No-Code Hacks to Make Excel Work Like a BI Tool
✨ Why This Matters
If you’ve ever opened a spreadsheet full of job listings, you know the pain:
Inconsistent job titles. Skills hidden in walls of text. Missing salary info. Zero structure.
I’ve been there — staring at 400+ rows of data, dreading the hours of cleaning and sorting it would take.
But what if GenAI could handle all of that for you?
That’s exactly what I tested — and with no Python, no SQL, and no dashboards, I turned a chaotic Excel sheet into clean insights in minutes. Here’s how.
🧰 Tools I Used
| Tool | Purpose |
|---|---|
| 📄 Excel | Raw job listings file |
| 🤖 Genspark | Clean and analyze data using GenAI |
| 💬 ChatGPT (optional) | Summarize trends and enrich descriptions |
📚 What I Wanted to Create
I started with a spreadsheet of 466 unstructured job listings, full of:
- Confusing job titles (e.g., “ML II” vs. “AI Lead”)
- Mixed formatting for experience levels
- Skills buried in messy job descriptions
- Missing or vague salary data
My end goal?
✅ A clean, enriched dataset ready for job trend analysis — even by non-coders.
🎯 Target Columns I Wanted GenAI to Create
- Standardized Job Titles (e.g., “Data Scientist”)
- Seniority Level (Junior / Mid / Senior / Lead)
- Specialization (e.g., Product Analytics, Healthcare NLP)
- Technical Skills (SQL, Python, GenAI, Power BI…)
- Salary Range by country and company size
- Company Size labels (Small / Medium / Large)
📝 My Prompt to GenAI (via Genspark)
Here’s the exact ask I gave:
“Can you create new columns for standardized job title, level, specialization, and special skills based on this data?
Bonus: Enrich with salary ranges by region and company size.”
✅ The Result
In just one GenAI run, I got:
- 🎯 Clean job titles like “Product Data Scientist”
- 📈 Levels extracted from fuzzy descriptions (even “3+ yrs exp” became “Mid”)
- 🧠 Specializations auto-tagged (e.g., “AI for Healthcare”, “Marketing Analytics”)
- 🛠️ Technical skills like Python, SQL, GenAI, Power BI — automatically clustered
- 💸 Salary ranges enriched by region and converted into USD/INR/IDR
- 🏢 Company size tags based on employer name or headcount
🧭 How You Can Do This Yourself
- Start with a CSV or Excel file of job listings
- Upload to Genspark or similar GenAI tools
- Ask it to create new columns:
- Standardized Job Title
- Seniority Level
- Specialization
- Key Skills
- Estimated Salary Range
- Review, tweak if needed, and export as Excel
- Use it to:
- Spot job market trends
- Build career insights content
- Automate resume review or hiring research
⚠️ Watch Out For
- Some GenAI outputs may need light refinement (e.g., spelling or industry naming)
- Results get better if your source data is consistent (e.g., remove blank rows first)
- Always cross-check salary data before using it commercially
💬 What’s Next
I’m working on a video walkthrough of this workflow — perfect if you’re in HR, job hunting, or building a career insights blog.
