🔔 #nowhiring - Qlik Analytics Consultant (m/f/d) | #Lisbon (Hybrid) Want to furthermore your career with global projects? We are looking for you to create data visualizations and dashboards (Qlik). 🌐 Apply here: https://zurl.co/3LwM #analytics #qlik #itconsulting
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#Immediatehiring for Tableau Skills: Domo SQI exp Location: Remote Experience: 6 years if anybody is interested, please share your resume to durgabhavani@talentbrainz.com or WhatsApp to 8977548397 #immediatehiring #remotejobs #itjobs #tableaujobs #domoexperience #immediatejoinings #wfhjobs #jobs #DataVisualization #Tableau #Domo #Analytics #BI #DataAnalysis #DataAnalytics #BigData #DataReporting #DataManagement #DataDiscovery #DataIntegration
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Hello, LinkedIn! #MustHaveMonday With over 15 years of experience in IT, this standout candidate is a powerhouse in business intelligence and #dataanalytics. His expertise spans across healthcare, pharmaceuticals, insurance, and financial sectors, making them a versatile asset for any data-driven organization. Key Highlights: - Increased team productivity by 30% through standardized dashboard templates - Reduced legacy workflow execution times by 50% - Developed and executed company-wide BI training programs - Implemented data cleanup processes, significantly improving data integrity This professional excels in leveraging cutting-edge #BI tools like #Tableau, Power BI, and Alteryx to create dynamic, impactful dashboards that drive decision-making. Their keen eye for effective visualization, coupled with a deep understanding of data warehouse methodologies, consistently delivers solutions that translate complex data into clear, actionable strategies. Throughout their career, they demonstrated versatility by taking on roles ranging from hands-on analyst to project manager and technical leader. He has successfully led teams in implementing BI solutions, optimizing data processes, and bridging the gap between technical capabilities and business needs. Technical Proficiencies: - BI Tools: Tableau, #PowerBI, Alteryx, #Python, QlikView, Business Objects Databases: Oracle, Hadoop Hive, Amazon Redshift, Teradata, SQL Server, Netezza - Data Technologies: Data modeling, extraction, and analysis - Project Management: Agile methodologies, JIRA, documentation What sets this Must Have Monday apart is their ability to turn raw data into compelling stories that inform business strategy. They excels at diving into new datasets, uncovering hidden patterns, and presenting findings in ways that resonate with both technical and non-technical stakeholders. As organizations increasingly recognize the value of data-driven decision making, they stands ready to help harness the power of #data. Whether it's designing intuitive dashboards, implementing robust BI solutions, or leading data analytics initiatives, he has proven track record of driving impactful results. All in all, Sandeep represents a unique opportunity for any organization looking to elevate their data analytics capabilities and drive business growth through informed, data-backed strategies. Ping me for further info. Let's go!
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Share me your resume -> gangadhar@learnbeyondconsulting.com Title: Senior Tableau Developer Duration: 1 year Location: Hybrid (2 days from Wilmington, DE office) Need local to DE. Experience: 8+ years Job Description: - > Minimum five plus years of experience with BI tools like Business Intelligence Technologies – Tableau. > Experience of working in a financial organization or awareness of financial concepts. >Demonstrate excellent communication skills and stakeholder management skills. >Deriving data insights and maintain them in dynamic Tableau dashboards, presentations and reports demonstrating multiple dimensions. > Working with users, business stakeholders, product owners /technology teams to deeply understand customer needs and develop dashboards and reports independently. > Working with large data sets and incomplete information as required. > Discovering new and innovative ways to source and present complex and new information in easily digestible ways. > Understanding data and pulling out the key insights and themes to inform decision making and presenting information to key stakeholders. > Utilizing design skills to produce and maintain clear, articulate & insightful reporting, to best deliver analytic outputs & derived insights to internal and external stakeholders. >Driving improvements to ineffective or inefficient processes and sharing best practices. > Improving technical knowledge and analytical capabilities through personal development and training, staying up to date with latest technology and techniques while working to identify appropriate use cases to drive insight and share best practices. > Governing new change requests and effectively manage workloads across the development team. #SeniorTableauDeveloper #DE #Hybrid #W2 #Locals #BI #Tableau
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Data Analyst at Cyient | SQL | Power BI | Tableau | Microsoft Excel | Python | Statistics and Probability | Data Visualization | Data Visualization
#day6 of 100 days becoming a Data Analyst. Hello All, Today, we will discuss Data Modeling in Power BI. Data Modeling ->Data model is a collection of data tables and their relationships with each other. ->It is used to organize, analyze and present data in a meaningful way. ->The data model in Power BI provides the foundation for creating reports and visualizations Importance of Data Modeling -> Helps to create accurate reports : By creating relationships between different data sources, you can avoid data duplication and inconsistencies that can lead to incorrect or incomplete reports -> Enables effective data analysis: With proper data modeling, you can structure data in a way that makes it easy to analyze and extract insights -> Enables flexibility and scalability: A well-designed data model can be flexible and scalable, allowing you to easily add new data sources and modify existing ones as needed -> Saves time and money: Planning data models upfront ensures efficient resource allocation and minimizes costly rework Types of Data Modeling There are two types of data modeling Relational Modeling -> It is a traditional approach to data modeling. -> This type of data modeling involves designing a data model based on a set of related tables with defined relationships between them. -> In this model, data is represented in the form of two-dimensional tables consisting of columns and rows known as attributes and tuples. Dimensional Modeling -> Dimensional modeling in Power BI is a data modeling technique that focuses on organizing and structuring data in a way that supports efficient analysis and reporting. -> It involves creating dimension tables and fact tables, which are the two primary types of tables used in dimensional modeling. we will continue to learn more about data modeling in the next post. Until then #HappyLearning. #dataanalyst #job #data #dataanalysis #datavisualization #project #projects #businessintelligence #powerbijobs #businessanalytics #hiring #dataviz #dataanalytics #powerbi #data #immediatejoining #datavisualization #powerbideveloper #jobchange #jobhelp #jobfinder
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Knowing your way around the colourful dashboards is just the tip of the iceberg when it comes to landing a Tableau role. Having been on this journey myself, I've come to realize that there are other equally crucial skills that employers prioritize – ones I wish I knew about sooner. Big thank you to Jesse Finch Gnehm for his contribution to this blog! His expertise in hiring for Tableau roles added an extra layer of insight and affirmation to the content. #tableau #datavisualization #dataanalytics #careertips #techskills
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Immediate Joiner | Microsoft Certified Power BI Expert | Deputy Manager | Interview Panelist | Power BI Trainer | Mentor | Power BI Visual customization Expert
🔥 𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗪𝗲𝗲𝗸𝗹𝘆 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: 𝗖𝘂𝘀𝘁𝗼𝗺 𝗪𝗧𝗗 𝗟𝗼𝗴𝗶𝗰 𝗶𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 🔥 Time intelligence functions are crucial in Power BI, offering insights into year-to-date (YTD), quarter-to-date (QTD), and month-to-date (MTD) data. However, when it comes to more granular information, like week-to-date (WTD), DAX lacks a built-in function. - In this video, I tackle this gap by creating custom WTD logic, elevating the power of time-based analysis. By uniquely implementing this logic, I provide users with more meaningful and easily understandable insights. - - One key visualization I developed is a line chart comparing sales data between the current and previous weeks. This visualization offers a clear comparison, aiding in understanding weekly trends. Additionally, I leveraged bookmarks to create line charts for both MTD and YTD, further enhancing data comparison. I have used a constant line to bifurcate the current period and the last period for clear understanding. - To make comparisons even more intuitive, I introduced a feature allowing users to switch between single and double lines. This feature enables users to compare sales between current and previous periods simultaneously, providing deeper insights. - Utilizing subtitles to display day counts and sales for each period enhances the user experience, facilitating easier comparisons. Furthermore, by incorporating custom tooltips, users can access additional information for a comprehensive analysis. If you're interested in the DAX code used in this video, don't hesitate to reach out in the comments below. I hope you found the video insightful. Don't forget to 𝗟𝗜𝗞𝗘, 𝗦𝗛𝗔𝗥𝗘, 𝗮𝗻𝗱 𝗙𝗢𝗟𝗟𝗢𝗪 for more valuable content. Let's continue exploring the endless possibilities of Power BI together! #PowerBI #DataVisualization #WTD #Timeintelligence #Analytics #ReportMakeover #DataInsights #VisualAppeal #DataViz #pbicorevisuals #powerbiupdate #visualization #salestrends #FigmaTemplates #ContentCreation #DynamicReports #CommunityThanks #PWP #DAX #DAXDairy #DataAnalyst #DataAnalytics #Vega #BusinessIntelligence #Visualization #BI #PowerBIDeveloper #Deloitte #KPMG #EY #TCS #INFOSYS #Lumel #Developer #PowerBIwithPrasad #VisualCustomization #Creativity #LikeShareSubscribe
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Navigating the Data Job Market with Tableau When delving into the world of data careers, understanding trends and skills is paramount. Leveraging Tableau, I've devised a streamlined four-step process to navigate this landscape effectively: 1. Data Reliability Check Ensure the data is reliable by conducting thorough checks for accuracy and consistency. 2. Data Exploration Uncover hidden patterns, trends, and outliers using Tableau's interactive visualizations to gain deeper insights into the data job market. 3. Data Analysis Utilize Tableau's analytical capabilities to analyze the data, revealing common skills and trends within the data job market. 4. Dashboard Leverage insights gleaned from the data analysis to create dynamic dashboards that visualize key findings and trends in the data job market. #dashboard provide: --types of Tableau jobs available, from entry-level to senior roles. --what experience levels are most in demand for Tableau jobs. --Find out what Data Jobs Focused Tableau are getting paid across different experience levels and job positions. #Tableau #dashboard #dataanalytics
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good opportunity
We in HSBC are looking out for Qlik developers/SME 5-10+ years of rich experience. who are expert in Qlik technology along with strong knowledge of SQL, having Mashup & Nprinting skills and exposure in Qlik services. If you are passionate about BI and interested please let me know or drop me a note. I will share the details Mandatory - immediate joiner or max 30 days notice. Skill set - Qlik, Looker, GCP Location - #gurgaon #Chennai QlikView & Qlik Sense QlikView BI Solution BI (QlikView) hashtag #datavisualization hashtag #sql hashtag #qlik hashtag #qliksense hashtag #etldeveloper hashtag #qlikview hashtag #Qliksensedevelopers hashtag #oppurtunity hashtag #hiringnow hashtag #hibrid
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Building Skills in Data Science.Cyber security, Fintech .HR analytics in our changing world technology
#Dataanalytics #powerbi #kaggle #TCS #Infosys #students #powerbidevelopwer #GITHUB Nautika Co Dear Connects!! Happy Monday 💙 Blues and last time I shared with you all about Excel and this week on Power BI Regards, Technical Skills and Experience Power BI Basics: What are the different components of Power BI? Can you explain the difference between Power BI Desktop, Power BI Service, and Power BI Mobile? Data Modeling: How do you create relationships between tables in Power BI? Can you explain the concept of star schema and snowflake schema in data modeling? How do you handle many-to-many relationships in Power BI? DAX (Data Analysis Expressions): What is DAX and why is it important in Power BI? Can you provide examples of basic DAX functions you have used (e.g., CALCULATE, FILTER, SUMX)? How do you create a calculated column and a measure in Power BI? Power Query/M Language: How do you clean and transform data using Power Query? Can you explain the difference between M language and DAX? What are some common data transformation steps you have implemented? Visualization and Reporting: How do you decide which type of visualization to use for a specific data set? Can you explain how you create a drill-down report in Power BI? How do you implement custom visuals in Power BI? Performance Optimization: What strategies do you use to optimize Power BI reports and dashboards for performance? How do you handle large data sets in Power BI? Can you explain the concept of query folding and its importance? Problem-Solving and Analytical Skills Case Scenarios Can you describe a project where you used Power BI to solve a business problem? What was the outcome? How do you gather and incorporate user feedback into your Power BI reports? Soft Skills and Collaboration Communication and Collaboration: How do you work with stakeholders to gather requirements for a Power BI report? Can you describe a time when you had to explain a complex Power BI report to a non-technical audience? Continuous Learning and Improvement: How do you stay updated with the latest features and updates in Power BI? Can you provide an example of how you implemented a new Power BI feature in one of your projects? Scenario-Based Questions Technical Challenges: You are given a data set with missing values and inconsistencies. How would you handle cleaning this data in Power BI? You need to integrate Power BI with other Microsoft services (e.g., Azure, SQL Server). Can you explain the process and any potential challenges? Project Management: How do you manage version control and collaboration when working on Power BI reports with a team? Can you describe your experience with deploying Power BI reports to production? These questions should help you gauge the candidate’s proficiency with Power BI, their problem-solving abilities, and how well they can collaborate with others to deliver effective BI solutions.
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