Data Analyst

Experience

Hello! I'm a novice in the field of data analysis, having completed training courses. My passion for exploring data and interpreting it has driven me to delve into the realm of analytics. Equipped with knowledge ready for application, I am eager to enrich my experience and explore new opportunities in this exciting field.

Created a tabular visualization in Tableau Public: displayed categories of nominations and the number of films nominated within these categories over time, accompanied by percentage values. Additionally, built a dashboard with this data.

Analyzing player behavior in a gaming application involved delving into cohort dynamics to gauge long-term engagement. Utilizing tools like Google Sheets, and Looker Studio, I deciphered retention rates to track product interest over time.

For marketing analytics, I crunched numbers on CPC, CPM, CTR, ROI, ROAS, and ROMI, focusing on campaigns across Google and Facebook. Leveraging Dbeaver (PostgreSQL) and Looker Studio, I dissected data to optimize advertising strategies.

In the realm of Ecommerce, I utilized Google Analytics 4's sample dataset to measure critical metrics like funnel progression and conversion rates. Through Google BigQuery (SQL) and Looker Studio, I gained insights into Ecommerce performance and platform navigation.

Skills

SQL Tableau Data Analyst Python PostgreSQL MySQL Google BigQuery Google Analytics Data Analysis Power BI Data Visualisation analytical skills communication skills Jupyter Notebook MS Excel Google Sheets Looker Studio Data Analisys A/B testing BigQuery

Highlights

Implementing advanced predictive models that significantly enhance forecasting accuracy, resulting in a measurable increase in revenue or cost savings for the company.
Developing a comprehensive data visualization dashboard that provides actionable insights at a glance, leading to more informed decision-making across departments.
Identifying previously unnoticed correlations within large datasets, leading to the discovery of new market opportunities or operational efficiencies.
Successfully leading cross-functional teams in data-driven projects, resulting in the successful launch of new products or services based on data-driven insights.
Contributing to the development of innovative data analysis techniques or methodologies that become industry best practices, positioning the company as a leader in the field of data analytics.

Looking for

Expectations:

I seek roles where I can make a meaningful impact, contribute to team success, and witness tangible results. Additionally, I value continuous learning, collaboration, maintaining work-life balance, and receiving recognition for my contributions.

Preferences:
Micromanagement: I prefer a work environment where trust and autonomy are given, rather than constant supervision or micromanagement.
Limited Growth Opportunities: I am not keen on roles or companies where there is little room for advancement or where career progression is limited.
Toxic Culture: I want to avoid toxic work environments characterized by negativity, lack of transparency, or unethical practices.
Routine Tasks without Challenge: I seek roles that offer stimulating challenges and opportunities to problem-solve, rather than repetitive tasks without room for creativity or innovation.
Inflexible Work Arrangements: I prefer workplaces that offer flexibility in terms of work hours or remote work options, allowing for better work-life integration.

Preferred language

Українська, Русский