National Center for Healthcare Leadership (NCHL)’s Post

🔍 New York's hiring landscape is evolving! 🌆 In the realm of Business Intelligence (BI) and Market Research, we're seeing a surge in demand for talent that can bridge the gap between data and strategy. Companies are on the hunt for professionals who not only understand complex datasets but can also extract actionable insights to drive business growth. 📈 Here's what's trending: - **Data Visualization Skills**: Candidates who can transform data into compelling visual stories are in high demand. Tools like Tableau and Power BI are no longer nice-to-have but essential. - **Market Research Analysts**: With a finger on the pulse of market trends, these professionals are invaluable for shaping product development and marketing strategies. - **BI Developers**: Skilled in designing and implementing effective BI solutions, these tech-savvy individuals are key to unlocking the potential of data. - **AI and Machine Learning**: As AI continues to revolutionize industries, there's a growing need for talent that can harness these technologies for predictive analytics. - **Soft Skills**: Communication and problem-solving abilities are critical. The ability to convey complex information clearly is what sets top candidates apart. At Aspire, we're not just about filling positions; we're about forging connections that empower both businesses and careers. Whether you're a company seeking top-tier talent or a professional ready for your next challenge, we're here to facilitate that perfect match. 🌟 Why Aspire? 🌟 - We've built robust relationships with premier clients over 30+ years. - We take the time to meet all our candidates, ensuring the right fit for everyone. - Our support extends beyond the job placement - we're your career partners. Let's create success stories together. Reach out, explore opportunities, or simply have a chat about the market. 📊 Dive into your next career adventure with Aspire! #BusinessIntelligence #MarketResearch #HiringTrends 👉 Find out more at us.weareaspire.com

Ever wonder what you would be paid in another industry? Towards the end of 2023, Burtch Works conducted over 400 informational interviews with Data Scientists. All were midlevel, with 4-8 yrs of experience, and nonmanagers. Here are our findings:   Mean Data Scientist Base Salary: 1. Tech: $143,700 2. Financial Services: $135,000 3. Consulting: $128,500 4. Retail & CPG: $121,600 5. Healthcare/Pharma: $116,600 6. Advertising/Marketing: $110,000 We interviewed a similar pool of Data Engineers with the same level of experience. Data Engineers reflected much less salary variation across industries when compared to Data Scientists.   Mean Data Engineer Base Salary: 1. Tech: $136,942 2. Consulting: $133,052 3. Retail & CPG: $131,000 4. Healthcare/Pharma: $130,864 5. Financial Services: $129,923 6. Advertising/Marketing: $120,000 The tech industry reflects the highest salaries for both DS and DE, while Advertising/Marketing offers the lowest. Notably, Financial Services ranked second for DS, but drops to fifth for DE. #datascience #dataengineering #tech #consulting #finance #healthcare

🚀 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝘄𝗶𝘁𝗵 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🚀 🔹 𝗥𝗼𝗹𝗲: Data Analyst 🔹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 6+ years in a data analyst or relevant role 🔹 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Remote 𝙆𝙚𝙮 𝙍𝙚𝙦𝙪𝙞𝙧𝙚𝙢𝙚𝙣𝙩𝙨: Clinical Experience: 𝗠𝘂𝘀𝘁 𝗵𝗮𝘃𝗲 𝗦𝗤𝗟 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Strong capabilities in SQL and the ability to build lineage and relationship diagrams concerning source objects. 𝗘𝘅𝗰𝗲𝗹 & 𝗕𝗜 𝗧𝗼𝗼𝗹𝘀: Expert in Microsoft Excel and various business intelligence and analytical tools. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Experience identifying useful information within data sets and defining use cases that support decision-making. 𝗗𝗮𝘁𝗮 𝗤𝘂𝗲𝗿𝘆𝗶𝗻𝗴: Proficient in data querying and data relationship concepts, able to execute SQL-like queries. 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Strong analytical skills to interpret complex data. 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Experience with data gathering, profiling, inspecting, cleansing, transforming, and modeling/diagramming techniques. Attention to Detail: Keen attention to detail to ensure data accuracy. Problem-Solving: Willingness to make decisions and solve problems. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Ability to distill complex subjects for a wider audience. What We Offer: 𝗚𝗿𝗼𝘄𝘁𝗵 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀: Be part of a dynamic team with opportunities for career advancement. 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Work with cutting-edge tools and technologies. 𝗜𝗺𝗽𝗮𝗰𝘁: Play a key role in supporting decision-making through data insights. Share resume at harsha@code1.dev #DataAnalyst #SQL #ClinicalExperience #DataAnalysis #BusinessIntelligence #Excel #JobOpening #DataManagement #ProblemSolving #CareerGrowth

Have you ever felt like your revenue forecast is always: ❌ Late ❌ Missed ❌ Inaccurate ❌ Looking in the rearview window instead of ahead Great news! There’s a new, cost-effective, and easy-to-implement way to turn it into: ✅ Real-time ✅ On-target ✅ Action-oriented ✅ Forward-looking 👉 Comment DATA for a free consultation call! I'll look into your needs and provide a roadmap for a predictive and prescriptive forecast your executive team can trust. Skip the hassle of: - Hiring 3 new data scientists - Waiting weeks to get the insights you needed yesterday from your data team - Reworking your data structure - Lengthy spreadsheets because your CRM can't handle the job - Complex and expensive software - Risking your career (again!) Ready to elevate your business? Comment DATA and transform your revenue forecast! 🚀

🚀 𝗪𝗲'𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝘄𝗶𝘁𝗵 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 🚀 🔹 𝗥𝗼𝗹𝗲: Data Analyst 🔹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 6+ years in a data analyst or relevant role 🔹 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Remote 𝙆𝙚𝙮 𝙍𝙚𝙦𝙪𝙞𝙧𝙚𝙢𝙚𝙣𝙩𝙨: Clinical Experience: 𝗠𝘂𝘀𝘁 𝗵𝗮𝘃𝗲 𝗦𝗤𝗟 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Strong capabilities in SQL and the ability to build lineage and relationship diagrams concerning source objects. 𝗘𝘅𝗰𝗲𝗹 & 𝗕𝗜 𝗧𝗼𝗼𝗹𝘀: Expert in Microsoft Excel and various business intelligence and analytical tools. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Experience identifying useful information within data sets and defining use cases that support decision-making. 𝗗𝗮𝘁𝗮 𝗤𝘂𝗲𝗿𝘆𝗶𝗻𝗴: Proficient in data querying and data relationship concepts, able to execute SQL-like queries. 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Strong analytical skills to interpret complex data. 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Experience with data gathering, profiling, inspecting, cleansing, transforming, and modeling/diagramming techniques. Attention to Detail: Keen attention to detail to ensure data accuracy. Problem-Solving: Willingness to make decisions and solve problems. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Ability to distill complex subjects for a wider audience. What We Offer: 𝗚𝗿𝗼𝘄𝘁𝗵 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀: Be part of a dynamic team with opportunities for career advancement. 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Work with cutting-edge tools and technologies. 𝗜𝗺𝗽𝗮𝗰𝘁: Play a key role in supporting decision-making through data insights. 𝗗𝗠 𝗼𝗿 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 #DataAnalyst #SQL #ClinicalExperience #DataAnalysis #BusinessIntelligence #Excel #JobOpening #DataManagement #ProblemSolving #CareerGrowth

Hi Guys, Hope all are doing well. Let's talk about a Day in the Life of a Data Analyst: Unraveling Insights As a data analyst, each day is a puzzle waiting to be solved. Here’s a glimpse into what a typical day looks like and how we uncover valuable insights that drive decision-making. 🔍Morning: Dive into Data Discovery The day often starts with diving into datasets, exploring trends, and identifying patterns. For instance, imagine analyzing sales data for a retail company. We sift through vast amounts of transactional data to spot emerging consumer preferences or seasonal trends. This morning ritual sets the stage for the day's discoveries. 💡Afternoon: Transforming Data into Insights With data in hand, we embark on the journey of transforming raw numbers into actionable insights. Using tools like Python, SQL, or Tableau, we craft visualizations that tell compelling stories. For instance, visualizing customer demographics might reveal untapped market segments or highlight areas for product improvement. 📈 Evening: Communicating Findings As the day winds down, it's time to distill findings into clear, concise reports or presentations. Whether it’s sharing quarterly performance metrics with stakeholders or presenting A/B test results to the marketing team, effective communication is key. By translating complex data into understandable insights, we empower decision-makers to take informed action. 🌟Real-Time Example: Optimizing Ad Campaigns Let's say we're tasked with optimizing an online ad campaign. By analyzing click-through rates, conversion data, and demographic information, we uncover valuable insights. Perhaps we discover that a specific demographic responds better to video ads than static images. Armed with this insight, we tweak the campaign strategy, leading to higher engagement and ROI. In essence, being a data analyst is about more than just crunching numbers. It's about unraveling the stories hidden within data and empowering organizations to make smarter decisions. Every day presents new challenges and opportunities to make a meaningful impact. #DataAnalytics #Insights #DecisionMaking Feel free to customize and share! #opentowork #w2 #fulltime #DataAnalyst #Python #SQL #PowerBI #USA

Ravy Data talent pool is no joke As the top Data recruitment specialist, I always serve the cream but the company should acknowledge what the cream is? We all deserve the best workplace, environment recognition and rewards to value what we have done. #data #hiring #datascientist #datamanagement #executivesearch #dataanalytics #technology #data #hiring #recruitment #datascience #datascientist #dataengineer #headhunter #databricks #businessintelligence #businessdevelopment #success #bigdata #ai #softwaredevelopment #hrbp #talentacquisition #machinelearning #softwaredevelopment #softwaredeveloper #microsoft #softwareengineer

🚀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲: 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 🚀 I'm thrilled to share my latest project where I applied advanced SQL techniques to clean and enhance a real-estate dataset. 🔍 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄: In this project, I tackled several data quality issues to transform raw data into a reliable asset for analysis. Here are some key steps I performed: 1. 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝗗𝗮𝘁𝗲 𝗙𝗼𝗿𝗺𝗮𝘁𝘀: Converted inconsistent date formats to a standardized date field. 2. 𝗣𝗼𝗽𝘂𝗹𝗮𝘁𝗲𝗱 𝗠𝗶𝘀𝘀𝗶𝗻𝗴 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗔𝗱𝗱𝗿𝗲𝘀𝘀𝗲𝘀: Used self-joins to fill in missing property addresses, ensuring data completeness. 3. 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗲𝗱 𝗔𝗱𝗱𝗿𝗲𝘀𝘀 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀: Split property and owner addresses into individual columns for better granularity and usability. 4. 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘇𝗲𝗱 𝗕𝗼𝗼𝗹𝗲𝗮𝗻 𝗙𝗶𝗲𝗹𝗱𝘀: Changed 'Y' and 'N' values to 'Yes' and 'No' in the "Sold as Vacant" field for clarity. 5. 𝗥𝗲𝗺𝗼𝘃𝗲𝗱 𝗗𝘂𝗽𝗹𝗶𝗰𝗮𝘁𝗲𝘀: Implemented a CTE (Common Table Expression) with ROW_NUMBER() to identify and remove duplicate records based on key fields. 💡 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Data cleaning is a critical step in any data analysis project. Clean data ensures accurate analysis, leading to better decision-making. Through this project, I've honed my SQL skills, particularly in data transformation, standardization, and deduplication. 🔧 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝗨𝘀𝗲𝗱: •SQL SELECT, UPDATE, and ALTER statements. •String functions for text manipulation. •Self-joins and CTEs for advanced data handling. •CASE statements for conditional updates. •ROW_NUMBER() for effective duplicate identification. 📈 𝗜𝗺𝗽𝗮𝗰𝘁: The cleaned dataset is now ready for deeper analysis, which can drive valuable insights into the real estate market trends in Nashville. I'm excited to bring these skills to my next role and contribute to data-driven decision-making processes. If you're looking for a passionate and skilled data analyst, let's connect! 🤝 #DataAnalytics #SQL #DataCleaning #DataQuality #RealEstateData #DataTransformation #DataScience #ProjectShowcase #opentowork #jobsearch #hireme #jobhunt #jobseeker #hiring #recruitment #jobsearching

🚀 Current Landscape of Data Analyst Roles in 2024 🚀 The demand for skilled Data Analysts continues to soar in 2024 as organizations increasingly recognize the value of data-driven decision-making. 🌐 Here are some key trends and insights into the Data Analyst job market: 📈 High Demand for Expertise: Companies across industries are seeking Data Analysts to turn raw data into actionable insights. With the rapid digital transformation, expertise in tools like SQL, Python, R, and Power BI is highly coveted. 🔍 Focus on Advanced Analytics: Beyond basic reporting, there's a growing emphasis on advanced analytics, predictive modeling, and machine learning. Data Analysts who can navigate complex data sets and provide predictive insights are particularly in demand. 🌟 Remote Opportunities: The shift towards remote work has opened up a plethora of opportunities. Companies are more open than ever to hiring remote Data Analysts, broadening the talent pool and providing more flexibility. 📊 Industry-Specific Roles: From finance and healthcare to e-commerce and technology, Data Analysts are needed in virtually every sector. Specialized knowledge in an industry can give candidates a competitive edge. 📚 Continuous Learning: Staying updated with the latest tools and technologies is crucial. Certifications in data analytics, machine learning, and specific tools (like Power BI, Tableau) can enhance job prospects. 💡 Networking and Visibility: Building a strong professional network and maintaining an active presence on platforms like LinkedIn can significantly boost your job search. Engaging with industry content, sharing insights, and connecting with professionals can open doors to new opportunities. 🔗 Let's Connect! If you're passionate about data analytics or looking for top talent in this field, let's connect and explore opportunities. Whether you're a recruiter or a company in need of data-driven insights, I'm excited to discuss how we can collaborate to drive success through data. 📊🔍 #DataAnalytics #DataAnalyst #CareerGrowth #JobMarket #DataScience #MachineLearning #RemoteWork #DataDriven #LinkedInNetwork

Hi Connections , I am happy to share that I analyzed a fascinating dataset from an American customer support agency, which encompassed the operations of four call centers. Here are some of the key findings and recommendations: ✅ #kpi : . Total Calls: 32.94K . Total Call Duration (hours): 13.74K hours . Total Call Duration (minutes): 834.22K minutes . Average Call Duration: 25.02 minutes . Response Time: 75.26% . Analysis and Insights ✅Total Calls by Day: Thursdays and Fridays were the busiest days, with the highest call volumes. ✅Total Calls by Reason: Billing-related inquiries dominated, reflecting a common concern among customers. ✅Total Calls by Channel: Interestingly, the call center received the most calls, followed closely by chatbot interactions. Email and web inquiries also made a significant impact. ✅Total Calls by Sentiment: Negative sentiment calls were the most prevalent at 11.1K, emphasizing the need for effective issue resolution. ✅Total Calls by Call Center: The Los Angeles center took the lead with 14K calls, followed by Baltimore with 11K, Chicago with 5K, and Denver with 3K calls. ✅Total Calls by State: To visualize the data, I created a map chart showcasing the call distribution by state. It provides valuable geographic insights. 💡#Recommendations : To enhance customer experience and mitigate negative sentiment, the call center agency can consider the following steps: 🔹Implement proactive issue resolution techniques. 🔹Enhance training for customer service representatives to handle difficult inquiries effectively. 🔹Implement sentiment analysis tools to identify issues in real-time and address them promptly. 🔹Encourage customer #feedback and utilize it to improve services. These findings can help shape strategies to enhance customer support services, improve response times, and optimize resource allocation. Please #like and #share this #linkedinpost , and leave a #comment below with your thoughts on how this analysis can be improved. Follow me for more interesting dashboards and hashtag#reports . Thank You! Hashtags: #dataanalysis #analytics #Insights #businessintelligence #datavisualization #sql #excelskills #job #hiringmanager #DataTrends #mavenanalytics #DataInsights #DataAnalytics #DataScience #PowerBI hashtag #Dashboard #ai #hrmanager #hr #businessanalysis #powerbideveloper #powerbidesktop #powerbidashboard #freshersjobs