💤 The Lazy Analyst’s Workflow

Most analysts confuse busyness with productivity.
They write long SQL queries.
Tweak dashboards no one opens.
Spend hours cleaning data.

And still — their reports often get ignored.

The fix?
Be a little “lazy.”
Not careless. Efficient.

🧠 The Problem

Too much energy goes into the wrong tasks:

• Manual cleanup

• Endless formatting

• Chasing “perfect” dashboards

The result: burnout and forgotten reports.

✅ The 5-Step Lazy Workflow

Step 1: Reuse Before You Write
Save and reuse queries, visuals, and functions.
👉 Example: a Notion SQL “cheat sheet” that covers 60% of requests.

Step 2: Automate the Boring Stuff
Use Power Query, Python, or AI tools to clean and format.
👉 Example: a 3-hour Excel cleanup became a 12-second refresh.

Step 3: Start With the Decision
Always ask: What decision will this support?
👉 Example: A sales report focused only on product profitability. No extra noise.

Step 4: Use Templates
Keep 2–3 report/dashboard templates ready.
👉 Example: a Power BI template with pre-styled filters and KPI cards.

Step 5: Pre-Answer Questions
Add short notes that explain anomalies.
👉 Example: “Profit drop in March due to discount campaign.” Saved 3 meetings.

🧘 Bonus: Use AI as Your Assistant

AI can:

• Rewrite SQL

• Summarize CSVs

• Suggest KPIs

• Explain DAX in plain English

Less overhead. More focus on business logic.

💥 Results

• 6–10 hours saved weekly

• Faster reports with fewer revisions

• Stakeholders who trust your insights

• More thinking, less firefighting

📣 Final Thought

Lazy ≠ careless.
Lazy = smart systems.

Next time someone calls your workflow lazy — smile.
You know better.

👉 You’re not lazy. You’re efficient.

📊 What’s your best time-saving trick? Reply and share.

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