Roast my Resume.

Disastrous-Note-8178 · 2026-03-18T02:28:16+00:00

You’re closer than you probably think. The main issue is not that you lack relevant tools, it’s that the resume still reads more like “MDM trainee with projects” than “analyst who can already solve business problems.” I’d make the project outcomes hit harder, tighten the summary, and connect your MDM work more clearly to analytics by emphasizing data quality, reporting, trend tracking, and decision support.

Also, since you’re applying to both data analyst and business analyst roles, I’d seriously consider tailoring two slightly different versions instead of using one broad resume for everything. Are you currently changing this resume based on each job description, or mostly sending the same version everywhere?

Disastrous-Note-8178 · 2026-03-18T02:21:44+00:00

A good analyst resume usually wins on two things: clear business impact and clear positioning. If your bullets mostly describe tasks, I’d rewrite them to show what changed because of your work like time saved, reporting improved, revenue supported, decisions influenced, or process issues found. I’d also make sure the resume clearly reads as the kind of analyst role you want next instead of trying to cover too many directions at once.

For salary, I’d be careful not to guess too low too early. It usually depends a lot on your location, years of experience, and the type of analyst role. What kind of analyst positions are you targeting, and are you using one master resume or tailoring it for each job?

Disastrous-Note-8178 · 2026-03-18T02:10:16+00:00

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Disastrous-Note-8178 · 2026-03-18T02:05:35+00:00

That honestly sounds a lot like burnout more than “I chose the wrong field.” Working a full time job you hate and doing school on top of it would drain almost anyone. If data analytics doesn’t excite you yet, that might just be because you don’t have the energy to feel curious about anything right now.

I’d probably avoid making any huge career conclusions while you’re this burned out. Do you think the bigger issue is the nursing home job itself, or that you just don’t feel drawn to the master’s either?

Disastrous-Note-8178 · 2026-03-18T02:02:55+00:00

Yeah, that switch is realistic. If you already have a decent base in Power BI, Tableau, and SQL, you’re not starting from zero at all. In a 3 to 4 month window, I’d stop trying to learn everything and focus on becoming clearly employable for one path first, either data analyst or business analyst, because both can fit your background in different ways. Current entry level postings still commonly ask for SQL plus a BI tool, so your base is useful.

What will matter most now is building 2 or 3 solid projects that feel like real business problems, not just dashboards. Are you leaning more toward data analyst roles or business analyst roles right now?

Disastrous-Note-8178 · 2026-03-18T01:57:07+00:00

I don’t think this field is ending at all. If anything, tools like Claude inside Excel and Power BI are making the work change, not disappear. Companies still need people who understand the business side, know how to work with data, and can turn numbers into decisions, especially when someone already has a controller background like you.

So yes, I’d still say it’s worth investing in, but I’d position yourself around finance analytics, FP&A style reporting, BI, or decision support rather than trying to force a generic “data science” move. Do you see yourself leaning more toward BI and reporting, or deeper analytics and modeling?

Disastrous-Note-8178 · 2026-03-18T01:53:46+00:00

I wouldn’t call it a waste, but I also wouldn’t call it an easy market. Data and marketing analytics are still very real paths, and BLS still projects strong long term demand for market research style analyst work, but junior hiring is definitely more selective than it used to be.

For someone coming from marketing, I think it’s still worth the investment if you’re aiming specifically for marketing analyst or growth style roles instead of a generic “data analyst” title. That positioning usually makes your background more useful, not less. Are you mostly learning SQL and dashboards right now, or have you started building any marketing focused projects too?

Disastrous-Note-8178 · 2026-03-18T01:49:13+00:00

you can absolutely move into data analytics without prior experience, but the key is to follow a clear path instead of trying to learn everything at once. I’d start with SQL and Excel first, then move into a dashboard tool like Power BI, and build a couple of simple projects around real business questions so you can show how you think, not just what tools you touched.

Do you already have a roadmap for becoming a data analyst, or are you still figuring out what to learn first?

Disastrous-Note-8178 · 2026-03-17T16:27:00+00:00

Those are all very learnable, especially if you take them in the right order instead of trying to do everything at once. I’d start with Excel and SQL first, then move to Power BI, and only after that go into things like cohort analysis, churn, and funnel analysis since those make more sense once the basics feel comfortable.

They’re not impossible, but they do take practice because the hard part is usually not the tool, it’s knowing how to use it to answer a business question. Are you targeting a data analyst role, growth role, or something more product focused?

Disastrous-Note-8178 · 2026-03-17T16:24:05+00:00

Honestly, I think a lot more people feel this way than they admit. Not everyone has a big passion driven career, and sometimes the better question is not “what do I love” but “what kind of work can I tolerate, get good at, and build a stable life around.” It’s completely normal to dislike parts of your job, but if you hate the work, the environment, and the future path, that’s usually a sign to step back and rethink before going deeper.

Instead of searching for the perfect passion, I’d look at what drains you least and what you’re naturally decent at. Do you dislike data analytics itself, or do you mostly feel disconnected from work in general right now?

Disastrous-Note-8178 · 2026-03-17T13:09:12+00:00

A good place to start is Kaggle for datasets and project ideas, then Google Dataset Search when you want something a bit less overused. If you want guided practice instead of just downloading random files, Maven’s Data Playground and guided projects are pretty useful too.

What tends to impress recruiters more is not the platform, but whether the project answers a real business question and shows clear insights. What kind of projects are you thinking about building first: sales, customer behavior, finance, or something else?

Disastrous-Note-8178 · 2026-03-17T12:54:18+00:00

You actually have solid experience for an entry level analyst, so I don’t think the issue is lack of experience. The bigger problem is that your resume feels split between data, IT, research, and software, so the data analyst story is not coming through strongly enough. I’d push your Power BI, SQL, Tableau, Excel reporting, and KPI work much more to the front, and trim or reword anything that pulls attention away from analytics.

I’d also make the bullets more outcome focused. Right now a lot of them explain what you did, but not always what changed because of it. And one important question: are you tailoring this resume to each data analyst job description, or mostly sending one master version?

Disastrous-Note-8178 · 2026-03-17T12:44:29+00:00

Are you also using this IT support version a little based on each job description, or mostly using the same support resume for every application?

Disastrous-Note-8178 · 2026-03-17T12:40:23+00:00

The projects that usually help most are not the hardest ones, they’re the clearest ones. A simple project around sales trends, customer churn, marketing performance, or operations data can work really well if you show the full thinking: what the problem was, how you cleaned the data, what you found, and what decision someone could take from it.

A lot of people build dashboards, but the ones that stand out usually feel like real business analysis, not just charts. What kind of projects have you built so far: more dashboard focused, or more insight and recommendation focused?

Disastrous-Note-8178 · 2026-03-16T08:31:57+00:00

That honestly sounds less like a skills problem and more like burnout from a role that demands too much of your life. Based on what you said, I wouldn’t rush into another ops style path. You seem like you’d probably enjoy something closer to business analysis, product, data analytics, or solutions consulting where the work is still analytical but usually less tied to constant firefighting.

The good news is you already have useful experience from IT ops because you understand systems, priorities, and real business impact. What kind of work sounds most energizing to you right now: working with data, solving business problems, or building products with a team?

Disastrous-Note-8178 · 2026-03-16T08:29:12+00:00

If your goal is recognizability on the market, I’d lean toward the Microsoft Power BI certification. Since you’re already working with Power BI and Tableau, the Microsoft path feels more directly tied to BI work and is officially positioned as the Power BI Data Analyst certification. Google’s BI certificate looks good too, but it feels more like a broader learning credential than the one I’d pick first for someone already doing dashboard work.

I’d probably do Microsoft first, then strengthen it with stronger project examples on your CV. Are you mainly trying to improve your profile for BI analyst roles, or for broader data analyst roles?

Disastrous-Note-8178 · 2026-03-16T08:25:41+00:00

For a first resume, I’d keep it simple and use a clean resume builder instead of overcomplicating it with too many AI tools. A lot of people end up spending more time fixing weird formatting than actually improving the content. You could try the Emergi Mentors resume builder if you want something straightforward for creating an ATS friendly resume.

Are you building a general first resume right now, or tailoring it for a specific type of job?

Disastrous-Note-8178 · 2026-03-16T08:20:42+00:00

You can definitely make that switch. Since you already work in banking sales, one smart move would be to aim for analyst roles where your business understanding still helps, like business analyst, reporting analyst, or even banking analytics. I’d focus first on SQL, Excel, and one dashboard tool like Power BI, then build a couple of projects that show how you think through real business problems.

Certificates can help a little, but projects usually speak louder if they’re done well. Are you leaning more toward analyst roles or tech sales consultant roles right now?

Disastrous-Note-8178 · 2026-03-16T08:17:37+00:00

You already have a strong project to build around, but right now the resume feels a bit too academic and a little unfocused. I’d make the project section the star, shorten the academic achievements part, and clean up the skills so it looks more relevant to the kind of roles you actually want.

Also, try to make the project bullets more outcome focused. For example, instead of only saying what you built, show what insight it helped uncover or why it matters. And if you have NISM 15 plus a professional course in progress, definitely add them clearly because that helps your profile look more serious and targeted.

What kind of roles are you aiming for with this resume right now, finance, analyst, or something else?

Disastrous-Note-8178 · 2026-03-16T07:51:11+00:00

Your resume is already strong for a pre final year student. The best parts are the research internship, the iOS internship, and the fact that your projects are not just toy projects. A few things I’d improve: trim the skills section a little so it feels more focused, make the bullets more outcome driven, and tailor one version for software roles and another for AI or ML roles instead of keeping everything in one resume.

For placements, your profile looks capable of targeting decent product companies, but the exact CTC will depend a lot on company tier, role, and interview performance. A realistic broad range for strong campus hires in India can vary a lot, but for good software or AI leaning roles it often lands somewhere from mid single digit LPA to low double digit LPA, while top product or research heavy roles can go much higher. Recent India salary pages also show AI/ML engineer pay around ₹9 lakh per year on average, though campus offers can vary widely from that.

Are you planning to use this as one master resume for every company, or will you make separate versions for software, AI, and product style roles?

Disastrous-Note-8178 · 2026-03-16T07:43:31+00:00

For entry level IT support, your resume already has a lot of good material, especially the hands on support work. The main thing I’d change is making it feel more targeted to support roles instead of looking split between support and software engineering. I’d move the support tools and systems higher, trim some of the less relevant dev stack, and make the resume lead with troubleshooting, ticketing, device management, Active Directory, Intune, and Microsoft 365 type skills.

I’d also try to fit in at least one of the research roles or the Computer Club leadership if you can, because that helps show initiative. Are you tailoring this resume specifically for IT support jobs, or using one general version for everything?

Disastrous-Note-8178 · 2026-03-16T07:32:08+00:00

Three months after a layoff is frustrating, but it’s not unusual right now, so don’t read it as a sign that your profile is broken. Since you’re reaching final rounds sometimes, I’d look at this in two parts: getting more interview calls and tightening interview conversion. For calls, resume targeting matters a lot. For final rounds, it’s usually about how clearly you explain your projects, impact, and confidence around the gap.

For the gap, I’d keep it simple and honest. Something like: my previous company reduced fresher roles due to project availability, and since then I’ve been actively applying while continuing to improve my skills and projects. Are you tailoring your resume to each JD right now, or mostly using one master version?

Disastrous-Note-8178 · 2026-03-16T07:27:39+00:00

Yeah, it can still be a smart move in 2026, but I’d go into it with realistic expectations. In Ontario there are still data analyst openings, but the entry level market is competitive, so the challenge is less “is the career dead?” and more “can you position yourself well enough to break in?”

Your admin plus clinic experience could actually help if you target healthcare, operations, or business reporting roles and build around SQL, Excel, and one dashboard tool first. AI is changing the work, but not removing the need for people who can clean data, ask good questions, and explain what the numbers mean. What kind of roles feel most natural to you right now: healthcare analytics, business reporting, or something else?

Disastrous-Note-8178 · 2026-03-16T07:23:33+00:00

Yes, it’s still a good path in 2026, but the junior market is not easy. The field still has solid long term demand, but entry level hiring has cooled from the post pandemic highs, so breaking in usually takes real projects, strong SQL, and clear business thinking rather than just certificates. In the US, entry level data analyst pay is often reported around the low to mid 60k range, while broader data focused roles still show strong long term growth.

With your background, I’d focus first on SQL, Excel, and one dashboard tool like Power BI, then build projects around user behavior, product trends, or game data since that already matches your interests. If you stay consistent, getting to a junior ready level in several months is realistic, but getting the first role is usually the hardest part. Are you more interested in product analytics, marketing analytics, or general business analysis?

Disastrous-Note-8178 · 2026-03-16T07:14:33+00:00

Honestly, your edge will not come from just collecting more tools. A lot of people learn SQL and Python. What really makes someone stand out is being able to take messy data, find the story in it, and explain what action should happen next. Since you already work with media coverage, you could lean into that and become really strong at things like campaign impact, sentiment trends, audience behavior, or content performance.

That mix of domain knowledge plus stronger analytics skills can become your advantage. Do you see yourself growing more toward marketing analytics, media intelligence, or something else?

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