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Новая вакансия

seniorremoteRUСкор undefined/1003д назад
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
airflowbigquerydbtexpressgitgithubnumpypandaspythonsnowflakesql
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Описание
Новая вакансия 👇👇👇👇👇 #lookfor #vacancy #remote #DataAnalyst #BI #SQL #PowerBI #Tableau We are looking for a Data Analyst / BI Analyst to join remote outstaff projects for our partner companies. Level: Middle+ / Senior Format: Remote Engagement: Full-time / long-term cooperation English: B2+ required Employment: possible official employment or contract cooperation in RF / RB / EU Responsibilities: • analyze business, product, operational, financial, marketing, or customer data; • build dashboards and reports in Power BI / Tableau / Looker / Qlik; • work with KPIs, funnels, cohorts, operational metrics, and performance reports; • write SQL queries for data extraction, validation, and analysis; • prepare recurring and ad-hoc analytical reports; • validate data quality and investigate inconsistencies; • translate stakeholder requests into metrics, dashboards, and reports; • present insights to non-technical stakeholders; • document metrics, report logic, and data sources. Required skills: • 3+ years as a Data Analyst / BI Analyst / Product Analyst / Reporting Analyst; • strong SQL: joins, aggregations, CTEs, subqueries, window functions; • Power BI / Tableau / Looker / Qlik or similar BI tool; • experience building dashboards and analytical reports; • understanding of business metrics and KPI reporting; • experience working with raw data and data quality checks; • ability to translate business questions into analytical logic; • ability to explain insights to non-technical stakeholders; • English B2+. Nice to have: • Power BI: DAX, Power Query, data modeling, RLS, scheduled refresh; • Tableau: LOD expressions, calculated fields, dashboard actions; • Python: pandas, NumPy, matplotlib, Plotly; • BigQuery / Snowflake / Redshift; • DWH / ETL / ELT / data marts; • dbt / Airflow; • Git/GitHub; • A/B testing, funnels, cohorts, retention, unit economics; • marketing, product, finance, operations, or BI analytics; • FinTech / Retail / SaaS / AdTech / Banking / E-commerce domain experience. Please send your CV in English with your rate, availability, location, preferred cooperation format, BI tools, and examples of dashboards or analytical reports. Contacts: • Доступно в источнике 🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻🔻 Наш бесплатный сайт с вакансиями 👉👉 Dream offer 👈👈 🔺🔺🔺🔺🔺🔺🔺🔺🔺🔺🔺🔺🔺🔺
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