BayWa r.e. Solar Distribution / US’ Post

🎉 And the results are in... 🎉The best type of Analytics Engineering job opportunity is 🥁 Last week, I posted a poll to uncover the most attractive type of Analytics Engineering role. Here's what you all had to say: 1️⃣ The first data hire — capturing the logic around the business and setting up the data foundations and stack: 37% 2️⃣ Joining an established data team with a mature stack — typically growth or replacement hires: 34% 3️⃣ Joining a data team that's new to the modern data stack or Analytics Engineering: 28% Are you surprised by these results? 🤔 I'd love to hear your thoughts in the comments! 💬 #DataAnalytics #AnalyticsEngineering #DataCareers #PollResults #DataTeam #ModernDataStack

🚀 SQL Challenge 2 Solved! 🤓 Curious about identifying unique first names efficiently in SQL? In my latest "SQL Challenge" video, I delve into the task of isolating distinct first names from a patient database. 🔍 Key Takeaways: Learn how to filter out recurring names effectively. Utilize SQL to streamline complex data filtering tasks. Enhance your SQL skills with real-world problem-solving. 📊 Result Preview: Discover techniques for isolating unique first names from your dataset. Efficiently manage recurring name occurrences in your analysis. 🚀 Ready to Contribute: Seeking roles in data analytics, I bring hands-on experience and a commitment to delivering impactful insights. #DataAnalytics #SQLSkills #ProblemSolving #DataAnalysis #NowHiring #TechJobs

Hello #linkedin family, Thrilled to unveil my latest accomplishment as a data analyst: designing an electric vehicle dashboard using Power BI! 🚗💡 Through hands-on learning and meticulous execution, I've delved into the world of data visualization, translating complex information into actionable insights. In this project, I've not only crafted visually engaging dashboards but also performed in-depth analysis, calculating key metrics such as the average electric vehicle usage, percentage breakdown of vehicle types, and total vehicle counts. This hands-on experience has further honed my analytical skills and reinforced my commitment to driving impactful insights. #DataVisualization #ElectricVehicles #PowerBI #LearningByDoing #DataAnalyst #hiring #opentowork #datascience

Why Choose Data Analytics as a Career? Are you considering a career that's in high demand, offers endless growth opportunities, and allows you to drive business impact? Look no further than Data Analytics! Here are just a few reasons why Data Analytics is an amazing career choice: - *High demand*: With data driving business decisions, companies are hungry for professionals who can collect, analyze, and interpret data. - *Variety*: Data Analytics spans industries, functions, and roles - from finance to healthcare, marketing to operations. - *Growth*: Develop skills in programming languages like Python, R, or SQL, and tools like Tableau, Power BI, or Excel. - *Impact*: Drive business decisions, optimize processes, and create data visualizations that tell stories. Make the switch to Data Analytics and discover a world of possibilities! #DataAnalytics #CareerGrowth #JobSeekers #DataScience #Analytics #BusinessIntelligence

I always thought Data Analyst are the most in demand positions in Data. It turns out I was wrong. Here is an actual number of openings on LinkedIn per each Data related job as of January 2024. Here is a list in DESC order 👇 🔎 𝐀𝐈 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 - 39,610 openings 🔎 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 - 37,517 openings 🔎 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 - 30,836 openings 🔎 𝐌𝐋𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 - 23,954 openings 🔎 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 - 9,901 openings 🔎 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 - 6,633 openings 🔎 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 - 6,582 openings 🔎 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 - 4,561 openings 🔎 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 - 3,441 openings Did you think the same? #dataanalytics #datascience #jobhunt

There is not a subclassification of data engineer so it looks like there is a huge demand for data engineering. Are the prerequisites for AI Product Manager, Machine Learning Engineer, MLOps Engineer (ML part), Data Analyst, and Data Scientist similar? In addition, initial effort for getting a DS&ML (or similar) roles is much more than data engineering. Algorithms were built on top of maths(statistics, linear algebra, etc) and new algorithms are not discovered so frequently. When you learn them, learning curve may be smoother. #dataengineering #datascience #machinelearning On the other hand, initial effort for data engineering is less that former. However, in each year new cloud services or open source tools are being created. Tech stack and market demands are changing so frequently. And companies prefer different technologies. In company A, a data engineer is using Spark. When he/she started to work at company B, he/she needs to learn Flink, Kafka or GCP. For that reason, you need to learn and adapt continuously.

Data aggregation is essential for various analytical tasks such as generating summary reports, calculating key performance indicators, and identifying trends and patterns in the data. Mastering data aggregation techniques in SQL is crucial for performing effective data analysis. Data aggregation involves summarizing and consolidating data from multiple rows into a single result. This is crucial for generating insights from large datasets. Here's a brief overview of how data aggregation works: 🔁 Repost/Reshare with your network. --------------------- ✉️ For those who encountering my post for the first time, I'm Mustafa ., a Top Rated Data Analyst who mostly shares lessons from my mistakes and learning materials. Connect with me for more insights. ✔️ #dataanalysis #dataanalytics #data #datajobs #tips #tricks #salary #salaryincrease #datavisualization #powerbi #excel #python #sql #hr #manager #ceo #recruiter #headhunter #cto #hiringalerts #linkedin #letsconnecteveryone #letsconnect #mustafa #mondaymotivation #apple #microsoft #follow #sql #sqldeveloper #repost #share #today #salary #google #amazon #microsoftexcel #statistics #statisticaldataanalysis #datacleaning #sqlfunctions

Unlock your career potential in Business Intelligence! From analysts to developers, there's a wide array of exciting roles waiting for you. 🔍💼 Follow Advithri for the latest updates on #CareerGrowth . . . . . . . #BusinessIntelligence #PowerBI #BIAnalyst #DataAnalytics #DataVisualization #BIJobs #CareerOpportunities #DataScience #Analytics #TechCareers #JobSearch #DataEngineering #BIDeveloper #SoftwareEngineer #TechJobs #CareerGrowth

Data Network... 👀 I'm planning on going to this years Big Data LDN event - whilst there's loads to see and learn at events like this I want to make sure I'm meeting as many people as possible. 🤝 If you're planning on attending and fancy grabbing a coffee to discuss the event / the job market / potential new opportunities - hiring or for yourself - I want to speak to you! ☕ Drop me a message and we can get meetings put in the calendar! 🗓 Salt #data #hiringdata #analytics #hiring #bigdataldn

Is 2024's hiring frenzy leaving you overwhelmed? You're not alone. But hold on, before you settle for "data specialists" with just a few months' experience, let's talk EXPERTS. The truth: the UK is flooded with recruiters slapping on the "data" label, but true expertise takes years, not months. Don't be fooled by empty titles! Ask yourself: ➡ Industry experience: How long have they been recruiting in YOUR field? ** Years, or just months of generic "data" experience? ➡ Company track record: Is their firm an established expert in your sector, or just jumping on the data bandwagon? ➡ Network clout: Do they have the connections to reach the top talent, or are they relying on generic job boards? At MBN, we're not just "data recruiters." We're passionate, experienced specialists who understand your industry. We have the network and the know-how to find you the perfect talent, fast. Don't settle for less. Contact MBN Solutions today and experience the difference of true expertise. Michael Young says it all: "We're genuine experts at what we do." Ready to see the benefits? Reach out! #hiring #data #experts #uk #talent #recruitment #mbn