We're #hiring a new Statistical Analysis & Data Visualization Director in Texas. Apply today or share this post with your network.
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Good Afternoon LinkedIn 👨🏽💻 We have recently released our latest💡Market Insight Report with detailed information and salary guides for todays market. Any hiring managers, talent professionals or candidates in my network who are interested in a copy please get in touch 👍🏽. Information on the following markets below will be in this report: 1)Data Engineering & Data Architecture 2)Data Science & Machine Learning 3)Data Analytics & Business Intelligence
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✅Excel in the data domain? Explore exciting career opportunities tailored for your expertise! 🌟 ✅Whether you're a data analyst, data scientist, or a data engineer, proficiency in Excel is a valuable asset that opens doors to a multitude of roles in the data-driven world. ✅Unlock a world of possibilities and advance your career in the data domain with Excel expertise. ✅Your journey to success starts here: https://bit.ly/3mzPrpd #Excel #DataAnalysis #BusinessIntelligence #CareerOpportunities #DataDriven #Analytics #DataTrained #datascience #ExcelSkills #DataAnalytics #CareerGrowth #DataDrivenDecisionMaking #ExcelMastery
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Meet the Financial Planning and Analysis Team! 👏 Hear from Gene Fogh, the Central Team Leader, about how this team gets to support the mission of Life.Church: "We have a world-class data team which our leaders leverage to lean forward and make informed decisions. Our data analysts leverage tools ranging from Tableau and data visualizations to mathematical programming and machine learning models to enable decision-makers around church." Have you ever wondered if you can use your data skill-set in ministry? The answer is: you can! We are hiring for a Data Analyst to support this mission. Is God calling you to ministry? Check out the link below to learn more. ⬇ https://lnkd.in/gGC6k-NB Gene Fogh, Jamison Shaffer, Shawn LaFever
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Are you feeling a lack of creativity in your data engineering job? Do you feel like you don't have a say in the projects you work on, or how you tackle certain problems? Or maybe you are a data analyst who is fed up with low-quality data and wants to be on the frontlines ensuring bad quality data doesn't make it into production. If any of this sounds like you, have you considered analytics engineering? After 3 years of working as a data engineer, I realized I needed more interaction with the business and greater autonomy in how I was solving problems. Unfortunately, I couldn't get what I wanted from data engineering, so I switched to analytics engineering. Now I feel like I am directly involved in every business AND engineering decision, I have the power to solve data quality issues as I see fit, and I have the freedom to improve the data stack we are building. If analytics engineering sounds interesting to you, come check out my (free) talk where I walk you through how to transition to analytics engineering tomorrow at MDS Fest at 10am PST. #dataengineering #dataanalytics
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Are you ready to take your data teams to the next level with predictive analytics? 🧗 Dive into this comprehensive, hands-on guide that takes you through the process of adopting predictive analytics in your business, including: - The pros and cons of hiring data scientists - How to evaluate your data and determine if it's ready for predictive analytics - Essential questions to ask internal stakeholders and vendors to ensure alignment Check it out here: https://lnkd.in/gMHr_scG
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Excited to share my simple research about various data-related job roles! In this deck, I delve into the key responsibilities, required skills, and unique contributions of positions such as Data Analyst, Data Scientist, Data Engineer, Machine Learning Engineer, Business Intelligence (BI) Analyst, and Data Architect. Whether you're exploring career options in the data field or seeking to understand the nuances between these roles, this presentation offers valuable insights.
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There are so many ways you can build a career in data. If you're trying to get started, one of the first things you want to do is understand the different paths that could be available to you... Do you see yourself as a Data Analyst? Maybe a Data Scientist? How about a Data Engineer or a Database Administrator? It's also possible you may want to specialize in Data Visualization. With so many options, it might feel overwhelming to some. But it doesn't have to be. The key is to understand the different flavors of data people that are out there, and then think about which variety sounds most attractive based on your interests and abilities. For more on how these paths differ, the types of problems they solve and tools they leverage, you'll want to check out this posts from Chris: FINDING YOUR PATH https://bit.ly/3lsS1LJ #data #careers #businessintelligence #analytics #datascience
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So what exactly does a data scientist do? Ben gives an excellent summary in comparison to a data analyst in our most recent video: https://lnkd.in/gHSdGqpn For a more in-depth description of the data scientist's role in business, including areas of focus and things to consider when hiring, check out this post on our blog: https://lnkd.in/g2Tui2bN
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Hey, Data Analysts! Do you know the difference between data roles? I've got you! Here are the data pros I recommend you follow to learn more about each position: ➡️ Data Analyst - Chris French, Kelly Adams, Thais Cooke ➡️ Data Scientist - Michael Green, 🔥 Matt Dancho 🔥, Andrew Jones ➡️ Data Engineer - Benjamin Rogojan, Joe Reis 🤓, Andreas Welsch ➡️ Analytics Engineer - Madison Schott, Mark Chappell, Christian ➡️ ML Engineer - Chip Huyen, Andriy Burkov, Andy McMahon ➡️ Decision Scientist - Nisar Ahmed, Cassie Kozyrkov, Joe Dery Which position interests you the most? #dataanalytics #datascience #dataengineering
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#HealthTech It always helps to demystify complicated topics like AI, LLMs, RAG, and machine learning by starting with the basics. Thank you to these highly talented, highly skilled individuals who are critical to the future of our healthcare.
Hey, Data Analysts! Do you know the difference between data roles? I've got you! Here are the data pros I recommend you follow to learn more about each position: ➡️ Data Analyst - Chris French, Kelly Adams, Thais Cooke ➡️ Data Scientist - Michael Green, 🔥 Matt Dancho 🔥, Andrew Jones ➡️ Data Engineer - Benjamin Rogojan, Joe Reis 🤓, Andreas Welsch ➡️ Analytics Engineer - Madison Schott, Mark Chappell, Christian ➡️ ML Engineer - Chip Huyen, Andriy Burkov, Andy McMahon ➡️ Decision Scientist - Nisar Ahmed, Cassie Kozyrkov, Joe Dery Which position interests you the most? #dataanalytics #datascience #dataengineering
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