SSW Group’s Post

DVA is not associated with this job opportunity. Senior Analyst, Strategic Analytics https://lnkd.in/gmn_7r6d Your Responsibilities: Tackle complex problems inherent to a double-sided marketplace. Deliver insights that drive changes in company strategy using SQL, Python, R and/or other scripting and statistical tools. Build frameworks for understanding how our marketplace works and educate company leaders on how we can enhance business performance. Define the metrics teams use to evaluate their success, perform analysis to understand the impact on growth, and track progress toward those results. Present insights and recommendations in key meetings and business reviews with company leadership. Become the authority on business health for our core Marketplace business unit, applying data science techniques and analytical skill to unearth deep insights on strategic challenges and opportunities... #career #job #jobs #jobsearch #education #business #success #hiring #careergoals #work #motivation #recruitment #love #employment #careers #careerdevelopment #resume #college #goals #job #training #careeradvice #interview #nowhiring #careercoach #entrepreneur #leadership #jobseekers #virtualassistant

Interviewing for jobs as a #DataAnalyst? We've got you. First, thoroughly research the company to make sure you're excited by their vision and the products and services they offer. Then, practice a mock interview. You can expect questions on data science, machine learning, and programming concepts. Here are some common technical data analyst questions you can expect ➡️ #dataanalytics #dataanalysis #interviewprep #techjobs

Common mistake every candidate makes while searching for a job. Many candidates make a common mistake by not applying to enough jobs. It's a game of probability. For instance, if you apply to 100 jobs, you might receive 4 calls. You never know if those calls will come from the first 10 applications or the last 10. The key is to keep updating and applying. Follow Arshad Aafaq.D for more insights. #JobSearch #CareerAdvice #OpportunityAwaits #StayPersistent #datascientist #dataanalyst #hiring #Job

🔥 𝐓𝐢𝐩𝐬 𝐟𝐨𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. Career development refers to the process of managing and planning one's professional growth and progression over the course of their working life. It involves identifying and pursuing career goals, acquiring new skills and knowledge, and making strategic decisions to enhance one's career prospects and job satisfaction. 📌 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 𝐬𝐭𝐚𝐫𝐭𝐬 𝐨𝐧 𝐀𝐮𝐠𝐮𝐬𝐭 𝟏𝟐, 𝟐𝟎𝟐𝟑! Don't miss this opportunity to jumpstart your career as a Data Analyst. For more details and to secure your spot, visit our website at http://digyquant.com/ or contact us at +91-6381057440. 👉👉Keep yourself informed by following DigyQuant Analytics . 👉👉Keep yourself informed by following DigyQuant Analytics . #job #career #development #connections #share #ai #aidesign #communication #jobsearch #content #resume #resumewriting #softwaredevelopment #software

Want the inside edge on the newest opportunities in the #remote workforce? Looking to ACE your interview? #connect #follow and hit that 🔔 to make sure you catch every fresh #jobposting as they drop. You’ll also find a quick summary and tips to get prepared for the interview! So let’s get into it…this opportunity is for: Data Scientist – Fraud https://ift.tt/Maxv8Wn Radial, a leader in ecommerce technologies, is looking for a Data Scientist to optimize fraud risk technology and enhance fraud risk decision-making. The role involves using machine learning models and data analytics to identify fraud trends, optimize processes, and improve decision accuracy. Strong programming skills, knowledge of machine learning, and at least 6 years of data science experience are required. This remote position requires no travel. Radial provides equal employment opportunities and accommodations for individuals with disabilities. For more information on applying, contact hroperations@radial.com. Now for the fun: Most likely interview question: Can you describe your experience with fraud risk technology and how you have used data science to optimize fraud review decisions? High-level tip on how to best answer it: Provide specific examples of your experience working with fraud risk technology, including the tools and algorithms you have used. Discuss how you have applied data science techniques to identify fraud trends, segment data, and find optimization opportunities. Highlight any successes or achievements in improving the speed and accuracy of fraud review decisions. *Please note these jobs are presented, offered, and hiring courtesy of their respective POE’s. #remotefirst #nowhiring #nuagi #hiring #newjobs #interviewprep ———-———-———-———-———-———-———-———-———-———- I’m Jamal Brooks, a #careercoach and #resource for the career journey. I help remove barriers so YOU get more wins! If you want to perfect your interviewing skills, click the link to book a complimentary consultation. If we are a mutual fit we can establish an engagement agreement at a competitive rate. Let’s get to work and get you hired!

𝐄𝐯𝐞𝐫 𝐜𝐚𝐬𝐭 𝐚 𝐰𝐢𝐝𝐞 𝐧𝐞𝐭 𝐟𝐨𝐫 𝐚 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐟𝐢𝐬𝐡 𝐚𝐧𝐝 𝐜𝐚𝐮𝐠𝐡𝐭 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 𝐛𝐮𝐭? A while back, our team posted a job for a "data analyst." The vagueness of the title brought in a flood of applications - from fresh graduates to seasoned data scientists. It was akin to casting a wide net hoping to catch a specific fish. The lesson was clear: precision in communication is not just beneficial; it's essential.     Our Turning Point:   1. 𝑫𝒆𝒕𝒂𝒊𝒍 𝒕𝒉𝒆 𝑺𝒌𝒊𝒍𝒍𝒔: We began specifying the technologies and methodologies candidates needed experience with. From "data analyst" to "data analyst with Python expertise." 2. 𝑪𝒍𝒂𝒓𝒊𝒇𝒚 𝒕𝒉𝒆 𝑰𝒎𝒑𝒂𝒄𝒕: We detailed how the role contributes to our projects and goals. For instance, instead of saying "responsible for data analysis," we said, "Your insights will directly influence market strategies, impacting our product's success in real-time." 3. 𝑯𝒊𝒈𝒉𝒍𝒊𝒈𝒉𝒕 𝑪𝒖𝒍𝒕𝒖𝒓𝒆: We painted a picture of our company culture and growth opportunities within the role. Show how they'll grow with us, not just work for us.   The shift was amazing. Applications became more targeted, interviews more strategic, hires more aligned.   Fellow members, have you experienced a similar revelation? How has refining your job descriptions changed your talent hunt?   #RecruitmentClarity #TalentAcquisition #JobDescriptions #hr

hey Connections 👋 . . . . It's a beautiful Sunday with this amazing podcast, gained very great insights from Ankur Debnath sir, He is Senior Data Scientist at S&P Global and Ex-Mastercard Insights 🌐 Myths on Al ❌️ Al will take our jobs ❌️Overpower Humans ✅️ Fact - It's there to Assist us. 🌐 Al system can detect Type of. transaction, location, and time. 👩💻 What is Data Science? 🎗 Any technology uses the data is called. Data Science. 👩💻 AI/ML are the key technologies used in Data Science to interpret high-level data not visible to humans. 🌐 Different Data Science Domain Roles 1. Data Analyst - It's an entry level job, the role for this job is to preprocess the data. 2. Data Scientist - Data Scientist will develop the core backend part of a model and takes the data from Data Analyst. 3. Data Engineers - Manages the work flow of Data Scientist. 4. ML Operations - This role is responsible for developing and deployment of a model. 5. Human in the loop - It's a very underrated role, but total model will depends on this role the feedback will provided for a Model which was used for further developments. 🤔 What makes a Good Data Scientist? ✅️Strong Math Probability and Statistical skills. ✅️ Python Programming language ✅️ Good Analytical Skills. 🤔 How we Become an Al Job Ready? 🗣Right Skill sets 🖥 Internships 👩💻 Hands-on Projects 🏅 Competitions 🎗 Building youself 🌐 Applications of Al 🎟 Credit Card Fraud Detection 🏥 Health Care Industry 🏣Financial Institutions and many more... Thankyou NxtWave and Avinash Dara sir for showing up a roadmap to our careers . My huge respect towards you Avinash sir.🙇♀️ #ccbp #nxtwave #podcast #Al #ds

According to the World Economic Forum, there are several jobs that are expected to be most in demand in the next five years, as a result of rapid technology and environmental changes, including: 👩💻 Business intelligence analysts 👩💻 Information security analysts 👩💻 Data analysts and scientists These are all job roles that we’ve got experience in, so if you’re looking to either move into or advance your career in one of these fast-growing sectors, we can help! Reach out to Binay to chat about the direction you want your career to go at binay@riva-recruitment.com #hiring #bi #businessintellignce #dataanalysts #informationsecurity

If it sounds too good to be true, it probably is. Unfortunately, this is true in #jobhunting , too. What surprised me, though, was how low the "too good" threshold can be. It can take a lot of scrolling to find a matching job post. Then, sandwiched between all the "junior position" posts that require you to be simultaneously a data analyst, engineer, scientist, AND, somehow, a project manager, you find it - an entry-level position with realistic expectations. Finally! "Basic SQL and visualisation skills required, python or R is a plus" Great! "Comes with a few weeks of training to get you up to speed." Even better! You start going through the application process. After all the basics comes the point where any good applicant should look into the company and tailor their application accordingly, so that's what you do. And here's where it starts to smell fishy. The company's name doesn't really bring up anything other than its own webpage and glassdoor page, with mixed reviews. There are also two posts on reddit, from people that were in the same position as you are now, asking about the experience with the company. The comments paint a bleak picture. Some claim that the ad is a blatant lie to get you to sign up for a training course, and while they try to connect you to an employer, the job is never guaranteed. Additionally, you must commit to the course full time (i.e. cannot work), and are even encouraged to sing up for government support to do it. In other words, it's not a job post, it's a scam. And to top it all off, the remaining seemingly positive comments raving about the integrity of the company happen to come from new accounts that have been created purely for that one post, with no other engagement on the platform. Not suspicious at all. Having wasted hours, you cut your losses and call it a day. Let's try again tomorrow. Strength to all going through this! #datajobs #datajourney #scams