Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 3

Created:
- analytics alerting system;
- DAU / MAU/ WAU dashboard , cohorts report;
- Prediction Model for using BigQuery ML
Experienced Data Analyst with 3 years of expertise in leveraging Google Cloud Platform, Google Tag Manager (GTM), Python, Looker Studio, API development, and Jupyter Notebook to extract insights, generate reports, and optimize data-driven strategies. Proficient in building reporting systems, analyzing data, and creating custom alerting solutions within Looker Studio.

Collaborated with cross-functional teams to design and develop marketing and product reporting systems, facilitating data-driven decision-making processes.
Utilized Google Cloud Platform to manage, store, and process large datasets, ensuring data integrity and accessibility.
Implemented Google Tag Manager to streamline data collection processes, enabling accurate tracking of user interactions.
Developed Python scripts for data manipulation, transformation, and analysis, resulting in improved data accuracy and actionable insights.
Created custom APIs to automate data extraction and reporting tasks.
Utilized Looker Studio to design interactive and visually engaging dashboards, providing stakeholders with real-time access to key performance metrics.
Constructed an independent alerting system within Looker Studio, proactively notifying stakeholders of critical changes in performance metrics.
Collaborated with business partners to understand analytical requirements and translate them into effective data visualizations and reports.
Conducted ad-hoc analyses to address specific business questions and uncover opportunities for optimization.

Skills:

Data Analysis
Google Cloud Platform
Google Tag Manager
Python
Looker Studio
API Development
Jupyter Notebook
Data Manipulation
Dashboard Design
Cross-Functional Collaboration
Interesting and ambitious tasks
Growth as a professional
Team of motivated guys and strong professionals