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Data Analyst uchun interview savollari

Asosan shu savollari suraladi ko'p interviewlarda

Sizga yana qanday savollar tushgan qiziqroq? 👇

@jasur_sharofiddinov

Nega Data Analyst uchun yaxshi communication ko‘nikmalari muhim?

Data analyst faqat raqamlar bilan ishlamaydi - u natijalarni boshqalarga tushunarli qilib yetkazish uchun ham javobgardir, buning uchun alohida hodim bo'lmaydi sizga))

- Savol so'rash: Data analyst uchun muhim ko‘nikmalardan biri bu kerakli ma’lumotlarni olish va business caselarni tog'ri tushunish uchun to‘g‘ri savollarni berishdir. Mavhum narsalardan aniq bir narsa chiqishi qiyin

-Hamkorlik: Jamoada boshqa soha mutaxassislari(backend, data engineer, bi engineer...) bilan ishlashga majbur bo'lasiz, chunki malumot sizga o'zidan o'zi kelib qolmaydi, business uchun kerakli malumotni backend orqali topib va malumot logikasini tushunib, data engineerlar orqali sizga yetib kelishi uchun o'ziz harakat qilasiz

- Ma'lumotlarni taqdim etish: Murakkab ma'lumotlarni, business strategiyalarni, visualizatsiyalarni oddiy va tushunarli qilib tushuntirish juda muhim. Chunki jamoa qarorlar qabul qilishda aynan sizning tahlilingizga tayanadi, aynan qaror qabul qilish uchun esa ular sizni ishingizni yaxshi tushuna olishi kerak

- Ishontira olish: Endi hamma narsa hal bo'ldi, business sizni tahlillaringizga qarab qaror chiqarishiga ham ishontira olishingiz kerak, bu esa eng qiyin joylaridan biri sizga aytsam, chunki sizni xato tahlillaringiz sabab business ortiqcha resource ishlatishni hohlamaydi, shu sababdan qilgan ishingizga kimnidur ishontira olish ham bu bir sanat😁

Ma'lumotni tahlil qilish - bu birinchi qadam. Uni boshqalarga tushunarli qilib yetkazish esa bazida undan qiyinroq va lekin muhim qadam💡

Sharing is caring 🤝

@jasur_sharofiddinov

The power of visualization: Turning data into Insight ✨

What I like about perfect visualization is that u can understand what is goin on, identify areas that need improvement, or resources that might be reduced.

I believe every business should have their end-to-end process visualized in a clear and actionable way.

This not only shows transparency but also help teams to make data-driven decisions, optimize workflows, and achieve strategic goals more effectively

PS. I really liked this visual of Netflix income statement in this way, it shows perfectly how their income is distributed

@jasur_sharofiddinov

Ertalab kech uyg‘onibman. Budilnik tinmay chalib, boshimni garang qildi.

Miyyamda esa nimadir g‘alati fikrlar kelardi?, soatga SQL JOIN qilib, hayotimdagi vaqtlarni, umuman nimagadur bog‘lashim kerak, nima qilsam ekan deb o'zimcha tushunib bo'lmaydigan muammo yaratib, uni yechishga harakat qilibman))

#out_ot_topic

Assalamu alekum, kvartiraga bir kishi sherik qidirayotgan edik.

Maksim gorkiy/Ekobozor tarafda

Foydasi tegishi mumkin bo'lgan odamga jo'natib qo'ysangiz hursand bo'lar edim?

Ps. Sheriklar dasturchilar)

@jasurbeksharofiddinov ga yozishingiz mumkin

We Pythonists can't always be proud of every choice we've made in our lives?

@jasur_sharofiddinov

Girls: Boys dont have loyalty

In reality boys ?

Elliott Hill, started workin as intern and has been workin for more than 30 years, recenty has become President and CEO of the company Nike

Loyalty pays off, "sometimes"))