Data Analyst Стек: SQL, Excel, Power BI, Tableau, BI-инструменты, статистика, A/B-тестирование, сегментация Служба коммерческой и клиентской аналитики обеспечивает аналитическую поддержку ключевых бизнес-направлений Beeline Казахстан. Ищем эксперта по аналитике в команду Mobile CVM (Customer Value Managemen… Откликнуться через Runello-бот ↓ #datascience #sql #office

Channel
Data / Analytics / BI Job Offers
@runello_rus_datascience
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
12,457subscribers
+747 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001284685057 |
|---|---|
| Type | Channel |
| Username | @runello_rus_datascience |
| Description | Вакансии: Data / Analytics / BI |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/runello_rus_datascience |
Topic
Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 17:38 | 12,457 | -20 |
| 5 Nov 2026, 15:34 | 12,477 | +40 |
| 4 Nov 2026, 13:35 | 12,437 | +3 |
| 3 Nov 2026, 10:18 | 12,434 | +22 |
| 2 Nov 2026, 06:48 | 12,412 | -9 |
| 1 Nov 2026, 05:26 | 12,421 | -6 |
| 31 Oct 2026, 08:50 | 12,427 | -19 |
| 30 Oct 2026, 10:37 | 12,446 | -13 |
| 29 Oct 2026, 09:05 | 12,459 | -11 |
| 28 Oct 2026, 05:38 | 12,470 | +4 |
| 26 Oct 2026, 04:20 | 12,466 | -17 |
| 25 Oct 2026, 01:50 | 12,483 | -13 |
| 24 Oct 2026, 04:28 | 12,496 | -20 |
| 23 Oct 2026, 02:47 | 12,516 | -29 |
| 22 Oct 2026, 02:20 | 12,545 | -32 |
| 20 Oct 2026, 22:37 | 12,577 | +2 |
| 19 Oct 2026, 22:19 | 12,575 | +18 |
| 18 Oct 2026, 19:31 | 12,557 | -5 |
| 17 Oct 2026, 17:38 | 12,562 | -2 |
| 16 Oct 2026, 14:36 | 12,564 | first reading |
Engagement
201 posts held, back to 30 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.22%
- avg views ÷ 12,457 subscribers
- Avg views / post
- 152
- 40 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 40
- of 201 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.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 201 (30 July 2026 – 7 November 2026) |
| Views total | 6,086 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 07:24 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
- 57
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 7 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 40 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Аналитик данных Стек: Python, SQL, REST API, ETL, ELT, Data Visualization, Data Modeling, PostgreSQL Мы в поиске крутого специалиста для участия в реализации новых цифровых проектов в роли Аналитика данных (ИИ-направление). Задачи включают исследование источников данных, разработку ИИ-сервисов (LLM, … Откликнуться через Runello-бот ↓ #datascience #python #office
Стажер аналитик данных Грейд: Intern Стек: SQL, Data Vault, Relational Databases, ETL, Data Modeling ПАО "Банк ПСБ" входит в топ-10 крупнейших банков России и является универсальным банком с государственным участием, чья история насчитывает уже более 20 лет. Входит в десятку крупнейших банков России … Откликнуться через Runello-бот ↓ #datascience #sql #intern #office
Data Engineer Грейд: Middle Стек: SQL, Python, ETL, DWH, Greenplum, PostgreSQL, Git, Data Modeling Data Engineer в СберКорус для работы над интеграцией НПФ с ПАО через EcoData.Platform, разработкой процессов подготовки данных и созданием витрин данных. Откликнуться через Runello-бот ↓ #datascience #sql #middle #office
Аналитик данных (Data analyst) Грейд: Middle+ Стек: SQL, Python, Apache Superset, pandas, numpy, Git, Airflow, dbt Ищем Data Analyst уровня Middle+ в направление госзакупок. Основная работа: извлекать данные из SQL, выполнять расчёты и подготовку данных в Python, а результаты оформлять в отчётность и дашборды в Ap… Откликнуться через Runello-бот ↓ #datascience #sql #middle #office
Data engineer Грейд: Middle/Senior Стек: SQL, PL/pgSQL, Greenplum, Hadoop, Java, Spark, PostgreSQL, CI/CD Команда входит в состав Центра финансового оздоровления и занимается обеспечением бизнес-заказчиков данными для принятия управленческих решений. Основные цели — проектирование и разработка витрин данн… Откликнуться через Runello-бот ↓ #datascience #sql #middle #office
Middle Data Engineer Грейд: Middle Стек: Greenplum, Hadoop, Scala, Python, PySpark, SQL, Apache Spark, DWH Компания «ИЦ Ай-Теко» — ведущий российский поставщик информационных технологий и сервисов для корпоративных заказчиков — предоставляет услуги по системной интеграции, внедрению информационных систем, … Откликнуться через Runello-бот ↓ #datascience #greenplum #middle #office
Data Engineer Стек: PostgreSQL, SQL, Python, dbt Core, ETL, ELT, Apache Superset, FastAPI Команда Evrone занимается продуктовой разработкой стартапов и помогает в цифровой трансформации бизнеса в России, США и Европе. Мы занимаемся высоконагруженными, технологичными, наукоёмкими проектами … Откликнуться через Runello-бот ↓ #datascience #postgresql #remote #global
Аналитик данных в команду Авито Подработки Стек: SQL, Python, Математика, Статистика, Machine Learning, Регрессия, Классификация, A/B-тестирование Avito — это крупнейшая в Марокко онлайн-платформа объявлений, позволяющая пользователям покупать и продавать товары, автомобили, недвижимость и услуги. Откликнуться через Runello-бот ↓ #datascience #sql #remote #global
Data engineer Стек: SQL, Hadoop, Spark, Iceberg, Paimon, Kafka, Airflow, CI/CD Мы передовое ИТ подразделение, создающее дата платформу на сотни петобайт данных для крупшейнего юнита банка. Нами реализована загрузка, обработка и контроль качетсва разрозненных данных из сотен сист… Откликнуться через Runello-бот ↓ #datascience #sql #office
Аналитик данных в сфере логистики Стек: SQL, Базы данных, Хранилища данных, Системы отчетности, Windows Server, GPS-трекеры, Optimum GIS, Антор это более 40 тысяч сотрудников, которые создают лучшие цифровые сервисы и заботятся о клиентах. Мы phygital-банк: сочетаем современные технологии с физическим присутствием и живым общением. Откликнуться через Runello-бот ↓ #datascience #sql #office
Аналитик данных Стек: FMCG, Retail, Data Analysis, Data Parsing, Data Normalization, Data Transformation, Technical Writing, API Платформа для мониторинга цен в оффлайн-магазинах. Наши клиенты — федеральные сети, маркетплейсы, производители и международные корпорации. Мы помогаем компаниям управлять ценами и повышать конкуренто… Откликнуться через Runello-бот ↓ #datascience #fmcg #office
Showing the 12 most recent of 201 posts we hold for @runello_rus_datascience. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@runello_rus_webdevelopment · 24,225
Telegram ranks this channel #19 of 93 here — alongside 92 others — read 17 September 2026
@vakansii_it · 27,618
Telegram ranks this channel #70 of 88 here — alongside 87 others — read 10 September 2026
@worksvsem · 30,350
Telegram ranks this channel #86 of 86 here — alongside 85 others — read 9 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Data / Analytics / BI Job Offers” (@runello_rus_datascience), 12,457 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/runello_rus_datascience.
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.