#Dax Data

Power BI Interview Questions Every Data Analyst Must Know 📊 Power BI is one of the most demanded tools in Data Analyst interviews. If you want to crack interviews, you must know dashboards, DAX, data cleaning, and visualization concepts. This post covers real interview questions including: ✔ Data cleaning using Power Query ✔ Creating dashboards from raw data ✔ Writing DAX measures ✔ Handling missing values ✔ Creating KPI cards and reports ✔ Real scenario-based interview questions These are the exact skills companies expect from freshers and junior Data Analysts. Save this post and practice these questions before your interview. Comment "POWER BI" and I’ll share answers and practice datasets. Follow @smhs_dataanalysis for daily Data Analyst interview preparation content. #powerbi #dataanalyst #dataanalysis #powerbiforbeginners #dataanalystinterview #dashboard #datavisualization #businessintelligence #analytics #dax #excel #sql #python #careergrowth #freshers #dataanalytics #instadata #analystlife #learnpowerbi #techcareer

What does it ACTUALLY take to become a DATA ENGINEER? They don't teach you HOW to get hired... SQL isn't optional, it's mandatory. From mastering Joins to understanding Data Warehouses, this is what actually gets you hired as a Data Engineer. Watch Full Video on Youtube: Link in bio #DataEngineering #SQL #CareerAdvice #Inicreatechnologies #TechTalkwithRajib #Looker #PowerBI #podcast

Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal interview experiences(Interviews given - 5+) Duration - 1-2 Months - Basics Learn basic - intermediate SQL(joins) from youtube/udemy Basic Python from youtube/udemy/Leetcode Basic Excel Duration 2-3 Months - Intermediate Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl Practice easy-intermediate python questions on Leetcode/Hackerrank Start BI - Power BI tutorial from youtube/udemy Duration 3-4 Months - Advanced Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab Practice advanced SQL questions(window functions) Build BI projects from kaggle datasets/Datacamp Github profile to showcase your projects + LinkedIn Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT) Resources SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium) Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT Power BI/Tableau - Datacamp, wiseowl Pandas/Pyspark - Datacamp, Leetcode, Kaggle Basic Excel . . . . . . #big4 #fyp #data #analytics #ootd #grwm

Like this reel and comment “Job” for the links 🔥 NEW JOB LINKS ALERT (Power BI + Business Analyst) 🇺🇸 Posted recently ✅ Perfect for people trying to break into analytics / reporting roles 📊 👇 What is a Power BI Developer role? A Power BI Developer basically builds dashboards + reports for business teams so they can track KPIs and make decisions faster. ✅ Responsibilities usually include: • Creating Power BI dashboards & reports • Data modeling (relationships, star schema) • Writing DAX measures (KPIs, trends, calculations) • Power Query / ETL cleaning • Connecting to SQL, Excel, APIs, Dataverse, etc. • Refresh schedules + report performance optimization • Working with stakeholders to understand requirements ⸻ 👇 What is a Business Analyst role? A Business Analyst is the bridge between business teams and tech teams. They understand the problem, document it, and help deliver the solution. ✅ Responsibilities usually include: • Gathering requirements from stakeholders • Writing BRD / FRD / user stories • Process mapping + gap analysis • Coordinating with developers + QA • Helping in UAT testing + signoff • Reporting, documentation, and project tracking • Communicating updates to business teams ⸻ 💡 If you’re an international student / OPT / STEM OPT: These roles are some of the BEST entry points into the US job market. 📌 Like ❤️ + Comment “JOB” And I’ll send the links 🔗 Save this reel so you don’t lose it ✅ #powerbi #businessanalyst #dataanalytics

HOW MUCH POWER BI IS ENOUGH TO CRACK A DATA ANALYST INTERVIEW 🎯SAVE IT. #datascience #datavisualization #dataanalytics #dataanalyst

PowerBI DAX Cheatsheet 📈📊 Unlock the power of data analytics with this comprehensive Power BI DAX Cheat Sheet! Perfect for students, this resource simplifies complex DAX functions and formulas, making it easier to create impactful visualizations and reports. Follow @codeandcrush for more resources Comment Yes if you want the Pdf ⏬ in your inbox #powerbi #dax #cheatsheet #analytics #analyst #dataanalyst #businessanalyst #datascience #cloudydata #cloudydataajay #datavisualization #datascientist

here are the simple steps and roadmap To become a data analyst. if you are looking for a mock interview sessions for a data analyst, do DM me #powerbi

Difference between Database, Data Warehouse and Data Lake. #datascience #database #datawarehouse #interview

Data Analytics Interview Question 📌 For more content follow @meet_kanth 🔥 For career switch courses visit:www.bepec.in #dataanalyst #dataanalytics #dataanalystroadmap #sql #azure

Entry-level Data Engineering positions now represent just 2% of all job postings. The easy work is getting automated. Junior positions are disappearing. And that creates a classic catch-22 — how do you become experienced if there’s almost nowhere to start? But it gets worse. 45% of all data roles now mention AI. Companies want LLMs, RAG, vector databases, ML pipelines. You’re required to know multiple domains just to compete, making it inaccessible for newcomers.

Plot twist: They’re NOT the same role 🤯 Everyone told me “BI and Data Analyst are basically the same.” They lied. After researching 2026 data: → BI Analysts earn $99K avg (closer to exec teams) → Data Analysts earn $82K avg (25% growth projected) But salary isn’t everything. BI Analyst = You love dashboards, KPIs, translating data for executives Data Analyst = You’re a detective, love exploratory analysis, thrive in chaos One day you’re building Power BI dashboards. Next day you’re knee-deep in Python cleaning messy CSVs. Which sounds like YOU? Drop BI or DA below 👇 PS. Shoutout to @jam.with.ai for the inspiration and making me feel proud again to go back to my Desi roots! <3 #DataAnalytics #BIAnalyst #DataAnalyst #CareerChoice #TechCareers

Data to Decision (D2D) Raw Data -> Information -> Reports If you are new to data... and want to understand analytics, power bi in very simple way... Follow @powerbiskillhub and get yourself ready to crack interview. #dataanalytics #upskill2026 #powerbitraining #learningmadefun #interviewready✔️