Your Affiliate Link

Go to the AnalystHQ product page → Share → Copy affiliate link. Paste it wherever you see [INSERT YOUR AFFILIATE LINK] below.

---

🎬 TikTok / Reels — Faceless Video Concepts

Concept 1 — "The Technical Interview Trap"

Hook (text-on-screen): "90 % of data-analyst candidates fail this SQL question"

Flow:

1. Screen-record a SQL editor typing SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 75000;

2. Overlay text: "If you don't know HAVING vs WHERE, you're cooked."

3. End card: "Full breakdown + 23 more drills inside AnalystHQ — link in bio."

Caption: "I bombed this in my first interview. Don't repeat my mistake. 🔗 link in bio #dataanalyst #sql #techjobs"

---

Concept 2 — "The Portfolio Blueprint"

Hook (text-on-screen): "Hiring managers spend 7 seconds on your portfolio — make them count"

Flow:

1. Screen-record scrolling a clean GitHub/Notion portfolio.

2. Overlay checklist: ✅ SQL project ✅ Excel dashboard ✅ Written case study

3. End card: "Steal the exact template inside AnalystHQ — link in bio."

Caption: "No portfolio = no callbacks. Build yours this weekend. 🔗 link in bio #dataanalyst #portfolio #careeradvice"

---

🐦 X / LinkedIn Post Swipe

The biggest résumé secret in data analytics: Hiring managers don't care that you "know SQL." They care that you used SQL to find $40 K in billing errors. Stop listing skills. Start listing outcomes. I put together a full résumé + portfolio template pack (plus 24 guided lessons) here 👉 [INSERT YOUR AFFILIATE LINK]

---

✉️ Email Newsletter Swipe

Subject line: The "zero experience" loop — and how to break it

Body:

Hey {first_name},

Every entry-level data analyst posting says "2 + years experience required."

So how does anyone actually get in?

Short answer: you manufacture the experience yourself.

Build one SQL project with a real dataset, pair it with an Excel dashboard, and write a 500-word case study explaining your process. That trifecta replaces "experience" on your résumé.

I found a course that walks you through all three — step by step — and costs less than a textbook:

👉 [INSERT YOUR AFFILIATE LINK]

It also includes interview prep and a private community of people doing the same thing.

Worth a look if you're stuck in the loop.

— {your_name}

After helping dozens of aspiring analysts prep for interviews, I've noticed the same 5 SQL patterns come up over and over. If you can nail these, you're ahead of 80% of candidates.

1. Window Functions (ROW_NUMBER, RANK)

Almost every take-home and live coding round includes a "find the top N per group" problem. If you can't write a window function from memory, fix that today.

2. Self-Joins

"Compare each row to another row in the same table" — classic. Employee-manager relationships, consecutive day streaks, year-over-year comparisons.

3. CTEs for Multi-Step Logic

Interviewers want to see clean, readable SQL. A well-structured CTE chain shows you think in steps, not spaghetti subqueries.

4. Aggregation with HAVING

Sounds basic, but the trick is knowing when to filter before vs. after grouping. They'll test this with edge cases.

5. Date Manipulation

DATETRUNC, DATEDIFF, interval arithmetic — every analytics role involves time-series data. Be comfortable slicing by week, month, and custom periods.

I built a full bootcamp that covers all of these with practice problems and 50+ real interview questions. If you're serious about breaking into data analytics, check it out.

Welcome to the bootcamp! Here's how to get the most out of AnalystHQ:

1. Start the Bootcamp Course — Work through the lessons in order. Each module builds on the last, from data fundamentals through advanced SQL and dashboard building.

2. Grab the Templates — SQL query templates and Excel workbooks are in the resources section. Use them for practice and take them into interviews.

3. Interview Prep — Once you've finished the core modules, hit the interview prep section. Real questions from real companies, with walkthrough answers.

4. Ask Questions — Drop into the Community Chat anytime. No question is too basic. We're all here to help each other land offers.

Let's get to work.