Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой, после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
Muse Group operates a product ecosystem supported by CRM analytics, growth data, marketing automation, social performance analysis, and AI-driven workflows.
*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ
задачи
Analyze marketing data, build attribution models, and research new markets;
Build a CRM measurement framework from scratch across B2B and B2C audiences and CRM tools;
Build marketing mix models to estimate revenue impact from offline and online events;
Build social analytics and models for social post targets from scratch;
Perform comprehensive data analysis and develop dashboards for the marketing team;
Help the marketing team identify growth opportunities;
Develop tools and analyses to support product initiative prioritization;
Collaborate with the backlog and prioritize hypotheses based on predicted impact;
Participate in project work by formulating hypotheses and detailing logic and events to generate insights;
Work with team members to implement and launch experiments successfully;
Collaborate with engineers, product managers, and partners on user-centric data problems;
Share knowledge and promote standard methodologies through mentorship and constructive accountability;
Use LLMs to automate and optimize processes, reports, and marketing decision-making.
требования
At least 5 years of experience as a Marketing Analyst;
Understanding of marketing data and tools, including attribution, metrics/KPIs, GA4, Google Ads, Meta Business Manager, and HubSpot;
Experience building complex marketing analytics frameworks for multiple products, channels, audiences, and goals;
Experience in Social Media, Brand, CRM, and Digital Marketing analytics;
Experience building MMMs and attribution models;
Proficiency in SQL and familiarity with ClickHouse;
Proficiency in Python or R, including statistical, data engineering, and visualization libraries;
Experience with LLMs such as Claude or Perplexity, including building AI agents;
Strong knowledge of mathematics, probability theory, and mathematical statistics, including practical A/B testing and hypothesis testing experience;
Experience with BI and ETL tools such as Airflow;
Excellent written and spoken English at B2 level or higher;
Strong communication and collaboration skills with business and technical teams;
Product-oriented mindset with task-setting, planning, hypothesis generation, and project management abilities;
Nice to have: experience with on/offline event measurement, experience in marketing automation.