3.7K
SUDay 1: 3 mistakes holding you back in your career as a data analyst 😭
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What else you would add to the list?
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#dataanalyst #dataanalysis #sql #python #datascientist #dataengineer
@sundaskhalidd
#Cloudsql
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IAIf you’re searching for data analytics jobs, you’ve probably seen those job descriptions that start normal… and then suddenly expect you to be an analyst, data scientist, data engineer, and business strategist - all in one role.
SQL? Sure.
Python? Okay.
Tableau or Power BI? Makes sense.
But then it becomes: Machine Learning, Cloud, Data Engineering, Stakeholder Management, Storytelling, and somehow also solving every business problem in the company.
Are companies hiring a data analyst… or trying to build an entire data team with one person?
If you’re currently job hunting in data analytics and those job descriptions feel unrealistic, you’re definitely not the only one.
Sometimes the JD is just a wishlist, not the actual job.
Follow for more real talk about corporate life, job hunting, and tech careers!
#analyticsjobs #womenintech #techcareers #corporatereality #jobsearch
@iamshhhweta
128
THData roles, from the inside — duties, wins, and pain points.
Analysts: quick impact, but lots of cleaning (~60%).
Scientists: high leverage, but lots of prep (70–80%) and production gaps. Engineers: the backbone, often invisible.
Save this for hiring or career planning. Which role fits you? Comment below and follow for more data career clarity.
#data #dataanalyst #datascience #dataengineer #analytics #machinelearning #sql #python #career #techcareers #businessintelligence #etl #mlops #roles #engineering #tech #IT
@the_funny_engineer.life
![#Cloudsql Reel by @ksk_data - Why Data Engineers Don't Trust Raw Data
[ data engineer, data analyst, data careers, data engineering role, data analyst vs data engineer ]
#DataEng](https://image.pictame.com/img/653705800_1708065080360741_7660283283709491035_n.jpg?hash=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)
652
KSWhy Data Engineers Don’t Trust Raw Data
[ data engineer, data analyst, data careers, data engineering role, data analyst vs data engineer ]
#DataEngineer #DataCareers #TechJobs #DataAnalytics #CareerClarity
@ksk_data
1.5K
ANIf I had to restart my data analyst career in 2026, I wouldn’t focus on tools first.👇🏻🤑🎉🔥🤯
Most people spend months learning SQL, Python, or Power BI… but still struggle to get interviews.
The difference is not tools — it’s how you think and what you build.
In today’s AI-driven world, companies are looking for people who can:
• understand business problems
• build meaningful projects
• use AI tools effectively
• turn data into decisions
If you’re starting your analytics journey, focus on skills that actually create impact.
Save this reel if you’re planning a career in data analytics.
Follow @analyticswith_sundeep for insights on AI, analytics careers, and the future of work.
#analyticswith_sundeep #DataAnalytics
#DataAnalyst
#AnalyticsCareers
#CareerAdvice
TechCareers
FutureOfWork
AISkills
LearnDataAnalytics
DataScience
AnalyticsWithSundeep
@analyticswith_sundeep
157
CHComment “DATA” and I’ll send you the step-by-step guide to build these 5 data analyst projects.
Here’s what you’ll learn to build:
1️⃣ A Sales Dashboard with real-time KPIs and trend analysis
2️⃣ A Customer Churn Prediction model using SQL and Python
3️⃣ An Automated Reporting Pipeline that saves 10+ hours every week
4️⃣ A Spotify / Netflix User Behavior Analysis to uncover hidden patterns
5️⃣ A Financial Fraud Detection project using anomaly detection
These projects will help you showcase real analytical skills, not just tools on your resume.
The third project actually inspired the one I built that helped me land a job in the US.
Comment DATA and I’ll share the full guide.
Follow for more data analytics career tips and project ideas.
#dataanalytics #dataanalyst #datascience #sql #python powerbi tableau analytics techcareers datajobs
@chandukongara_
652
KSFor daily career concepts🧑💻, join my group — link is in the bio. 🔗👇
This series is designed to help students and beginners clearly understand what a Data Engineer and Data Analyst actually do in real companies. In this series, I explain real-world responsibilities like building data pipelines, collecting data from APIs, cleaning data using SQL, designing fact and dimension tables, handling cloud platforms like BigQuery, and supporting business decision-making through reliable data systems. Instead of only theory, you will learn how data flows inside companies, how marketing and product teams use data, and what practical skills are required to become a successful data professional. Whether you are a student between 18–24, a fresher, or someone planning to switch into the data field, this series will give you structured, industry-level clarity in simple English. Follow this channel to learn real data engineering concepts, career guidance, and practical insights that help you prepare for real projects and job roles in the data industry.
[ what does a data engineer do every day, daily tasks of a data engineer, data engineer day in the life, typical day of a data engineer, data engineer responsibilities, what does a data engineer actually do, data engineering workflow, data engineer tasks and duties, data engineer job routine, data pipeline maintenance tasks, data engineer work process, data engineer daily tools, sql tasks for data engineers, python tasks for data engineers, etl tasks data engineer, data cleaning tasks in data engineering, data warehouse maintenance tasks, data engineer collaboration with data scientists, data engineer vs data scientist daily work, data engineer vs data analyst tasks, data engineering lifecycle, monitoring data pipelines daily, data validation tasks in data engineering, data transformation tasks, data ingestion tasks data engineer, data engineer debugging tasks, data engineering documentation tasks, big data engineer daily tasks, ]
#DataEngineerprojects #DataAnalystaalary #SQL #CloudComputing #dataengineerroadmap
@ksk_data
140
QE📍 Follow @qenedata for more 🚀
Practical Roadmaps. Handwritten Notes. Real-World Projects. Premium Resources.
If you're serious about becoming a Data Analyst, AI Engineer, or Data Scientist — you're in the right place.
🔐 4 Things You Should Do Now:
✅ Save this post — your future self will thank you
✅ Turn on Post, Reel & Story notifications — never miss free resources
✅ Join our Instagram Channel — exclusive content & insider drops
✅ Share with a friend who wants to break into tech
We don’t just teach tools.
We teach you how to think, build, and get hired.
#datascience #dataanalyst #ai #machinelearning #sql #python #techcareer #learncoding #fyp #trendingreels
@qenedata
3
THData careers reward consistency more than intelligence.
#datascience #dataanalytics #sql #python #machinelearning #bigdata #tableau #powerbi #businessintelligence #analyticscommunity #dataengineer #ai #techcareer #careerjourney #futureofwork #datavisualization #upskill #datadriven
@themonkanalyst
1.0K
DAIf you want to land a high paying data role in 2026, comment “DATA ENGINEER” below 👇🏻👇🏻
@data_engineer_academy
26.6K
DAI wish someone gave me this checklist when I started. 📋
Most people spend months figuring out what to learn.
This cuts through all of it - Excel, SQL, Python, Power BI, Resume, LinkedIn, Portfolio… everything mapped out in one place.
Follow this roadmap → Land your first Data Analyst job. Simple.
💬 Comment "DATA" to get 120+ Interview Questions in your DM 🚀
📲 Follow @datasciencebrain for Daily Notes 📝, Tips ⚙️ and Interview QA🏆
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[dataanalytics, artificialintelligence, deeplearning, bigdata, agenticai, aiagents, statistics, dataanalysis, datavisualization, analytics, datascientist, neuralnetworks, 100daysofcode, llms, datasciencebootcamp, ai]
#datascience #dataanalyst #machinelearning #genai #aiengineering
@datasciencebrain
273
DEDon't become a data analyst if:
1. You hate Excel (it's used daily)
2. You don't like dashboards/design
3. You hate explaining to non-tech people
4. You want it as ""entry"" to DE/DS
5. You don't care about business problems
Data analytics is NOT a high salary shortcut.
But if you love business problems + data storytelling = amazing career.
Know what you're getting into.
#DataAnalyst #CareerAdvice #TechCareer #DeployU
@deployu.ai
✨ #Cloudsql Discovery Guide
Instagram hosts thousands of posts under #Cloudsql, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
#Cloudsql is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @datasciencebrain, @sundaskhalidd and @iamshhhweta are leading the way with their viral content. Browse these popular videos anonymously on Pictame.
What's trending in #Cloudsql? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
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Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 8.4K views (2.8x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
Content Creation Tips & Strategy
💡 Top performing content gets 1K+ views - focus on engaging first 3 seconds
📹 High-quality vertical videos (9:16) perform best for #Cloudsql - use good lighting and clear audio
✨ Some verified creators are active (17%) - study their content style for inspiration
✍️ Detailed captions with story work well - average caption length is 651 characters
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