106.9K
THAre data analysts and business analysts cooked in 2026 because of AI?
@the.datascience.gal
#Will Ai Replace Data Analysts
Смотрите Reels видео о Will Ai Replace Data Analysts от людей со всего мира.
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(12)
95.2K
HEAi will replace Data Analysts
1. ChatGPT (by OpenAI)
• Use: Data interpretation, SQL query generation, code debugging, report writing.
• How it helps: You can ask ChatGPT to analyze datasets, summarize insights, or explain patterns.
• Best for: Quick insights and automating repetitive analysis tasks.
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🧮 2. Microsoft Copilot (Excel + Power BI)
• Use: AI assistance inside Excel and Power BI for analysis and visualization.
• How it helps: You can simply type questions like “Show top 10 products by revenue” — and it generates charts automatically.
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📊 3. Tableau GPT
• Use: AI-powered data storytelling inside Tableau.
• How it helps: Suggests visuals, explains trends, and helps build dashboards faster.
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📈 4. Akkio
• Use: No-code AI platform for building predictive models from your data.
• How it helps: Upload your dataset → AI automatically builds and explains predictive models.
• Best for: Forecasting, customer churn, or sales prediction.
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🧠 5. MonkeyLearn
• Use: Text analysis (sentiment, classification, keyword extraction).
• How it helps: Great for analyzing feedback, survey responses, or support tickets.
• AI features: NLP-based automation for unstructured data.
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🗃️ 6. DataRobot
• Use: Automated Machine Learning (AutoML) for advanced predictive analytics.
• How it helps: Lets analysts create models without deep coding knowledge.
• Used by: Enterprises for demand forecasting, fraud detection, etc.
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⚙️ 7. Google Cloud AutoML / Vertex AI
• Use: Train custom ML models easily using your datasets.
• How it helps: Integrates with Google Sheets, BigQuery, and Looker for full data workflows.
• Best for: Cloud-based data projects.
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📊 8. Power BI Copilot (AI Insights)
• Use: AI-driven summaries and insights inside Power BI dashboards.
• How it helps: Automatically explains visuals and trends in natural language.
@hey_parthhhhhh
14.7K
TEAI won't replace data analysts - it empowers them! 🚀📊
- Learn AI, boost skills: Enhance your data game with AI tools
- Power BI + AI: Smarter visuals & insights faster
- Humans + AI = 🔥: Collaboration drives smarter outcomes
For data aspirants: Level up with AI-driven tools!
Dr. Aditi Gupta
Analytics Mentor
@techtip24
#DataAnalytics #AI #PowerBI #DataCareer
@techtip24
74.7K
PR1. Short truth: AI will change the role — not replace it.
2. Long truth (simple and real):
-AI will automate tasks like:
-Data cleaning
-Basic dashboard creation
-Writing simple SQL
-Generating summaries
So the “button-click analyst” role will disappear.
But AI cannot replace:
-Asking the right business questions
-Understanding context
-Making decisions from data
-Talking to stakeholders
-Handling messy real-world data
Businesses don’t just want numbers —
they want clarity, decisions, strategy.
And AI can’t sit in a meeting and say:
“We should increase marketing spend for Tier-2 cities because conversion is growing 18% faster there.”
That needs judgment, domain knowledge, and reasoning.
✨So what will matter MOST in 2026?
Not just tools… but:
✔️ Business understanding
✔️ Analytical thinking
✔️ Communication & storytelling
✔️ Problem-solving mindset
✔️ Domain expertise
Tech + thinking = irreplaceable.
AI won’t replace data analysts — but analysts who know how to use AI will replace those who don’t.
Ab jyada mat socho and start preparing😡.
Data analyst, data science, career, 2026 careers, freshers, tech jobs
@prernaa.py
188.7K
TEEveryone believes AI will destroy software jobs. But real-world data suggests something very different — and it could change how you think about Indian IT services.
A recent research paper introducing the Remote Labor Index (RLI) tested frontier AI models on 240 real paid freelance projects sourced from platforms like Upwork. These were not coding puzzles or benchmark exams, but actual client work across architecture, 3D design, dashboards, multimedia production, and more.
The result: the best AI model achieved only about a 2.5% automation rate. In roughly 97% of cases, AI could not produce work acceptable to a paying client. The researchers state that “current AI agents perform near the floor” on economically valuable end-to-end projects. They also introduced “autoflation,” measuring real cost reduction from AI completing these projects — currently only a few percentage points.
This matters because the current narrative assumes AI will quickly automate coding and hurt companies like Infosys, TCS, and Wipro. But AI today is good at generating pieces of work — not managing full workflows. And IT services firms primarily handle integration, migration, infrastructure, compliance, and long-term enterprise complexity.
We’ve seen this before. Cloud computing was supposed to reduce IT services, yet it created a decade-long integration boom. AI adoption may follow a similar path.
PwC surveys also indicate that many CEOs are not yet seeing meaningful financial returns from AI investments — suggesting experimentation is high, but large-scale cost savings are limited.
The market may be pricing disruption. But it may be underpricing adaptation.
Sources: Remote Labor Index (Center for AI Safety & Scale AI), PwC CEO Survey on AI returns.
Not investment advice. Just a framework to think beyond headlines about AI automation and the future of Indian IT.
@tellmesachin
57.4K
ITEveryone keeps telling me AI is going to replace my job.
Maybe.
But a few years ago I was turning wrenches as a mechanic…
and now I’m working as a data analyst.
If there’s one thing that transition taught me, it’s this:
Technology doesn’t replace people who are willing to learn it. It replaces the people who refuse to adapt.
AI isn’t the thing that worries me. Staying the same while everything around you is changing… that should.
Curious what everyone else thinks about this.
#dayinthelife #dataanalyst #ai #dataengineer #careerchange
@itssimplyjordan
14.3K
DABest AI tools for Data Analysts!
Link: https://www.analyticshacker.com/analytics-resources/best-ai-tools-for-data-analysts
#datawithashok
@datawithashok
237.2K
THWHY ITS HARD TO FIND DATA ANALYSIS JOBS?
It’s not your fault. Job market runs on Supply vs Demand. Supply is super high - Thanks to Online Courses and Tech Influencers.
You expect that in 4 Months you’ll get a job as told by these courses/programs and LIFE IS SET.
It’s a Lie.
My advice would be to keep learning. Learn Analysis and Build Projects and start applying.
Sidewise, start learning Data Science too and then Machine Learning and Then AI.
If you’ve caliber, stamina and guts to walk the long road then only start doing Data Analysis.
Finally, I wish you luck and hope you crack a Job in it in before Holi(4th March)
#theboringfounder #coding #dataanylysis #machinelearning #ai
@theboringfounder
54.8K
ASLet’s build a Data Analyst AI agent together (WITHOUT writing code)
I’m using n8n for this. This is one of my favorite no-code automation tools.
If you’d like to see a version in Python, let me know!
#datascience #aiagent #n8n
@askdatadawn
102.6K
DAComment “prompt” and I’ll personally DM the prompt to you..
A lot of people keep applying to data analyst roles and hear… nothing.
Endless scrolling, countless applications, zero replies.
But looking for a data analyst job doesn’t have to be this way.
If I were job hunting, I would use this method to automatically find fresh data analyst job openings that actually match my profile, and get notified every single day.
This would help me stop mass-applying and start targeting roles that actually fit.
No paid version.
No extensions.
No external tools.
Just a simple setup that takes a few minutes and surfaces roles posted in the last 24 hours, aligned to your skills and experience.
If you want the exact prompt I use,
Comment “prompt” and I’ll personally DM it to you.
Let’s use this holiday season to work smarter, not harder.
[data, analyst, engineer, career, skills, roles, learning, ai, prompts, insights, guidance, job, placements ]
#createwithai #aiprompts #aichat #dataanalysts #jobopenings
@datawithsai
130.2K
JEcomment “data” for full YouTube tutorial on how I built a LinkedIn Data Analyst AI Agent in 6 MIN!
84% of people have NEVER used AI. What level are you on??
Level 1 LLMs (You prompt, it responds): Claude, Gemini, and ChatGPT are fluent in language tasks, but they only predict based on your input. They don’t have awareness once you close down the chat window.
Level 2 Agents (It works alongside you): Cursor, Zapier AI Agents, n8n, GitHub Copilot, and Claude Code. These combine a language model with real tools like browsers (Notion, Google Sheets, Slack, and more). You’re no longer in every loop.
Level 3 Agentic AI (It works without you): ManusAI, Gemini Deep Research, Claude Research. These run in a continuous loop. One prompt, full output with no hand-holding required.
Agents are reactive to your process, while agentic systems are autonomous.
That distinction changes what’s actually possible!
@jessramosdata
27.4K
DAAI will replace your job — but only if you're actually smart enough to be replaced. 🤖
Look at this chart. The gap between what AI can do vs what people actually use it for is massive.
White-collar workers in legal, management, and business are sleeping on this.
Meanwhile, the 'AI will take all jobs' crowd conveniently ignores that food service and construction barely register.
The truth? Most people aren't losing their jobs to AI. They're losing them to people who use AI — and this data proves most of you still aren't one of them.
Tag someone who still thinks AI is just a ChatGPT toy 👇
#aitools #ai #chatgpt #claude
@datascienceinfo
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