1.1K
MAWhat does a data analyst do? Data analyst job functions explained 🤩
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#dataanalyst #dataanalytics #dataanalysis #wfh #workfromhome #remotejobs #remotework #wfhjobs #data #analysis #analyst
@marytheanalyst
#Data Analyst Job Explained
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FIEp18 - Data Analyst interview guide 2026.
Landing on your job as a data analyst by 2026 made easy now. I have compiled most asked questions in data analyst interviews from basic to advanced topics.
Share this reel with your aspiring data analyst friends. This may help them to prepare for their interview. Start early as we are just one month away from 2026.
Comment GUIDE and the document will land on your dm. Make sure you follow the account to get the guide.
Follow @fitwit_krish for more.
[interview, data analyst, tips, fresher, hiring, first job, roadmap]
#hiring #dataanalysis #roadmap
@fitwit_krish
852.5K
SURepost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2?
what are other skills that would you add to the list??
#dataanalysis #dataanalyst #sql #python
@sundaskhalidd
152.8K
THBas 30 din bache hain 2026 ke… and if you want a 6–8 LPA Data Analyst job as a fresher, do JUST these 3 certifications.
1️⃣ AWS Data Engineer
2-week plan.
Paid cert — but once this badge goes on your resume → 7X more shortlists.
2️⃣ Google Prompt Engineering
FREE.
2–3 days ka module.
AI + Data combo = instant recruiter attention.
3️⃣ Excel / Power BI Certification
2–3 days.
Dashboard skills = MUST for every data role.
⏳ Last 1 week:
Pick ANY 2 → build 2 projects → host → add project links in your resume →
👉 ATS score 85+ almost guaranteed.
📌 Next 3 steps to get interview calls faster:
1. Apply to 20–30 targeted roles every day.
2. Use AI to personalise your resume for each JD.
3. Post your projects on LinkedIn & tag companies — HRs share most openings on their pages. Connect with them first.
💬 Comment Next Profession, I should cover next.
👉 Follow for real, practical career advice — no fluff.
@thegauravghai
34.5K
ASHow to go from Data Analyst → Data Scientist
Comment PATH to get my FREE 2026 Data Science roadmap, which includes curated learning resources AND the stats concepts you must know.
I went from a Business Analyst role to a Data Science role without going back to school or paying for a bootcamp. Here’s what I did!
1. Get really good at ONE coding language. SQL or Python — pick just one.
Make sure you’re practicing EVERY single day. Preferably at your Data Analyst job, because you’ll learn REALLY fast in the real-world, when you have to deal with dirty data, vague business requirements, broken pipelines etc.
2. Build up your business sense.
You are already in an Analyst job, which means you are already in an environment where data is USED to make business decisions. The easiest way to learn business sense, make sure you can trace every downstream decision made from YOUR analysis.
3. Learn Statistics. But not ALL of statistics, you’ll go crazy trying to learn everything.
Focus on just the core stats concepts and machine learning models (these are listed in my Data Science roadmap!)
4. At this point, you’ve built all of the skills & knowledge you need. so the question is how do you get a hiring manager to see YOU as the best candidate?
By having leadership experience. You don’t have to manage a team, you just have to lead a project end-to-end, from scoping out the problem, to executing, to landing measurable metric impact.
#datascience #datascientist
@askdatadawn
102.8K
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
476.7K
COData analyst job in Amazon .
#data #analyst #job #career #success
@corporate.wala.youtuber
109.9K
SEAdaire Technology 𝐢𝐬 𝐇𝐢𝐫𝐢𝐧𝐠 – Data Analyst!
📌 Job Details:
• Role: Data Analyst
• Experience: 0 – 1 Year (Freshers Eligible!)
• Job Type: Full Time
📍 Work Locations: Pan India
⏳ Last Date to Apply: Asap
Apply link : https://lnk.bio/hiringclub
#adaire #Hiring #Freshers #Freshers2025 #Freshers2024
#OffCampusDrive #SoftwareEngineer#ITJobs #JobSearch
#HiringNow #EngineeringJobs #PanIndia
@sen.manglam
125.5K
THIf you are confused how to get into Data analyist?
Not sure which skills needed ?
And also don't no how much to expect as a fresher and experienced?
Then this vedio is for you.
Comment down below even you got into data analyst role same as he did.
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#dataanalyst #fresher #jobs #hustlestories #adviceoftheday #realtalk #money #20s #explorepage
@thehustlemaniacs
428.8K
PRIf I Had to Start Over in 2026 to Become a Data Analyst-
First: The mindset (non-negotiable)
In 2026, data analysts are not hired for tools.
They’re hired for:
“Can you find insights fast and explain them clearly—with or without AI?”
AI is your assistant, not your replacement.
WHAT I’D LEARN (IN ORDER)
1️⃣ SQL — Still the KING
How much SQL is enough?
👉 80% of real work.
Must-know:
SELECT, WHERE, ORDER BY
JOINs (INNER, LEFT, RIGHT)
GROUP BY + HAVING
Subqueries
Window functions (ROW_NUMBER, RANK, LAG)
Case statements
How AI fits:
Use AI to optimize queries
Ask AI to explain slow queries
Convert business questions → SQL
💡If you’re weak in SQL, AI won’t save you.
2️⃣ Python — Not Software Engineer Level
You don’t need DSA. Period.
Exactly what I’d learn:
Python basics
Pandas (VERY IMPORTANT)
NumPy (basic)
Data cleaning
EDA
Simple functions
What I’d SKIP:
Complex OOP
LeetCode / DSA
Building frameworks
Goal: “I can clean messy data, analyze it, and explain patterns.”
3️⃣ Data Visualization — INSIGHTS > CHARTS
Tools don’t matter much:
Power BI / Tableau / Looker
What matters:
Choosing the right chart
Writing 1-line insights
Storytelling
AI use:
Auto-generate dashboards
Improve chart explanations
Convert insights into stakeholder language
🤖 AI TOOLS I’D ACTUALLY USE (2026-Ready)
🔹 Must-Use AI Skills
(Not tools only—skills)
1️⃣ ChatGPT / Claude / Gemini
Use for:
Writing SQL queries
Debugging Python
Explaining concepts
Generating insights from data
Resume + interview prep
2️⃣ Excel + AI
Excel Copilot
AI formulas
Auto-clean data
3️⃣ AI for Data Cleaning
Tools like:
AI-powered data prep tools
Auto-mapping columns
Outlier detection
(You don’t need names—just show you can do it)
📊 PROJECTS I’D BUILD (MOST IMPORTANT)
❌What I wouldn’t do:
Titanic dataset
Iris dataset
House price prediction
✅ What I’d do:
Business-style projects:
Sales performance analysis
Customer churn analysis
Marketing funnel analysis
Product usage analysis
Each project MUST have:
Problem statement
Business questions
SQL + Python
Dashboard
Final insights
AI can help—but YOU explain.
Comment “pdf” for complete guide.
@prernaa.py
14.5K
SMPart 2 of misconceptions about Data Analyst
#dataanalyst #dataanalytics
@smrititales
437.5K
SHComment- Job to receive apply link of Data Analyst hiring at American Express.
Follow @shakra.shamim for more such posts.
#dataanalyst #interview #job #hiring #career
@shakra.shamim
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