Data Analyst Interview Resources
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Сеть:📈 Аналитический обзор Telegram-канала Data Analyst Interview Resources
Канал Data Analyst Interview Resources (@dataanalystinterview) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 52 611 подписчиков, занимая 3 250 место в категории Образование и 6 703 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 52 611 подписчиков.
Согласно последним данным от 28 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 18, а за последние 24 часа — -7, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.94%. В первые 24 часа после публикации контент обычно набирает 0.83% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 019 просмотров. В течение первых суток публикация набирает 435 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как sql, row, |--, dataset, visualization.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! 📊
For ads & suggestions: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 29 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
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🚀 Trader’s Assistant (India, Part-Time)
💰 $800–$2,000/mo |
⏰ 3–4h/day |
🌐 Remote
💵 Bi-weekly payouts (bank/crypto)
🎓 3-day onboarding
🤝 Work alongside a senior manager
Req: 🇮🇳 Indian citizen, 25+, 🗣️ English B1+
Apply: / @aria_lewis_hr
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🧑💼 Interviewer: What's the difference between RANK() and DENSE_RANK() in SQL?
👨💻 Me: Here's a quick example using salaries:
SELECT name, department, salary,
RANK() OVER (ORDER BY salary DESC) AS rank_salary,
DENSE_RANK() OVER (ORDER BY salary DESC) AS dense_rank_salary
FROM employees;
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✅ How much Power BI is enough to crack a Data Analyst Interview? 📊💡
📌 Basic Power BI Skills
⦁ Connecting to Excel, CSV, SQL, and other data sources
⦁ Understanding Power BI Desktop interface
⦁ Importing & transforming data with Power Query
🔍 Data Modeling
⦁ Relationships: One-to-Many, Many-to-Many
⦁ Primary & foreign keys
⦁ Star schema vs Snowflake schema
📊 Dashboard & Visualization
⦁ Bar, Line, Pie, Donut, Combo charts
⦁ Cards, KPIs, slicers, and filters
⦁ Drill-through & tooltips
🧮 DAX and DQL Functions
⦁ SUM, AVERAGE, COUNTROWS, CALCULATE
⦁ FILTER, ALL, RELATED, IF, SWITCH
⦁ Time Intelligence: TOTALYTD, SAMEPERIODLASTYEAR
🧩 Data Cleaning & Transformation
⦁ Remove duplicates, split columns
⦁ Merge queries, append tables
⦁ Handling missing or inconsistent data
⚙️ Advanced Tips
⦁ Bookmarks & Buttons for interactive dashboards
⦁ Row-level security
⦁ Publishing to Power BI Service & sharing reports
💼 Practical Scenarios
⦁ Sales & revenue analysis
⦁ Employee performance dashboards
⦁ Financial & budget tracking
⦁ Trend & KPI analysis
✅ Must-Have Strengths:
⦁ Quick report building
⦁ Clear & insightful dashboards
⦁ Understanding business metrics
⦁ Transforming raw data into actionable insights
For interviews, aim for PL-300 certification level—focus on data prep, modeling, and DAX (passing score 700/1000). Practice real scenarios to stand out! What's your current Power BI comfort level? 😊
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