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Data and Analytics

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Karunamanalan · 1d ago

inData and Analytics

what are the challenges in Real-Time & Streaming Analytics across analytical industry ?

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Ling Mei · 5d ago

inData and Analytics

I’ve been working in data analytics for a while now, but lately, I’ve been feeling burnt out. It’s hard to stay motivated when the job doesn’t feel as fulfilling as I thought it would be. How do you stay in this field long-term without burning out? It’s easy to get lost in the numbers and deadlines, and I’m starting to question if this is really what I want to do for the rest of my career. For anyone who’s been in the field for a while, how do you keep your passion and energy up?

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Krystal Lim · 3d ago

inData and Analytics

Everyone always saying data analytics is the future, but honestly, it doesn’t feel that way when all I do is generate the same reports over and over again. It’s starting to feel like I’m just copy-pasting numbers instead of actually making an impact. I thought this field would be more about insights and problem-solving, but right now, it feels like I’m just a report generator. How do I bring fresh ideas into a role that’s becoming repetitive?

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Amalia Anisa · 12d ago

inData and Analytics

Everyone talks about how “data is the future,” but nobody tells you how messy real-world data actually is. Dirty data, missing values, inconsistent formats—it’s like solving a never-ending puzzle. And don’t get me started on stakeholders who think dashboards magically generate themselves overnight. 😩 Anyone else feel like half the job is just cleaning up the mess before you can even do the actual analysis? Data people, how do you deal with this daily chaos?

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Chandrakala Katari · 4 Mar 2025

inData and Analytics

Working in data analytics is not just about crunching numbers but it’s also about managing "smart" people. Ever had a manager ask for insights, but only if the numbers make them look good? Or colleagues who think data analytics is just making fancy charts in Excel? Then there’s the classic struggle.. Spending hours cleaning messy data, only for someone to question why it "doesn’t match their gut feeling." How do you handle people who don’t get data but still argue with you?

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Glenn Zhu · 18 Feb 2025

inData and Analytics

Saw many job postings offering around the same or even less than what I earning rn. My current salary is around SGD6.5K. Feels like the market is either getting too saturated or companies are cutting back on pay. A few years ago, this was a “hot” field, but now I’m not so sure anymore...

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Suraya · 7 Feb 2025

inData and Analytics

I’ve been thinking of making a complete switch. maybe teaching? I enjoy explaining concepts, mentoring juniors, and making data more accessible. But moving from a technical role to education feels like a huge leap. Anyone here transitioned from corporate to teaching? How was the pay, work-life balance, and overall experience?

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Joseph · 31 Jan 2025

inData and Analytics

I heard lot about the demand for data centre jobs in Sg lately. The pay is said to be pretty good, but how true is that? For roles like technicians, engineers, or even operations staff, what’s the usual salary range like? And does it actually match the workload + odd hours that often come with the job? Curious if anyone here is working in something related to this

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Olivia · 27 Jan 2025

inData and Analytics

I’m working on my data portfolio to break into analytics, but I’m stuck on what kind of projects really impress hiring managers. I’ve read that having one is key, but should I focus on solving real-world business problems, building cool dashboards, or exploring unique datasets? Also, how do you make your portfolio stand out? I’m piecing mine together bit by bit and would love tips from those who’ve been through this. What worked for you when you landed your first data job? 😊

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Olivia · 17 Jan 2025

inData and Analytics

the biggest challenge I face is dealing with the overwhelming amount of data that often needs to be cleaned, organized, and analyzed in a limited time frame. There’s always pressure to deliver insights quickly, but the quality of the data is often inconsistent. Also, translating complex data into something easily understandable for non-technical teams can be tricky. Anyone else in data analytics feel the same? How do you manage the constant juggling of tasks and expectations?

2 likes1 comments