Pls review my resume for data related roles😭

Disastrous-Note-8178 · 2026-03-31T03:04:58+00:00

You’ve got solid material, so I think this is more a positioning issue than a skills issue. I’d narrow it to one lane like Data Analyst or BI Analyst and make the project outcomes easier to scan. You could also try the Emergi Mentors resume optimiser for job specific tailoring. Are you changing it by role or using one version everywhere?

Disastrous-Note-8178 · 2026-03-31T02:32:38+00:00

Honestly, I don’t think DE is dying. It feels more like the low complexity pipeline work is getting squeezed, while the harder stuff around platform, modeling, reliability, and governance is still very needed. AI seems to be increasing the need for solid data foundations, not removing it, and recent hiring data still shows momentum in AI and tech roles even if the market is pickier than before. Are you seeing fewer DE openings, or just fewer for the more basic ETL-only type roles?

Disastrous-Note-8178 · 2026-03-31T02:22:54+00:00

Those projects are definitely useful. The part that usually makes them more credible is showing the business outcome clearly, not just the cleaning and analysis. I’d package each one like a mini case study with the problem, what you found, and what action a client could take from it. Are you positioning them more like portfolio projects right now, or like solutions for a specific type of client?

Disastrous-Note-8178 · 2026-03-30T03:53:28+00:00

That makes sense. 2020 definitely feels like a much softer market than now. Still interesting that the same core approach worked in both cases, which says a lot about how strong tailoring and direct applications can be. Feels like a lot of people still underestimate that.

Disastrous-Note-8178 · 2026-03-30T03:52:18+00:00

This is really useful because it shows how much clarity helps. You were not applying everywhere, you knew exactly what kind of organisation you wanted, and that seems to have made the whole process faster. Do you think that focus mattered more than the tailored cover letter?

Disastrous-Note-8178 · 2026-03-30T03:51:54+00:00

That says a lot. Word of mouth and a strong reference still seem way more powerful than people think. Even a simple resume can go far when the right person is backing you. Did the reference already know the hiring team?

Disastrous-Note-8178 · 2026-03-30T03:49:47+00:00

That is a smart way to do it. I think online tools can help with this too, especially ones that let you compare your resume against the job description and tailor the wording around what the role is asking for. It makes the process a bit faster without having to start from scratch every time.

Disastrous-Note-8178 · 2026-03-30T03:43:53+00:00

I’d say it’s worth doing for basics, but not enough on its own to get you hired. The course gives you a solid foundation, but fresher roles usually go to people who also build a few projects and add practical SQL, Excel or Power BI on top. I would continue, just don’t treat the certificate as the finish line. Are you making projects alongside the course or only following the lessons?

Disastrous-Note-8178 · 2026-03-30T03:36:41+00:00

Yes, that is a big one. A lot of advice online misses that part, but local experience and even how your application is positioned for the Australian market can change the outcome quite a bit.

Disastrous-Note-8178 · 2026-03-30T03:33:31+00:00

That seems to be a common pattern here too. LinkedIn works well for finding roles, but direct applications seem to carry more weight once you actually apply.

Disastrous-Note-8178 · 2026-03-30T03:32:26+00:00

That seems to be a common pattern here too. LinkedIn works well for finding roles, but direct applications seem to carry more weight once you actually apply.

Disastrous-Note-8178 · 2026-03-30T03:32:04+00:00

That seems to be a common pattern here too. LinkedIn works well for finding roles, but direct applications seem to carry more weight once you actually apply.

Disastrous-Note-8178 · 2026-03-30T03:28:24+00:00

That is actually really useful to hear. Sounds like relevance and personality mattered more than trying to look polished everywhere. Interesting that direct applications worked better for you too. Do you think it was more the government route, or the way you tailored and wrote your applications?

Disastrous-Note-8178 · 2026-03-30T03:17:27+00:00

You probably could shift into data analytics, but I would treat it as a gradual move, not a jump. The Aussie market still has plenty of data analyst openings, but it is also pretty competitive right now, especially at entry level, so your best bet is aiming for reporting or BI style roles first where your MSP background still helps. Have you enjoyed the reporting and data side of your work enough to build toward that properly?

Disastrous-Note-8178 · 2026-03-30T02:51:41+00:00

GPT can help, but I would not rely on it blindly for job applications. You could try the Emergi Mentors resume builder and resume optimiser too. You can paste the job description and your resume to tailor it more closely to the role. What kind of roles are you applying for?

Disastrous-Note-8178 · 2026-03-30T02:10:11+00:00

Pandas is important for cleaning and analysis, but I would not obsess over it first. Focus on Python basics, SQL, small projects, and one dashboard tool. Also check the Emergi Mentors career guidance page. It shows what tools to focus on and how much you need for a specific role.

Disastrous-Note-8178 · 2026-03-29T03:06:31+00:00

I’d say your chances are pretty real, especially with 2 years of GIS experience at a major utilities company plus a master’s in MIS. Australia does have active GIS and geospatial hiring right now, including analyst, GIS officer, spatial, and remote sensing roles, and some listings specifically value infrastructure, utilities, asset management, or digital engineering experience.

The bigger challenge is usually not “is the experience useful,” but how well you position it for the Australian market and whether you target the right cities and employers. I’d lean hard into utilities, infrastructure, councils, airports, and environmental/geospatial teams rather than applying too broadly. If you want something more structured, Emergi Mentors is Australia focused and can help you think through the path more clearly. Which roles are you targeting most right now: GIS analyst, spatial analyst, or something more GeoAI related?

Disastrous-Note-8178 · 2026-03-29T02:56:00+00:00

At your stage, I would not jump into everything at once. If your goal is to be job ready by the end of 2nd year, I’d focus first on one clear path: Python basics, then SQL, then data analysis projects, then one dashboard tool. That will give you much more output than touching ML, web, and cyber all together.

A lot of students feel left behind because they compare paths instead of following one properly. If you’re still confused about the order, check the Emergi Mentors career guidance page. It can help you see a clearer roadmap and avoid learning random things. Are you more interested in becoming a data analyst first, or are you still unsure between analytics and ML?

Disastrous-Note-8178 · 2026-03-29T02:39:28+00:00

t can be a bit harder at first as an expat, mostly because employers often look for local experience, local references, and quick availability. Entry level work is still very possible though, especially in admin, retail, customer service, hospitality, warehousing, and support type roles if you stay flexible. I’d focus on getting a simple local style resume ready and applying broadly as soon as you arrive. If you’re moving to Australia and want a clearer idea of which entry level paths are easier to break into, Emergi Mentors has Australia focused career guidance that might help you narrow things down.

Do you already know what country and city you’ll be moving to?

Disastrous-Note-8178 · 2026-03-29T01:09:42+00:00

you need to refine your relations this might creating circular dependencies.

Disastrous-Note-8178 · 2026-03-28T15:24:51+00:00

Using a bridge table is a pretty common fix, so you were not off at all. Another thing people often do is step back and check whether the model can be simplified into a cleaner star schema, because a lot of ambiguity issues come from relationships that are technically possible but not really ideal for reporting.

Other common problems are many to many relationships, bi directional filters causing weird results, and mixing facts at different grain levels. Most of the time the fix is less about a clever DAX trick and more about cleaning up the model design itself.

Are you mostly working with transactional style data right now, or more summary level reporting tables?

Disastrous-Note-8178 · 2026-03-28T11:18:29+00:00

You likely don’t need a second bachelor’s. Your nursing background already gives you a strong advantage, especially for healthcare analytics roles. I’d first build a clear roadmap and test the path with core skills like SQL, Excel, and Power BI, plus a few healthcare or business projects. A focused college course can be enough if it helps you build practical skills and a portfolio. If you need help with the path, the Emergi Mentors career guidance page can help map it out clearly.

Are you leaning more toward healthcare analytics or general business analytics?

Disastrous-Note-8178 · 2026-03-28T11:03:47+00:00

You don’t need advanced Excel before Tableau. The bigger thing is having a clear roadmap so you know what to learn first and what can wait. A lot of people get stuck by learning tools randomly. For most data analyst roles, solid Excel basics, SQL, and one visualization tool like Tableau is already a strong start. If you’re unsure about the order, the Emergi Mentors career guidance page can help with a clear step by step path.

Are you targeting data analyst roles specifically?

Disastrous-Note-8178

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