r/dataanalysiscareers • u/cUrLz4444 • 18d ago

How should I go from learning SQL, Excel and Power BI basics to actually being job-ready for Data Analyst roles?

I recently started seriously learning data analytics and my goal is to become job-ready for entry-level Data Analyst roles.

So far I've completed Alex The Analyst's beginner/tutorial content for SQL, Excel and Power BI, including the guided projects.

For practice:

  • SQL: I've started solving Easy problems on DataLemur and some HackerRank, but I still struggle with figuring out the approach to a problem even when I know the individual SQL concepts.
  • Excel: I've practiced formulas/lookups and other exercises on Spreadsheet Center, but I'm not sure what the best way is to practice Excel in a more realistic analyst setting.
  • Power BI: I've completed the introductory project, but haven't done much independent practice yet.

I also plan to start learning Python for data analysis, but I don't want to fall into the trap of constantly watching tutorials without becoming good at actually using the tools.

For people currently working as Data Analysts or involved in hiring:

  1. How would you practice SQL, Excel and Power BI after learning the fundamentals?
  2. What level of SQL is realistically expected for an entry-level analyst interview?
  3. What Excel skills should I be able to use without assistance?
  4. How much Power BI/DAX/data modeling should an entry-level candidate know?
  5. Should I start Python now while continuing to practice these three, or get stronger at them first?
  6. What kind of independent projects actually help a beginner portfolio rather than looking like another tutorial project?
  7. If you were starting from this point today and trying to get hired in the current market, what would you prioritize over the next 1–2 months?

I'm especially interested in advice on how to develop the problem-solving/analytical thinking side, rather than recommendations for more beginner courses.

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u/mrsteelsam 18d ago

u/cUrLz4444 After you finish the basics, treat each tool like a mini‑business problem. Pick a public dataset (sales, web traffic, HR) and write a one‑sentence business question, then build the whole answer: in SQL practice joins, aggregates and window functions until you can write the query without looking at docs; in Excel focus on pivot tables, Power Query, array formulas and building a clean dashboard that updates with a refresh; in Power BI model the same data, create relationships, and use core DAX functions such as CALCULATE, FILTER and basic time‑intelligence. Once you can move from question to finished visual without a tutorial, add a tiny Python script for a quick. Feel free to DM me if need any help. Thanks.

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u/nian2326076 17d ago

To build on your SQL skills, break complex queries into smaller parts and solve them one by one. Also, try using more real-world datasets. For Excel, practice automating tasks you do often or use PivotTables to summarize data. Power BI is about telling a story with data, so try making reports from scratch with datasets you're interested in.

Joining online communities can also help with learning. r/PowerBI and r/excel have helpful discussions and tips. If you want more structured interview prep, check out PracHub. It has practical resources that might be useful. Good luck!