u/Mountain-Career1091

I keep seeing people jump straight into dashboards, but I think the real advantage comes from the basics first:

• Excel
• SQL
• data cleaning
• basic statistics
• data modeling
• visualization principles

Power BI is the tool. The bigger skill is understanding the data and turning it into something useful for business decisions.

For people already working with Power BI, what skill helped you the most early on?

I've been freelancing as a data analyst for the past 3 years and have worked with 100+ clients on dashboards, SQL, Excel, Power BI, Looker Studio, GA4, and other analytics projects.

Now I'm trying to transition into a full-time remote data analyst role, but LinkedIn applications seem to go nowhere. Very few responses, almost no interviews.

For those of you who landed remote data analyst jobs recently:

* Where did you actually find the job? * Did referrals make the biggest difference? * Is LinkedIn enough, or are there better platforms? * What changed that finally got you interviews?

I'd really appreciate hearing what's working in today's market because it feels very different from freelancing.

I've been freelancing as a data analyst for the past 3 years and have worked with 100+ clients on dashboards, SQL, Excel, Power BI, Looker Studio, GA4, and other analytics projects.

Now I'm trying to transition into a full-time remote data analyst role, but LinkedIn applications seem to go nowhere. Very few responses, almost no interviews.

For those of you who landed remote data analyst jobs recently:

• Where did you actually find the job?
• Did referrals make the biggest difference?
• Is LinkedIn enough, or are there better platforms?
• What changed that finally got you interviews?

I'd really appreciate hearing what's working in today's market because it feels very different from freelancing.

I've been freelancing as a data analyst for the past 3 years and have worked with 100+ clients on dashboards, SQL, Excel, Power BI, Looker Studio, GA4, and other analytics projects.

Now I'm trying to transition into a full-time remote data analyst role, but LinkedIn applications seem to go nowhere. Very few responses, almost no interviews.

For those of you who landed remote data analyst jobs recently:

• Where did you actually find the job?
• Did referrals make the biggest difference?
• Is LinkedIn enough, or are there better platforms?
• What changed that finally got you interviews?

I'd really appreciate hearing what's working in today's market because it feels very different from freelancing.

I've been freelancing as a data analyst for the past 3 years and have worked with 100+ clients on dashboards, SQL, Excel, Power BI, Looker Studio, GA4, and other analytics projects.

Now I'm trying to transition into a full-time remote data analyst role, but LinkedIn applications seem to go nowhere. Very few responses, almost no interviews.

For those of you who landed remote data analyst jobs recently:

• Where did you actually find the job?
• Did referrals make the biggest difference?
• Is LinkedIn enough, or are there better platforms?
• What changed that finally got you interviews?

I'd really appreciate hearing what's working in today's market because it feels very different from freelancing.

I've been freelancing as a data analyst for the past 3 years and have worked with 100+ clients on dashboards, SQL, Excel, Power BI, Looker Studio, GA4, and other analytics projects.

Now I'm trying to transition into a full-time remote data analyst role, but LinkedIn applications seem to go nowhere. Very few responses, almost no interviews.

For those of you who landed remote data analyst jobs recently:

• Where did you actually find the job?
• Did referrals make the biggest difference?
• Is LinkedIn enough, or are there better platforms?
• What changed that finally got you interviews?

I'd really appreciate hearing what's working in today's market because it feels very different from freelancing.

I used to think learning Excel meant memorizing hundreds of formulas.

After helping 50+ people prepare for data analyst roles, I realized the opposite.

The people who improved fastest didn't learn everything—they learned the right things in the right order.

The framework I now use takes just 7 days:

• Day 1: Excel fundamentals & formulas
• Day 2: Logical functions
• Day 3: Lookups (XLOOKUP, INDEX/MATCH)
• Day 4: Data cleaning & Power Query
• Day 5: Pivot Tables
• Day 6: Dashboards & visualization
• Day 7: Build a complete project from raw data

The goal isn't to "finish Excel."

The goal is to build something you'd actually show in an interview.

If you're learning Excel for data analytics, what topic slowed you down the most?

I used to think learning Excel meant memorizing hundreds of formulas.

After helping 50+ people prepare for data analyst roles, I realized the opposite.

The people who improved fastest didn't learn everything—they learned the right things in the right order.

The framework I now use takes just 7 days:

• Day 1: Excel fundamentals & formulas
• Day 2: Logical functions
• Day 3: Lookups (XLOOKUP, INDEX/MATCH)
• Day 4: Data cleaning & Power Query
• Day 5: Pivot Tables
• Day 6: Dashboards & visualization
• Day 7: Build a complete project from raw data

The goal isn't to "finish Excel."

The goal is to build something you'd actually show in an interview.

If you're learning Excel for data analytics, what topic slowed you down the most?

Everyone shares keyword and traffic dashboards.

I find crawl health dashboards far more actionable because they answer questions like:

* Are pages actually indexable? * Is crawl budget being wasted? * Are canonicals and redirects working as expected?

Curious if anyone else reviews crawl metrics regularly, or is it only when something breaks?

Everyone shares keyword and traffic dashboards.

I find crawl health dashboards far more actionable because they answer questions like:

• Are pages actually indexable?
• Is crawl budget being wasted?
• Are canonicals and redirects working as expected?

Curious if anyone else reviews crawl metrics regularly, or is it only when something breaks?

Everyone shares keyword and traffic dashboards.

I find crawl health dashboards far more actionable because they answer questions like:

• Are pages actually indexable?
• Is crawl budget being wasted?
• Are canonicals and redirects working as expected?

Curious if anyone else reviews crawl metrics regularly, or is it only when something breaks?

I've been using Metabase for marketing analytics lately, and I'm surprised it isn't discussed as much as Power BI or Looker Studio. With the right SQL and data model, it handles dashboards for ROI, ROAS, campaign performance, CPC, CPM, and conversions really well.

For those using Metabase in production, what's been your experience? What does it do better than other BI tools, and where do you think it falls short? I'd love to hear how others are using it for marketing analytics.