a format he can use, make that dataset quickly and reliably. You will look good to your customer (the analyst), and he will look good to his customer! #data #dataanalyst #dataanalytics #dataengineering #dataengineer #datascience #machinelearning #value #customerfocus #lookinggood

This is the trend thats going to be there for the next 10 years as well. We can’t unleash AI or ML without the access to clean, reliable and effecient data sets and pipelines. I strongly encourage new grads to consider DE as a strong career option.