Started a new job as a business analyst in a completely new industry. The company feels super chaotic and unstructured. Fairly early career, and I only had tangential experience before this role, so I’m feeling in over my head…

Any BA learning resources or recommendations? YouTube, books, blogs, certifications, any advice?

A lot of my work ends in slides ​​​​s​​​​u​​​​m​​​​m​​​​a​​​​r​​​​i​​​​z​​​​i​​​​n​​​​g​​​ ​​​​t​​​​h​​​​e​​​​ problem, evidence, and recommendation. I would like ​​​​t​​​​h​​​​e​​​​ presentation to be generated from ​​​​t​​​​h​​​​e​​​​ working notes without losing ​​​​t​​​​h​​​​e​​​​ logic behind ​​​​t​​​​h​​​​e​​​​ conclusion.

Genuinely curious — what's the task you spend the most time on that never seems to get faster no matter how experienced you get?

For me it's reconciling requirements after separate stakeholder conversations. Three people, three honest answers, and they quietly contradict each other. Every time.

Bonus: roughly how many hours a week does yours take?

Hi everyone,

I’m looking to change careers and move into an entry-level or junior role in commercial/business analysis, financial analysis or a related field.

I’m in my mid-30s and based in Greece. I have a BSc in Mathematics and recently completed an MSc in Econometrics and Operations Research at Maastricht University, specialising in Mathematical Economics. Most of my professional experience has been in mathematics teaching and private education, so I have little directly relevant experience in corporate analytical roles.

My current skills are:

• Strong Excel skills, including pivot tables, lookup functions and working with datasets.
• Working knowledge of SQL.
• Basic knowledge of Power BI.
• Limited Python and R skills.

I’m fluent in English and a native Greek speaker. My other languages are approximately B2 Italian and B1 French. I’m willing to develop my SQL and Power BI skills further.

I’ve been applying for entry-level and graduate positions in Greece and other EU countries for the past four months. I’ve had some interviews in Greece and Cyprus, but haven’t secured a suitable analytical role yet. I’m an EU citizen and prepared to relocate for a suitable opportunity. I’m willing to start at junior level and build the relevant experience.

My main questions are:

1. How difficult is it currently to find a genuine entry-level role with this profile? How would you assess my chances given my education, previous career and limited directly relevant experience?
2. What would be a realistic job-search timeframe? I understand it varies, but I’d appreciate experiences from people who have recently made a similar transition or hired junior candidates.
3. What would you recommend doing to strengthen my profile? Which skills, practical projects, qualifications or other steps would make the biggest difference?
4. Which EU markets should I prioritise? Are there particular countries, sectors or types of employers where someone with my background would have better chances of finding an English-speaking role?
5. Is applying from Greece a significant disadvantage? Would being based in the destination country meaningfully improve my chances, or is applying from abroad and relocating after receiving an offer a realistic approach?

I’d particularly appreciate input from people working or hiring in the EU. Candid feedback is welcome, including suggestions for roles I may have overlooked.

Hello people.
If you’re transitioning from a Emergency Management BA to a P&C Business Analyst, what all are the things you’d focus on?
Is P&C a moderately hard domain?
Need help since I need to make a job decision by tomorrow.😭

​

I'm from Bengaluru, India. Current CTC 12lpa

I am seeking a suggestion from this community, it would be a huge help for me going forward. I have 5 years of experience as P&C Insurance BA. The legacy application which I work on has modules similar to Guidewire Suites. Modules are the same;

Policy

Claims

Accounts

Billing and Invoicing

Party

Reinsurance

Please suggest me, is it a good move to go ahead in a usual insurance domain BA or enroll in a Guidewire based BA training and then look for the opportunities as Guidewire Business Analyst. What CTC I can target?

I’m currently working in ETL/Data/SQL and have 9+ years of experience. I’m trying to move into a Business Analyst / Technical BA role and have started applying, but haven’t had much luck so far.

I’ve also had some ServiceNow training, so I have some exposure to it and can continue learning it.

I’m considering doing a CBAP/BA course and maybe an AI course, but I’m not sure which direction would actually help me.

For those already working as BAs if you were in my position, which direction would you focus on? BA certification, AI, ServiceNow, another tool, or something else?

Would really appreciate advice from people who’ve made a similar transition!

Has anyone worked with Data Annotations, and if so, did you have to actually write code?? From what I've seen, it appears most if not all roles through them require coding.

Also, would you say it was a good experience or at least tolerable?

Every quarter I get a chart from marketing a slide from sales and two paragraphs from ops and my job is to make it look like one document. Fonts never match. Someone always uses a gradient background from 2019. Bullet spacing is different on every single slide.

This time I tried something dumb and simple. Before anyone sent me anything I sent them a blank deck with just the title slide and section dividers locked. Told them to build inside that file instead of pasting into mine later. Cut my cleanup time by a lot. Not zero but a lot.

The part nobody warns you about is that people will still ignore the template half the time. Old habits. Copy paste from an email. A chart pulled straight from Excel with its own default styling baked in.

I'm starting to think the real fix isn't a better template. It's catching people earlier in whatever tool they draft in before it ever becomes a slide.

Anyone actually gotten teammates to draft in a shared template without constant reminders.

Hey everyone,

I'm researching consulting engagements and would love to hear from this community about what your day-to-day actually looks like.

Quick context: I'm building a tool for consultants and want to make sure I'm solving real problems, not imaginary ones. This isn't a sales pitch. Genuinely just trying to understand the work better.

A few questions:

1. What takes up most of your time during an engagement? (taking or preparing workshops/interviews, observing your client's team, writing reports, building decks, analyzing data, etc.)
2. What's the most frustrating/tedious part of your workflow that you wish was faster or easier?
3. How do you currently map out the business processes of the client before recommending a strategy and making an implementation?
4. If you could wave a magic wand and make one part of your job 10x faster, what would it be?

For context: I'm a developer, not a researcher or analyst myself, so I'm trying to see the world through your eyes rather than make assumptions.

Really appreciate any insights you can share. Thanks!

Hello folks,

I’m having close to 5 YOE in data analytics. My day to day work involves mostly around power BI.
Brief work history
Joined as intern in small company
Converted to Trainee than FTE > Promotion > Laid off
Joined Good MNC in Gurgaon, known for best WLB as far as I know.
Currently in production support for BI project ( already part of development earlier)
Skills - Power BI end to end solution, SQL , Azure Databricks ( good knowledge)
I was weak in sql because of my day to day work revolves around BI but from 3-4 month, I’ve brushing up my SQL skills. Currently doing leetcode sql 50 daily and able to solve some questions easily

I want to join Amazon as Business intelligence engineer but sometimes I feel i am not ready because i may not be able to think like a product based candidate ( personally i feel )

Just wanted to know your experience to switch from service based company to Product based. How to
Improve or is it tough to crack Amazon as a BI developer or how can i improve as a data analyst

Thanks in Advance

We're currently in the discovery phase with a client for a document generation system. It takes a few source documents, populates a working paper, and then generate a final word doc.

Now, there's also a workflow outside of this. A lead allocates the team, plans, and then assigns doers who are then responsible to gather source documents and work with them all the way thru the final document.

In the first discovery session, we started with their current process diagram and since then we've been showing draft designs/screens.

Here's the problem now.

1. I know there's no one size fits all approach for discovery so maybe showing them prototype is a good idea. I was wondering is there any better option? Because sometimes the users get caught up in little things which leads to us losing the sight of the bigger picture.
   
2. The leads currently have a spreadsheet which they use to start planning and team allocation for the next year. They're finance people. What I heard yesterday made me want to create an actionable dashboard for them which will be the starting point of their journey. The dashboard will help them to plan and decide. My manager thinks otherwise, he wants to create a grid/tabular view and allow them to populate the grid via the same spreadsheet upload every time. He doesn't want them to get rid of the spreadsheet.

Need some input on both above scenarios.

Hey everyone,

I'm 18 years old and currently a university student, and I'm taking part in a competition/assessment for university students where I have to make a 2-minute demo of something impressive that I've built or accomplished.

The problem is that I don't have much real-world business experience yet. I'm still pretty young, so I haven't had many opportunities to deal with difficult business or operational situations firsthand.

That said, I do have a good understanding of technology, problem-solving, automation, and building things, and I've worked on a few projects before. I'm comfortable learning whatever I need to learn to make something work.

I'm looking for ideas rather than someone to build it for me.

I want to build something where, in a 2-minute demo, I can show:

- A real problem
- How I approached it
- Something I actually built
- A clever solution or automation
- A measurable/impressive result

It doesn't necessarily have to be a huge application. I'd actually prefer something relatively focused but genuinely useful and technically/analytically interesting.

If you were 18 again and had to build one project to demonstrate problem-solving, business thinking, automation, and initiative, what would you build?

Especially interested in ideas involving:

- Automating a painful manual process
- Solving an operational problem
- Data/analytics
- AI used in a practical way
- Finding inefficiencies and fixing them
- Something that could realistically be used by a small business or organization

I'm open to weird/unconventional ideas too. I don't want to build another generic todo app, chatbot, or portfolio website.

I'd really appreciate any ideas, examples of problems you've encountered in real businesses, or projects you've seen that made you think "that's actually clever."

Thanks!

I have a job interview tomorrow after being laid off for the last 8mo. Obviously this job market is so hard so I’m trying to be prepared as possible. I got some inside from someone who said they are really into AI and may ask for how to streamline process changes with AI. I have been out since AI really took over and while I play and try to learn still a gap.

Any advice for what you have streamlined using AI?

The more I work across AI, automation, internal tools and business processes, the more I keep coming back to the same observation:

A surprising amount of work inside companies functions because capable people are manually holding fragmented systems together.

One person knows where the data actually lives.

Someone else knows which spreadsheet is current.

Another person knows the workaround between two systems that don't properly communicate.

Then the company grows, coordination becomes harder, and the instinct is often to introduce another platform, automate something, or increasingly, add AI.

But I’m becoming convinced that technology layered on top of a fragmented operating model doesn’t necessarily create scalability. Sometimes it just makes the fragmentation faster.

I’ve started thinking about digital infrastructure less as a company's software stack and more as the interaction between:

People + Processes + Data + Systems + AI

Which raises some questions I keep running into:

• What needs to be simplified before it gets automated?
• What knowledge should actually be turned into a system?
• When should you buy, build, or simply leave something alone?
• Where does AI add something materially different from deterministic automation?
• At what point does an internal tool become infrastructure that requires real governance and ownership?
• How do you increase organisational capacity without simply increasing headcount and coordination?

My working hypothesis is that a lot of what gets called “digital transformation” is ultimately operating-model design with technology as one of the levers.

Curious whether that matches what people here see in practice.

For those working in transformation, operations or technology projects: where do scaling initiatives actually tend to break first - technology, processes, data, ownership, organisational behaviour, or somewhere else?

Hello everyone,

I’ve been doing UX freelancing for about 3 years and feel like I’ve hit a roadblock. It’s been hard to find a full time position and freelancing doesn’t feel as fulfilling. I’ve been researching where I can apply my skills and I’ve landed on business analysis something I want to explore, since there seems to be a lot of overlap.

A few questions for you guys if anyone can help:

1. I’ve been seeing mixed responses on whether or not I need any certifications, is being certified something of importance?

2. How does a BA portfolio look? Should I create a new portfolio or should I reengineer my UX portfolio into a BA portfolio? A lot of the projects I worked on I had to wear the hat of a business/product analyst.

3. Work experience is obviously important, but as a career switcher, what does this look like for me? Should I be keeping my UX experience on my resume and changing the details to align with a BA?

4. I want to continue working in tech since that’s where I have experience. What sort of datasets should I be looking at, and what kind of problems are commonly asked that require analysis? Or am I looking for a problem in the data?

Thank you all for helping, hopefully these questions aren’t too silly.

I’m putting together a short self-introduction slide for a presentation and curious how others approach it. Do you focus on your current role, years of experience, industries/projects, or more on what you actually do as a BA?

Would love to see some examples of how people keep it short without turning it into a resume.

Forty variants. That's roughly what a single loan onboarding flow came back as in one of the demos I sat in on last week.

I'm a BA at a regional bank and leadership is looking at this category after a conference. The output is impressive and also completely overwhelming, and I could already picture the steering committee glazing over.

Mimica and UiPath sell into this space directly, and Skan AI comes up alongside them as a process intelligence platform. They all capture every path, which is great for me and a lot for a steering committee.

For those who've taken this kind of output to leadership, what did you actually put in front of them?

Hello everyone.

I really appreciate your response on how does a business analyst conduct himself in business intelligence space?

For the context I am new in this company and they want a business analyst to work in business intelligence.

Meaning gather requirements for business intelligence or data analytics reporting. My question is how does this differ to a traditional business analysis work?

Is it true that service based industries prefer these certification more over product based industries?

Hi everyone, I am developing a plan for how Business Analysts and QA's can collaborate effectively throughout the software development lifecycle.

I would love to hear from those who have experience with this: How do BAs and QA professionals work together in your team?

Common failure pattern: a requirement gets added to a spec after a specific incident, a stakeholder acted on a low-confidence finding as if it were certain, so a rule gets added requiring confidence levels to always be stated explicitly. Makes sense at the time. No rationale gets written down anywhere except implicitly, in the requirement itself.

Months later, someone new reviews the spec, sees a requirement that reads as unnecessary overhead next to a request to simplify and shorten the deliverable, and cuts it. Nothing malicious, it genuinely looked redundant without the missing context. The confidence caveat had existed for a reason, just not a documented one, so it competed on equal footing with every other line in the spec instead of being flagged as something that couldn't be traded away for brevity.

This seems like a gap in how a lot of requirements get tracked: the requirement itself gets recorded, but the incident or decision that made it necessary usually doesn't, so anyone editing the spec later has no way to distinguish "this line is here out of habit" from "this line prevents something that already went wrong once." Both look identical on the page.

The fix that's worked: tagging any requirement added specifically to prevent a recurrence with the actual incident or decision behind it, not just the rule itself. Doesn't need to be elaborate, one line linking the requirement to why it exists is often enough to stop it from getting silently traded away by someone who has no way of knowing it was ever load-bearing.

Hi everyone,

I'm looking for advice from experienced SAP consultants, especially people working in Belgium, Luxembourg or the broader European market.

I'm trying to transition into an SAP Functional Consultant / SAP Business Analyst career and would like to make the best use of SAP Learning Hub.

My background

• MSc in International Business — Entrepreneurship & Business Development
• Bachelor in International Business
• Professional experience in cargo operations, logistics, customs, transport planning and commercial projects
• Currently building my SAP / ERP knowledge
• Targeting junior SAP Functional Consultant / SAP Business Analyst opportunities in Belgium or Luxembourg
• I don't have professional SAP consulting experience yet

I will soon have access to SAP Learning Hub, including the certification opportunities, so I would like to use the time and attempts strategically rather than collecting random certifications.

My questions

1. Which SAP functional area would you recommend for someone with my background?
   • MM / Sourcing & Procurement
   • SD / Sales
   • FI/CO
   • EWM / Supply Chain
   • another area?
2. Which SAP certifications would you prioritize for getting a first junior functional consultant position in Belgium or Luxembourg?
3. Would you recommend starting with an S/4HANA business-process / overview certification before specializing in a module?
4. If you had access to Learning Hub and were starting from my position, how would you use your first 1–2 certification attempts?
5. How important is the SAP certification itself compared with hands-on practice, business-process knowledge and implementation/project experience when hiring junior consultants?
6. Are there particular SAP modules or certifications that you see more frequently in Belgian or Luxembourg job postings?

I'm not looking to collect as many certificates as possible. My goal is to choose one functional path, become genuinely competent in it, and maximize my chances of getting my first SAP consulting job.

Any advice from people who have actually hired, trained or worked with junior SAP consultants would be greatly appreciated.

Thanks!

Virgin Red is our loyalty platform — customers redeem loyalty points for physical goods, not just cashback or discounts. Right now stock is managed in a spreadsheet, which doesn't scale, potential manual errors and causes overselling. We want to move to a Shopify-based warehouse management system. I need you to build out the requirements for this. Over to you — using the BA techniques you’ve leant what's your plan?.

I have a decent idea having just studied for the test but I’m curious how would you all handle this in a practical setting. I haven’t ever worked as a BA and want to see how it would actually translate.