{"id":3338739,"url":"https://alion.io/job/bgstaff-analitik-1s","title":"Аналитик 1С","company":{"id":6483,"name":"BGStaff","domain":"bgstaff.ru","url":"https://alion.io/company/bgstaff","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["RU","BY","KZ","KG","AM"],"hiring_countries_total":5,"salary":{"min":150000,"max":200000,"currency":"RUB","period":"month","gross":null,"usd_annual":28332},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"1C","optional":false},{"name":"Airflow","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false}],"status":"live","first_seen_at":"2026-10-27T14:46:43Z","employer_posted_date":null,"last_verified_at":"2026-10-27T14:46:43Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Навыки: SQL, Python, PowerBI. 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Сейчас ищем Аналитиков 1С\nТребования к специалисту:\n- Не менее 4 лет опыта в аналитике данных;\n- Продвинутый уровень владения SQL: уверенная работа с CTE, JOIN, подзапросами и оконными функциями, навыки оптимизации запросов;\n- Практический опыт работы с dbt, реализация несложных моделей;\n- Уверенное владение Python: написание структурированного кода, выполнение сложных преобразований, оптимизация скриптов;\n- Опыт работы со Spark: самостоятельное формирование запросов, базовая оптимизация;\n- Навыки BI-разработки: построение моделей данных, настройка связей и расчетных мер (DAX или аналоги);\n- Владение Git на уровне повседневных операций: создание веток, коммиты, пуш, мердж-реквесты, участие в code review;\n- Опыт согласования дата-контрактов и организации мониторинга качества данных (DQ);\n- Практические навыки работы с кодовыми агентами, включая подключение MCP и skills.\nДополнительные требования:\n- Опыт в ритейле от 3 лет;\n- Работа с DataHub и Airflow;\n- Навыки 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