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Channel

Data Analytics Jobs | Вакансии

@data_hr

On this record: Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Cite this entry

10,747subscribers

+23 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001269328727
TypeChannel
Username@data_hr
DescriptionКанал с вакансиями для специалистов по работе с данными: Data Analysts, Data Scientists, Data Engineers etc По поводу размещения пишите @ax_makarov. Присылайте описание вакансии с указанием контакта в TG
Created27 July 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/data_hr

Growth

10,72210,75210,7376 August 2026 — 10,724 subscribers6 August 2026 — 10,724 subscribers7 August 2026 — 10,722 subscribers8 August 2026 — 10,724 subscribers9 August 2026 — 10,728 subscribers10 August 2026 — 10,733 subscribers10 August 2026 — 10,752 subscribers12 August 2026 — 10,745 subscribers12 August 2026 — 10,747 subscribers10,7476 August 202612 August 2026
9 measurements spanning 6 days, net +23. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 10,718–10,757 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:1610,747+2
12 Aug 2026, 01:2210,745-7
10 Aug 2026, 23:5310,752+19
10 Aug 2026, 03:0210,733+5
9 Aug 2026, 03:5310,728+4
8 Aug 2026, 06:4110,724+2
7 Aug 2026, 10:0010,722-2
6 Aug 2026, 19:0010,724no change
6 Aug 2026, 18:5310,724first reading

Engagement

24 posts held, back to 2 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.6%
avg views ÷ 10,747 subscribers
Avg views / post
1,790
15 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
15
of 24 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held24 (2 July 202611 August 2026)
Views total26,787
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:46 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
164
Videos
3
Links
669

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Advertising

Ad load
8.33%
2 of 24 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,450
over 2 measured posts
Median views · rest
1,850
over 22 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqx9dY5X17 July 20267 July 2026
2W5zFJugyUD17 August 20267 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 24 most recent posts we hold, published 2 July 2026 to 11 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

11 Aug 2026, 14:55 UTC741 viewsread 13 August 2026

#вакансия #Data #Dataengineer #удаленка #fulltime 💻 Data engineer Компания: AGIMA Проект: МФК Локация: РФ Формат работы: удаленно // outstaff Занятость: full time Ставка: 200.000 - 250.000 рублей на руки Требования: • опыт работы: опыт от 2 лет опыта на аналогичной позиции • опыт проектирования потоков загрузки данных и моделирования баз данных • опыт в проектировании объектов баз данных и архитектуре хранилищ дан

11 Aug 2026, 11:36 UTC812 viewsread 13 August 2026
Photo

WE ARE HIRING: Data Engineer / Data Analyst 📍On-site | Full-time | Astana, Kazakhstan Nomad Venture Studio О компании Nomad Venture Studio - продуктовая IT-компания, которая создаёт и развивает digital-продукты в сфере образования, карьеры и фриланса. 🌐 Наш флагманский продукт - Jobescape: AI-платформа с оценкой $50M, работающая на рынках США и стран Tier-1. Мы ищем Data Engineer / Data Analyst, который поможет

10 Aug 2026, 11:30 UTC944 viewsread 13 August 2026
Forwarded from @llm_jobs

#вакансия #гибрид #vacancy AI Tech Lead (LLM) в российскую технологическую компанию. Компания рассматривает кандидатов из РФ и Беларуси З/п: обсуждается индивидуально. Формат работы: Гибрид, Офис(Москва, Санкт-Петербург, Нижний Новгород и Минск); Уровень позиции: Team Lead Стек: Python, NLP, ML, GenAI/LLM. 🔷Задачи: Разработка и настройка AI системы, базирующиеся на текстовой корпоративной информации (включая обуч

7 Aug 2026, 11:22 UTC≈1,450 viewsread 13 August 2026
Advertisementerid 2W5zFJugyUD

«Умение декомпозировать сложную метрику» Формулировка кочует из вакансии в вакансию младшего и старшего аналитиков. В действительности за ней стоит понятный навык: взять один непрозрачный бизнес-показатель и разобрать его на компоненты, каждый из которых можно измерить, повлиять и объяснить. Это karpovꓸcourses разбирают на бесплатном интенсиве «Как аналитику разобраться в сложном домене и влиять на бизнес-решения»

6 Aug 2026, 13:23 UTC≈1,510 viewsread 13 August 2026

#вакансия #systemanalyst #junior #analyst #remote 🧑‍💻 Вакансия: Junior System Analyst 💵 Вилка: 70 000 – 110 000 руб. 🏢 Формат: полная удаленка Компания: StackBridge StackBridge — IT-компания, специализирующаяся на трудоустройстве и аутстаффе IT-специалистов. Мы помогаем кандидатам выходить на внешний рынок, а компаниям — усиливать команды. Что предлагаем: Удаленная работа без привязки к офису 🏡 Стажировка 2–3 мес

5 Aug 2026, 13:02 UTC≈1,450 viewsread 13 August 2026

Аналитик в SBS Consulting. Основные обязанности: Сбор и анализ первичной информации из открытых источников по предлагаемой тематике,оказывать аналитическую поддержку и визуализировать данные, помогая консультантам воплощать предложения для клиентов максимально эффективно. Проведение статистического анализа Участие в проведении анализа рынков, финансового анализа, подготовке бизнес-планов Подготовка структурированных

31 Jul 2026, 14:52 UTC≈2,050 viewsread 13 August 2026

Вакансия HRBP/HRD 🍕О нас: Мы — франчайзи-партнер «Додо Пицца». У нас 10 действующих пиццерий и штат из ~400 сотрудников. Мы находимся в стадии активного роста и трансформации. Наша цель — не просто закрывать дыры в графиках, а выстроить AI-driven HR-систему с высокой степенью автоматизации процессов. Основные точки находятся в городе Ставрополь. 🍕 Кого мы ищем: Сильного HR-директора или HRBP, который устал от корп

30 Jul 2026, 14:28 UTC≈1,850 viewsread 13 August 2026

Позиция: Продуктовый аналитик Компания: МТС Банк Формат: Гибрид - г. Москва / Технопарк В нашем 🏦 широкая линейка продуктов 💸 для розничных и корпоративных клиентов (кредитные и дебетовые карты, инвестиции, моб.приложение и пр.) Продукты развиваются с молниеносной скоростью ⚡️ Чтобы продолжать этот рост нам нужно более глубокое понимание того, как работает продукт и как с ним взаимодействуют пользователи. У нас пр

30 Jul 2026, 13:12 UTC≈1,570 viewsread 13 August 2026

Ментор в Центральный университет Что ждем от менторов: — 3–5+ лет опыта в продуктовой аналитике или ML — Умение слушать, давать конструктивную обратную связь и задавать наводящие вопросы — Будет плюсом опыт наставничества Задачи ментора: — Разбирать карьерные и профессиональные запросы студентов — Делиться собственными опытом и кейсами — Помогать менти формулировать цели, фокусы и планы — Предлагать полезные ресур

27 Jul 2026, 09:54 UTC≈2,020 viewsread 13 August 2026

#вакансия #vacancy #job #вакансия #дата_инженер #dataengineer Data Engineer для PARI PARI — технологичная компания в сфере спортивных развлечений с высокой продуктовой культурой и data-driven подходом. Мы создаем пространство, где экспертиза превращается во влияние на продукт и бизнес. Что мы предлагаем: У нас современный технологичный офис в центре Москвы с зонами отдыха, несколькими кухнями и кинозалом с прямым

23 Jul 2026, 10:24 UTC≈2,370 viewsread 13 August 2026

#вакансия #datascientist #six_sigma #python #удаленно Гибридная вакансия на стыке Data Scientist, инженера данных и аналитика Формат: удаленный, фуллтайм Локация: РФ По всем вопросам: @Masha_UIT Требования — Уверенное владение Python, умение писать чистый и поддерживаемый код. — Опыт работы с библиотеками: - pandas; - NumPy; - scikit-learn. — Практический опыт анализа временных рядов. — Опыт визуализации данных с и

16 Jul 2026, 13:00 UTC≈2,860 viewsread 13 August 2026

🔍 Яндекс Практикум в поиске Data Science и Ml специалистов. Яндекс Практикум — сервис сервис онлайн-образования, где получают навыки для старта и роста в IT. В этом нам помогают современные технологии и команда экспертов. Мы приглашаем опытных специалистов, которые уже состоялись в профессии и теперь хотят передавать свои знания, присоединиться к курсу «ML‑инженер» в ролях: 🟢Наставника Вы будете проводит вебинары

Showing the 12 most recent of 24 posts we hold for @data_hr. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 124,066 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Analytics Jobs | Вакансии” (@data_hr), 10,747 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/data_hr.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.