Web Analyst

Вакансия № 36986739 в населенном пункте (городе) Москва, Россия от компании "B2Broker" на сайте Электронный Центр Занятости Населения (ЦЗН) Москвы.

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Логотип (торговая марка, бренд, эмблема, внешний вид здания или внутренний интерьер офиса):

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Обязательное требование к опыту работы искомого сотрудника: более 6 лет.

График работы: график: 5/2 (рабочих часов: 8).

Тип занятости: полная занятость.

Вакансия № 36986739 добавлена в базу данных: Понедельник, 1 сентября 2025 года.

Дата обновления этого объявления: Суббота, 27 сентября 2025 года.

Вакансия № 36986739 прочитана - 17 раз(а) Отправлено откликов - 0 раз(а)

Работодатель предложит заработную плату по результатам собеседования с соискателем работы.

Web Analyst

Exp : 5+
Location: Global/ Except Belarus and Russia, If you are located in russia and belarus apply only if you are open for relocation
Language : English(C1-C2)

Responsibilities

• Set up and maintain web analytics systems: Configure Google Tag Manager (GTM), Google Analytics 4 (GA4), and other analytics tools to ensure accurate data collection and event tracking across all digital assets (websites, mobile apps).

• Develop end-to-end analytics: Build comprehensive data pipelines that connect marketing channels, website interactions, and CRM data to visualize the entire customer journey from acquisition to conversion.

• Configure and optimize events and goals: Implement event tracking, custom dimensions, and conversion goals in GTM and GA4 to measure key performance indicators (KPIs) effectively.

• Create and automate dashboards: Develop real-time and ad-hoc dashboards using BI tools such as Power BI, Google Data Studio, Tableau, or QlikSense to provide management and teams with actionable insights.

• Analyze user behavior and conversion funnels: Identify patterns in user interactions, discover drop-off points, and provide data-driven recommendations to improve conversion rates.

• Support marketing and product teams: Collaborate with cross-functional teams to define analytics requirements, set up A/B tests, and analyze campaign performance.

• Provide insights for business growth: Analyze marketing channels’ efficiency (CPA, ROI, LTV) and generate insights to optimize advertising spend and enhance product engagement.

• Monitor data quality and troubleshoot issues: Ensure the accuracy of data collection, identify anomalies, and resolve tracking discrepancies promptly.

• Conduct A/B testing and experiments: Design and evaluate experiments to test new product features, marketing strategies, and UX improvements.

• Deliver regular reports and presentations: Summarize findings, visualize data, and effectively communicate insights to stakeholders in both technical and non-technical formats

Obligatory

• Experience with web analytics tools: Strong expertise in Google Analytics 4 (GA4) and Google Tag Manager (GTM), including event tracking, goal setup, and conversion measurement.

• Hands-on experience with GTM: Ability to configure events, set up tags, triggers, and variables, and ensure accurate data collection.

• Proficiency in end-to-end analytics (E2E): Experience in building analytics systems that cover the entire customer journey, from the first interaction with marketing channels to website behavior and final conversion.

• Strong data visualization and reporting skills: Proficiency with BI tools such as Power BI, Google Data Studio, Tableau, or QlikSense to create automated dashboards and reports.

• SQL knowledge: Ability to write complex queries, extract and process data, and work with relational databases.
• Experience with usability testing: Conducting usability tests on websites and mobile applications, interpreting results, and providing insights for product improvement.

• A/B testing and data analysis: Experience in designing, conducting, and analyzing A/B tests to validate product and marketing hypotheses.

• Excellent communication skills: Ability to translate complex analytical insights into clear and actionable recommendations for business and technical teams.
  

Mandatory

• Experience with additional analytics tools:
Familiarity with Yandex Metrica, AppMetrica, Firebase, AppsFlyer, or other web and mobile analytics platforms.
• Python skills: Experience with analytical libraries (Pandas, Numpy, Matplotlib) for data processing and automation.
• Knowledge of data warehousing solutions: Experience with ClickHouse, BigQuery, or other data storage systems.

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