Hammad Ahmed’s Post

A thought this morning: Anyone else noticing this trend in tech hiring? Companies want 'Data Scientists,' but the role often includes data engineering, database administration, analytics, reporting, and even testing. The title says 'Data Scientist,' but the expectations cover skills in ETL pipelines, SQL management, data visualization, statistical modeling, and QA testing. The expectations literally cover five different jobs. #tech #DataScience #dataanalyst #dataset #project #anomalies #MachineLearning #hiring #techtalent #techtalk.

"Confused about Data Analyst, Data Scientist, Data Engineer, and ML Engineer roles? 🤔 Let’s break it down! In this video, I explain the key differences, how these roles complement each other, and which skills you need to excel in each. 🚀 Whether you're just starting your data journey or looking to pivot, understanding these distinctions can guide your career path. 🌟 📌 Watch the video, and let me know which role resonates with you the most! 👇" #DataAnalytics #DataScience #MachineLearning #DataEngineering #CareerGrowth #AnalyticsCareers #MLEngineer #DataProfessionals #TechCareers #LearnWithVansh

🔮 Vision Alignment: A Key to Successful Hiring 🔮 Ensure your data scientist candidates align with your company's vision and goals. Discuss long-term objectives and see how they envision contributing. Hiring someone who shares your vision promotes engagement and innovation. #CompanyCulture #StrategicHiring

🌟 Attention Data Enthusiasts! Let's Elevate Our Careers Together! 🚀 🚀 Seeking new opportunities in Data? Let's team up 🤝 to elevate our careers! Whether you're a #Data_Engineer, #Analyst, or #Scientist, together we can ace interviews and secure dream roles. By connecting, we can share valuable insights and experiences to ensure success. Let's support each other in achieving our goals in the data domain. Connect with me for a collaborative journey towards career growth! #DataJobs #CareerGrowth 📊✨ #DataScience #MachineLearning #ArtificialIntelligence #BigData #Analytics #DataAnalysis #DataVisualization #DataMining #Programming #Coding #Technology #AI #PythonProgramming #SQL #DataAnalytics #TechJobs #CareerDevelopment #ProfessionalNetworking #LinkedInEngagement #JobOpportunity #dataengineer #softwareengineer #hiring #softwaredeveloper

If you are confused about what role to choose in Data Analytics domain then check out this post. Pick it based on the actual work and opportunities. 1. Data Analyst - Professionals who love dashboards and can visualise anything. Work : Dealing with missing data, bad queries and all for executives to ask for an excel dashboard at the end. 😄 Opportunities : It's a good entry point for transitioning into data science from other fields. 2. Data Engineer - Loves the dirty often underappreciated work. Work : Needs to do a lot of data plumbing and troubleshooting work only for analysts and managers to complain about the inefficiencies of their pipelines. 😁 Opportunities : Can transition towards ML engineering, MLops, Software Engineering. 3. Analytics Engineer - The middle child. Work : Needs to communicate to tech and business people simultaneously, convincing each on what business metrics matter the most. 🙂 Opportunities : Can transition to senior roles in Data more naturally. So.. Which role you are pursuing or aspiring of? #dataanalyst #dataengineer #analyticsengineer #dataanalytics #datascience #linkedin

Transform Data into Insights by Hiring the Right Data Scientist In a data-driven era, businesses that effectively leverage data insights can make smarter, faster decisions. But the key lies in hiring data scientists who bring not only technical expertise but also the ability to translate raw data into meaningful strategies. Finding the right talent with both analytical and business acumen is crucial for maximizing data’s potential. If you’re looking to hire data scientists with top-notch skills and experience, Uplers is here to assist. Our platform connects you with a curated network of pre-vetted expert data scientists, helping you accelerate your data goals without the recruitment hassle. https://lnkd.in/dhHSCStP

Business Analyst

CAREER OPPORTUNITIES IN DATA ANALYTICS There are many career opportunities available in the field of data analytics. Some of the most common career paths for data analysts include: 1. Business intelligence analyst: Using data to help businesses make better decisions. 2. Data scientist: Using data to develop models and algorithms to solve business problems. 3. Data engineer: Building and maintaining data pipelines and infrastructure. 4. Machine learning engineer: Building and deploying machine learning models. 5. Data architect: Designing and building data systems. There are also opportunities for data analysts in a variety of industries, including finance, healthcare, retail, and technology. As the demand for data analysts continues to grow, new career paths are likely to emerge. #georgebassey #data #analytics #ai #machinelearning

🌟 Career Possibilities in Data Science: What Are They? 🤔 Is Data Science the future of our careers? With the explosion of data and the growing demand for in-depth analysis, the opportunities seem endless. But what are the actual career paths available in this rapidly expanding field? 🔍 A few questions to explore: - What are the different roles available in Data Science? Data Analyst, Data Scientist, Machine Learning Engineer, etc. - Which sectors are hiring the most? Technology, finance, healthcare, etc. - How can one best prepare for these careers? Training, key skills, experiences to gain. 💬 And you, how do you envision your future in Data Science? #DataScience #Careers #DataAnalysis #MachineLearning #Opportunities #CareerGrowth #BigData #Tech #Innovation #Reflection