Fresher Jobs’ Post

@Reliance is #hiring for BI developer. Experience: 1-2 years Skills: Tableau/Power BI, SQL Location: Mumbai Notice period: Immediate joiners are preferred Application link in comment section ! Comment "CFBR" instead Interested. If you assist others, someone will assist you. Disclaimer :- I want to clarify that I do not charge individuals for placement services, nor do I want them to get caught in any scams. My main goal is to support candidates throughout the application process. It's important to note that the job mentioned does not belong to me; it belongs to the owner. However, I have every right to assist candidates in applying various internships and jobs. #freshers #dataanalyst #hiring #fresher

Deloitte is hiring for Freshers Power BI Developer Experience: Fresher Location: Bengaluru Skills: Power BI, Power BI Service Deloitte is hiring for the role of Quality Assurance Analyst. Experince - 0 to 1 Year Location - Hyderabad Because there are a lot of applicants, we have uploaded the application link on our channel. Please join and apply so that the selected candidates can be shortlisted instead of being broadcast publicly. Job application Link check out here -https://lnkd.in/g94vvJ9F Comment "CFBR" instead Interested. If you assist others, someone will assist you, help yourself by helping others✌️ NOTE: -Most data aspirants not utilizing this services without actually opening them even once! please value our time and effort .The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it.Your support keeps us going strong. Thanks for trusting us with your career journey!" check out our more services in comment section! All the best. 😊

𝐃𝐚𝐲 22/31: 𝐓𝐨𝐩 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐅𝐫𝐞𝐬𝐡𝐞𝐫𝐬 !!!! Are you a Data Analyst fresher preparing for interviews at top companies like Myntra, Meesho, EY, and more? Here's a curated list of Power BI interview questions frequently asked to freshers. Prepare yourself and boost your skills to ace that interview! 🔹 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐁𝐚𝐬𝐢𝐜𝐬 1️⃣ What are the main features of Power BI? 2️⃣ What’s the difference between Power BI Desktop and Power BI Service? 3️⃣ Explain the process of creating a dashboard in Power BI. 4️⃣ What are the different types of data connections in Power BI? 5️⃣ How do you handle missing data or errors in Power BI? 🔹 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 6️⃣ What is a star schema, and why is it used in Power BI? 7️⃣ Explain relationships in Power BI. What are the types? 8️⃣ How would you handle many-to-many relationships in Power BI? 9️⃣ What’s the difference between a fact table and a dimension table? 1️⃣0️⃣ How do you use calculated columns and measures in data modelling? 🔹 𝐃𝐀𝐗 (𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬) 1️⃣1️⃣ What is DAX, and why is it important in Power BI? 1️⃣2️⃣ Explain the difference between SUM and SUMX with examples. 1️⃣3️⃣ How does the CALCULATE function work? 1️⃣4️⃣ What are some DAX functions you have used frequently? 1️⃣5️⃣ How do you filter data using DAX expressions? 🔹 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 1️⃣6️⃣ What types of charts have you used in Power BI, and how do you choose the right chart? 1️⃣7️⃣ How do you implement conditional formatting in Power BI? 1️⃣8️⃣ What are slicers in Power BI? 1️⃣9️⃣ How do you enable drill-through and drill-down features? 2️⃣0️⃣ What are bookmarks, and how do you use them in Power BI? 🔹 𝐑𝐨𝐰-𝐋𝐞𝐯𝐞𝐥 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 (𝐑𝐋𝐒) 2️⃣1️⃣ What is Row-Level Security (RLS)? How do you implement it in Power BI? 2️⃣2️⃣ How can you assign user-specific permissions in Power BI? 🔹 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 2️⃣3️⃣ How do you optimize the performance of Power BI reports? 2️⃣4️⃣ What’s the difference between Import Mode and DirectQuery? 2️⃣5️⃣ How do you handle large datasets in Power BI? 🔹 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨𝐬 2️⃣6️⃣ How do you integrate Power BI with SQL or other databases? 2️⃣7️⃣ Can you describe a project where you used Power BI for data analysis? 2️⃣8️⃣ What challenges have you faced while creating Power BI reports, and how did you resolve them? 2️⃣9️⃣ How do you ensure data accuracy and validation in Power BI? 3️⃣0️⃣ How do you schedule and automate Power BI report refreshes? #PowerBI #DataAnalytics #JobPreparation #PowerBIDashboard #DAX #DataScience #DataAnalysis #InterviewTips #Freshers #TechCareers #PowerBIFreshers #BusinessIntelligenc

Excited to start my journey in Data Analytics! As a recent graduate with strong skills in Power BI, DAX, SQL Server, and Excel, I am passionate about turning data into actionable insights. My hands-on experience in BPO voice processes has equipped me with exceptional customer service skills and an analytical mindset. I am eagerly seeking opportunities to kick-start my career as a Data Analyst. If you know of any openings or can offer advice, I'd love to connect and discuss further. Thank you for your support! #DataAnalytics #DataScience #Fresher #JobHunt #PowerBI #SQL #CareerGoals Ready to learn more in the world of data! 🚀

To get started in the Data Industry as a fresher, here are the minimum skill sets typically required: 1. Excel Proficiency: Knowledge of Excel functions such as pivot tables, VLOOKUP, and basic formulas for data manipulation is essential. 2. SQL (Structured Query Language): SQL is essential for data extraction and querying in relational databases. Learning SQL basics, such as selecting, filtering, and aggregating data, will allow you to retrieve data efficiently. 3. Visualization Tools: Familiarize yourself with tools like Tableau, Power BI, Looker, MicroStrategy etc. or even Excel's charting features to create charts, graphs, and dashboards. I will recommend to take start from one tool, do some projects and build your Portfolio. 4. Data Storytelling: Understanding how to communicate findings effectively, with a focus on insights rather than just data, is critical for non-technical audiences. 5. Problem-Solving Skills: Data roles often involve troubleshooting data inconsistencies and defining analytical approaches, so critical thinking and problem-solving are essential. 6. Business Understanding: This is the most important aspect to understand the Business and the main reason behind it is that the more closer you will be with the flow of Business, the best solution you can provide to your client. 7. Presentation and Reporting: Being able to summarize and present findings clearly, especially for non-technical stakeholders, is highly valuable. Clear communication and presentation skills are often as important as technical skills in data roles. Anything that I've missed, please do add that in the comments!! Happy Learning 😊 Do connect with me on topmate if you want to know more!! #dataanalyst #fresher #businessunderstanding #skills

✨ My First Data Analytics Interview Experience ✨ For the past 1.5 months, I've been actively applying to Data Analyst positions as a fresher. Despite numerous applications, getting shortlisted was proving challenging. Then, I came across a walk-in interview opportunity for a DA role at Lagozon Technologies Private Limited Even though the requirement stated 2+ years of experience, I decided to take a chance and approach HR directly. They agreed to interview me. Here's what my first interview process looked like: 📝 Round 1: SQL MCQ Test • Cleared this round with good performance 🔍 Round 2: Technical Interview The questions covered both Power BI and SQL. For those preparing, here are the exact topics discussed: Power BI Questions: • Parameters in Power BI • Fact and Dimension tables concept • Cardinality and its types • Table relationships (How many can be created between 2 tables) • Many-to-many relationship optimization • Difference between SUM and SUMX • Types of roles in Power BI service • Types of filters in Power BI SQL Questions: • View syntax • Stored procedure syntax • Query to join 3 tables (A, B, and C) • Finding 3rd highest salary without LIMIT and subqueries • Query to fetch 50% rows from result set • Query to get second highest row from result set While I didn't make it to the next round, this experience helped me validate my SQL knowledge. I was able to solve all SQL queries correctly, and now I know exactly what to focus on in Power BI. Currently open to Data Analyst opportunities. Strong SQL skills, actively improving Power BI knowledge. Feel free to refer if you know of any suitable openings for a fresher DA role. #DataAnalyst #Fresher #TechnicalInterview #SQLDeveloper #PowerBI #JobSearch #Referrals #InterviewExperience

Power Bi Interview Question Asked In #TechMahindra Calling all freshers/aspiring data analysts and especially #powerbi enthusiasts ! Today, I am sharing the Power BI interview questions that were asked in a service-based company, Tech Mahindra. 1. How to handle missing values? 2. Explain the difference between Calculated Column and Measure? 3. What is DAX and give an example? 4. Explain RLS (Row Level Security) and how do you implement RLS 5. How do you disable a graph that is changing dynamically? 6. Explain the process of publishing a report? 7. How to perform Join operations? 8. How to create relationships in Power BI? 9. Good Practices in Power BI? 10. How many types or roles are available in power bi service and what was your role? Follow Mohit Nath For More #powerbi #techmahindra #interview #questions

𝗛𝗲𝗹𝗹𝗼 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲 👋 I recently completed an exciting 𝙃𝙍 𝘿𝘼𝙏𝘼 𝘼𝙉𝘼𝙇𝙔𝙎𝙄𝙎 - 𝙐𝙎𝙄𝙉𝙂 𝙎𝙌𝙇 + 𝙋𝙊𝙒𝙀𝙍 𝘽𝙄. where I cleaned, analyzed and visualized the Data. "Completed an HR Data Analysis project utilizing SQL for data extraction and transformation, and Power BI for creating interactive dashboards. The project focused on visualizing key HR metrics such as employee turnover, diversity, and performance trends to provide actionable insights for decision-making. 𝗩𝗶𝗲𝘄 𝗵𝗲𝗿𝗲 : https://lnkd.in/dD2BKfhk 👉 Your feedback is valuable – feel free to share your thoughts! 𝗧𝗵𝗮𝗻𝗸𝘀 𝗳𝗼𝗿 𝗿𝗲𝗮𝗱𝗶𝗻𝗴..😊 #DataAnalysis #dataresearch #PythonSkills #DataScience #dataanalytics #freshersjobs #datacleaning #hiring #recruitment #recruiters #datacareers #dataanalystjobs #NetflixAnalysis #DataVisualization #Fresher #DataProjects #PythonProgramming #JobSeeker #TechSkills #DataAnalytics #EntryLevelTech #CareerStart #DataInsights #ResumeBuilder #TechCommunity #CodingJourney

𝐏𝐨𝐰𝐞𝐫 𝐁𝐢 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧 𝐀𝐬𝐤𝐞𝐝 𝐈𝐧 #𝐓𝐞𝐜𝐡𝐌𝐚𝐡𝐢𝐧𝐝𝐫𝐚 Calling all freshers/aspiring data analysts and especially #powerbi enthusiasts ! Referrals | Direct Apply Links | Placement Materials :https://lnkd.in/gPt3g-ey Today, I am sharing the Power BI interview questions that were asked in a service-based company, Tech Mahindra, along with their answers. 1. How to handle missing values? 2. Explain the difference between Calculated Column and Measure? 3. What is DAX and give an example? 4. Explain RLS (Row Level Security) and how do you implement RLS 5. How do you disable a graph that is changing dynamically? 6. Explain the process of publishing a report? 7. How to perform Join operations? 8. How to create relationships in Power BI? 9. Good Practices in Power BI? 10. How many types or roles are available in power bi service and what was your role? More Questions on Part 2 Hope you found this Valuable & Helpful. If any query please comment below. Credit goes to Prem Mandal

🌟 Daily Interview Prep for Aspiring Analysts – Day 29 🌟 Hello, Freshers! 🎯 Here’s another set of questions and answers to enhance your preparation for Data Analyst, Business Analyst, HR Analyst, Analyst, and MIS Analyst profiles. Day 29: Interview Q&A Advanced Excel 1️⃣ Q: What is the difference between COUNT, COUNTA, COUNTBLANK, and COUNTIF? A: COUNT: Counts numeric values only. COUNTA: Counts all non-empty cells. COUNTBLANK: Counts empty cells. COUNTIF: Counts cells that meet a specific condition. 2️⃣ Q: How do you remove duplicates in Excel? A: Select the range, go to Data > Remove Duplicates, and choose the columns to check for duplicates. Power BI 3️⃣ Q: What is the difference between Power Query and DAX? A: Power Query is used for data transformation and cleaning before loading into Power BI. DAX (Data Analysis Expressions) is used to create calculations and measures after data is loaded. 4️⃣ Q: What is a calculated column in Power BI? A: A calculated column is created using DAX to derive new data based on existing columns. SQL 5️⃣ Q: What is the difference between HAVING and WHERE in SQL? A: WHERE filters rows before aggregation. HAVING filters aggregated results (GROUP BY). SELECT department, COUNT(*) FROM employees GROUP BY department HAVING COUNT(*) > 5; 💡 Motivation of the Day: "Every expert was once a beginner. Keep learning!" #DataAnalyst #BusinessAnalyst #HRAnalyst #MISAnalyst #InterviewPreparation #ExcelTips #PowerBI #SQLQueries #Freshers #Motivation #Analytics #DailyLearning #JobPreparation